4 70-15,028 FITCH, Thomas Charles, 1936ROLE EXPECTATIONS FOR INTERN CONSULTANTS: VIEWS OF INTERN TEACHERS AND INTERN CONSULTANTS IN THE MICHIGAN STATE UNIVERSITY ELEMENTARY INTERN PROGRAM. Michigan State University, Ph.D., 1969 Education, teacher training U niversity M icrofilms, A XEROX C o m p an y , A n n A rbor, M ichigan ROLE EXPECTATIONS FOR INTERN CONSULTANTS: VIEWS OF INTERN TEACHERS AND INTERN CONSULTANTS IN THE MICHIGAN STATE UNIVERSITY ELEMENTARY INTERN PROGRAM By Thomas Cl Fitch A THESIS Submitted to Michigan State University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY College of Education 1969 PLEASE NOTE-: Some pages have small and indistinct type. Filmed as received. University Microfilms ABSTRACT ROLE EXPECTATIONS FOR INTERN CONSULTANTS: VIEWS OF INTERN TEACHERS AND INTERN CONSULTANTS IN THE MICHIGAN STATE UNIVERSITY ELEMENTARY INTERN PROGRAM By Thomas C. Fitch This study was designed to Investigate perceptions held by intern teachers and intern consultants for selected intern consultant role characteristics. Specifically, the investi­ gation focused upon interns’ and consultants' expressed (1) preference for, and (2) perceived frequency of, selected Intern consultant tasks. These tasks Included classroom management, conditions of learning, planning for learning, evaluation of learning, analyzing teaching behavior, and supportative behavior. A second aspect of the study focused upon interns' and consultants' expressed (1) preference for, and (2) perceived actual Intern consultant method of opera­ tion. This aspect was designed to determine the degree of (1) theoretical or practical, (2) consultant or intern initia­ tive, and (3) directive or non-directive method of operation used by the Intern consultant in actual practice. The sample of this study Included one hundred eightyseven Intern teachers and forty intern consultants involved Thomas C. Fitch in the Elementary Intern Program at Michigan State University spring term, 1969. The Intern Consultant Inventory, an instrument developed for this study, was administered to the subjects at ten off-campus teacher education centers. Responses by subjects on this instrument were analyzed by the Analysis of Variance procedure. Eight hypotheses were posed and tested by the Scheffe post-hoc comparison technique. The results are reported below. Conclusions of the Study Within the limitations of this study, the following con elusions were supported: 1. Intern consultants expressed a higher preference for each selected consultant task than elementary Intern teachers. 2. Intern consultants expressed a greater frequency of occurrence for each selected consultant task than ele­ mentary Intern teachers. Consultants perceived interns receiving greater assistance with greater frequency than interns. 3. Both interns and consultants preferred practicalness in intern consultant method of operation. When interns experienced problems they desired assistance which delineated particular procedures that had worked in the past. Consultants preferred to give practical alterna­ tive solutions to Interns’ teaching problems. Consultants perceived their method of operation as theoretically based while Interns perceived consultant Thomas C. Fitch assistance as practical. Interns preferred and perceived themselves receiving practical consultative assistance. Consultants, however, preferred to be practical but per­ ceived themselves as heinr, theoretical (examining under­ lying educational theory before considering specific action). Interns and consultants preferred a consultant method of operation that allowed interns to initiate action toward the solution of problems. Both groups felt that the intern learns best by actual involvement in the solution of teaching problems. Interns perceived themselves as responsible for solving their problems while the consul­ tants' responsibility was to provide the autonomy for them to do so. Interns and consultants perceived consultants as encour­ aging interns to initiate action in problem situations. Both groups preferred and perceived interns as initiating solutions to intern teaching problems. Interns and consultants preferred directiveness tant prescribing, (consul­ insisting on specific steps, telling the intern what to do) in consultant method of operation. Consultants preferred to^be more directive than interns preferred consultants to be. Both interns and consultants perceived the consultant method of operation as actually indirectlve (during dis­ cussion the intern identifies procedures, the consultant Thomas C. Fitch asks questions). Consultants did not prescribe, insist and tell interns what to do in actual practice, rather they probed by questioning the origin, description, and solution to intern's problems. 9. Interns and consultants wanted consultants to assist interns with planning. Yet, interns and consultants perceived interns receiving the least assistance with planning than any other selected consultant task. Interns desired help with planning and preceived themselves as not receiving this assistance with great frequency. 10. The analysis of teaching task was preferred highly but was perceived to occur with little frequency. wanted: Interns (1) help in analyzing their teaching weaknesses, (2) to be involved in analyzing demonstration lessons, (3) consultant evaluations, and (*0 written observation notes left by consultants. Interns were not receiving this kind of assistance very frequently. Consultants did not prefer nor did they perceive themselves extending this assistance to interns. ACKNOWLEDGEMENTS I would like to humbly express my thanks to Dr. Horton Southworth for his initial encouragement. friendship is appreciated. His continuing His commitment to teacher educa­ tion was contagious. Gratitude is extended to Dr. W. Robert Houston. His wise counsel and assistance throughout my doctoral program is deeply appreciated. I am indebted to Dr. W. Vernon Hicks, Dr. Glenn D. Berkheimer, and Dr. Robert G. Oana for their guidance in my graduate study. Special thanks is extended to Dr. William Joyce for his thoughtful and constructive criticisms of this study as a member of the oral examination committee. The patience, understanding, and support of my wife, Elsie, made this all possible. I am particularly apprecia­ tive and indebted to her for her love and her belief in me. My children, Jeff and Jody, will now experience a real, full­ time father. Their.sacrifice has been appreciated. TABLE OF CONTENTS Page ACKNOWLEDGEMENTS ........................................ ii LIST OF T A B L E S ........................................ v LIST OF I L L U S T R A T I O N S ..................................... ix LIST OF A P P E N D I C E S ....................................... xii Chapter I. THE NATURE OF THE I N V E S T I G A T I O N .............. 1 Introduction to the Study .................... 1 Purpose of the S t u d y ....................... 5 Statement of the Problem .................... 7 Research Hypotheses ........................... 8 Definition of Terms .......................... 9 Summary of Procedures ....................... 12 Organization of the S t u d y ........................ 1*1 II. REVIEW OF THE LITERATURE AND RELATED RESEARCH . 16 Introduction ................................. 16 Supervision of Beginning Teachers . . . . 16 Role T h e o r y ..................................... 24 Internships in Teacher Education . . . . 35 The Elementary Intern Program ............. 42 S u m m a r y ............................................55 III. PROCEDURES UTILIZED IN THE S T U D Y ..................57 Introduction ................................. 57 The Study S a m p l e ..................................57 Intern Teachers .............................. 59 The Composite Intern Teacher ................ 66 Intern Consultants .......................... 67 The Composite Intern Consultant ............. 74 iii Page Instrumentation .............................. Design of the S t u d y ....................... The Statistical Hypotheses of this Study . .................... Data Collecting Process Initial Steps in Data Processing . . . . Statistical Procedures Used in this Study . IV. 75 85 92 96 99 100 ANALYSIS OP D A T A ............................. 104 Intern Consultant Inventory Part A . . . 104 Hypothesis O n e ................................. 107 Hypothesis T w o ................................. 108 Further Exploration of Data from Part A of the Intern Consultant I n v e n t o r y .....................................109 Intern Consultant Inventory Part B . . . 126 Hypothesis Three .......................... 129 Hypothesis F o u r ................................. 131 Hypothesis F i v e ................................. 133 Hypothesis S i x ................ 135 Hypothesis Seven .......................... 137 Hypothesis Eight .......................... 139 Further Exploration of Data from Part B of the Intern Consultant I n v e n t o r y .................................... 141 V. SUMMARY, CONCLUSIONS, AND IMPLICATIONS . . . 159 S u m m a r y ........................................ 159 Limitations of the S t u d y ................... 167 Conclusions of the S t u d y ....................... 168 Implications of the S t u d y .................... 170 Implications for Further Research . . . . 171 BIBLIOGRAPHY ........................................... 177 A P P E N D I C E S .............................................. 183 iv LIST OP TABLES Table 3.1 3.2 3.3. 3.4. 3.5 3.6 3.7 3.8 3.9 3.10 3.11 Page Age Distribution* of the Intern Population, 1969 (^Corrected by 24 m o n t h s ) ............. 61 Distribution of Intern Population by Grade Point Average at Entrance to the Elemen­ tary Intern Program, 1967.................... 6l Distribution of Intern Population by Colleges Attended ........................... 63 Distribution of Intern Population by Annual Family Income ....................... 63 Distribution of Interns by Pre-College Community T y p e .............................. 64 Marital Status Distribution of Students Entering and Near Exit of the Elementary Intern Program, 1969 65 Distribution of Children for Married Intern Teachers Entering the Elementary Intern Program, 1 9 6 7 .............................. 65 Age Distribution of the Intern Consultant Population, 1 9 6 9 ........................... 68 Marital Status Distribution of Intern Consultants, 1969 69 Distribution of College Degrees Earned by Intern Consultants, 1969 .................... 69 Rank Order Distribution of Undergraduate and/or Graduate Degree Awarding Institu­ tion Attended by Intern Consultants, 1969 70 v . Table Page 3.12 Distribution of the Year the Master of Arts Degree was Earned by Intern Consultants .............................71 3.13 Distribution of the Number of Years of Teaching Experience for Intern Consultants, 1969 ............................. 72 3.14 Distribution of the Grade Level of Teaching Experience for Intern Consultants, 1 9 6 9 ............................. 7 3 3.15 Distribution of the Number of Different School Districts in which Intern Consultants have Obtained Teaching Experience, 1969 74 Distribution of Years of Experience as an Intern Consultant, 1969 ................... 75 3.16 3.17 A Listing of E.I.P. Centers with the Number of Intern Teachers and Intern Consultants Associated with Each Center, and the Supervisoral Ratio of Interns to Consultants, 1 9 6 9 .................... 86 3.18 A Listing of Elementary Intern Program Off-Campus Centers Cooperating In this Study, and Their Approximate Distances from the Michigan State University Campus, 1 9 6 9 ................................... 97 4.1 Analysis of Variance for Part A of the Intern Consultant Inventory .................. 4.2 4.3 105 P Test Result from the Analysis of Variance for Intern and Consultant S u b j e c t s .........................................110 P Test Results from the Analysis of Variance for Preference and Frequency . . . Ill 4.4 p Test Results from the Analysis of Variance for Selected Intern Consultant T a s k s ............................................ 112 4.5 A Rank Order of Mean Scores of Selected Intern Consultant Tasks Combining Intern and Consultant Perceived Pre­ ference and F r e q u e n c y ........................ 112 vi Page Table 4.6 4.7 4.8 4.9 4.10 4.11 4.12 4.13 4.14 4.15 4.16 F Test Result from the Analysis of Variance of Interns and Consultants and Selected Intern Consultant Tasks Collapsed Across Preference and Frequency ................................. 113 Mean Scores of Intern Teachers and Intern Consultants for Selected Intern Consul­ tant Tasks, Differences of Mean Scores, and Post-Hoc Comparison Test Results . 114 F Test Results from the Analysis of Variance of Preference and Frequency for Selected Intern Consultant Tasks 117 . Mean Scores of Preference and Frequency of Selected Intern Consultant Tasks, Differences of Mean Scores, and Post-Hoc Comparison Test Results ................ 118 F Test Result from the Analysis of Variance for Interns and Consultants and Preference and Frequency and Selected Intern Consultant Tasks .121 Rank Order of Interns and Consultants Preference for and Perceived Frequency of Selected Intern Consultant Tasks 122 Rank Order of Intern Teachers Expressed Preference for and Perceived Frequency of Selected Intern Consultant Tasks 124 Rank Order of Intern Consultant Expressed Preference for and Perceived Frequency of Selected Intern Consultant Tasks 125 Analysis of Variance for Part B of the Intern Consultant Inventory ............. 126 F Test Result from the Analysis of Variance for Preference and Perceived Actual Intern Consultant Method of Operation ................................. 142 F Test Results from the Analysis of Variance for Intern Consultant Method of Operation .............................. 144 vii Page Table 4. 17 4.18 Rank Order of Mean Scores for Intern Consultant Method of Operation by Combining Scores for Intern and Consultant Preference and Perceived A c t u a l ................................. P Test Results from the Analysis of Variance of Interns and Consultants Combined Preference and Perceived Actual Intern Consultant Method of Operation within Repeated Measures 144 . . . 145 4.19 Mean Scores of Intern Teachers and Intern Consultants for Theoretical, Initiating, and Directness in Intern Consultant Method of Operation, Differences of Mean Scores, and Post-Hoc Comparison Test R e s u l t s ......................................... 147 4.20 P Test Result from the Analysis of Variance of Preference and Perceived Actual Theoretical, Initiating, and Directiveness in Intern Consultant •Method of Operation ....................... 150 4. 21 Mean Scores of Preference for and Per­ ceived Actual Theoretical, Initiating, and Directive Intern Consultant Method of Operation, Differences of Mean Scores, and Post-Hoc Comparison Test R e s u l t s ......................................... 152 4.22 F Test Result from the Analysis of Variance for Interns and Consultants Preference for and Perceived Actual Intern Consultant Method of Operation . . 156 Rank Order of Interns and Consultants Preference for and Perceived Actual Intern Consultant Method of Operation . . 158 4.23 viil ILLUSTRATIONS Illustration Page 2.1 A Conceptual Scheme of the Michigan State University Elementary Intern Program....................................... 44 3.1 The Organization and Presentation of Preference and Frequency Scales Under the Behavioral Description of Consultant Task within a Category on Part A of the Intern Consultant I n v e n t o r y .................................... 78 3.2 A Conceptual Scheme Representing the Data Collected on Part A of the Intern Consultant Inventory .............. 79 A Conceptual Scheme Representing the Data Collected on Part B of the Intern Consultant Inventory .............. 8l Research Paradigm for Part A of the Intern Consultant Inventory .............. 89 Research Paradigm for Part B of the Intern Consultant Inventory .............. 91 3.3 3.4 3.5 4.1 First Order Interaction Effects for Intern Teachers and Intern Consul­ tants Mean Scores on Selected Intern Consultant Tasks Collapsed Across Preference and Frequency ................ 116 4.2 First Order Interaction Effects for Preference and Frequency Mean Scores on Selected Intern Consultant Tasks Collapsed Across Interns and C o n s u l t a n t s ............................... 120 4.3 Mean Scores of Intern Teachers and Intern Consultants on the TheoreticalPractical Continuum Indicating Prefer­ ence for Orientation of Consultant Method of O p e r a t i o n ..................... 130 Ix Page Illustration 4.4 4.5 4.6 4.7 4.8 4.9 4.10 4.11 4.12 Mean Scores of Intern Teachers and Intern Consultants on the TheoreticalPractical Continuum Indicating Per­ ceived Actual Theoretical Approach in Intern Consultant Method of Operation 132 Mean Scores of Intern Teachers and Intern Consultants on the Consultant-Intern Initiating Continuum Indicating Prefer­ ence for Initiating Intern Consultant .................... Method of Operation 134 Mean Scores of Intern Teachers and Intern Consultants on the Consultant-Intern Initiating Continuum Indicating Per­ ceived Actual Initiating Intern Consul­ tant Method of Operation ............. 136 Mean Scores of Intern Teachers and Intern Consultants on the Direct-Indirect Con­ tinuum Indicating Preference for Direc­ tiveness in Intern Consultant Method of Operation ........................... 138 Mean Scores of Intern Teachers and Intern Consultants on the Direct-Indirect Continuum Indicating Perceived Actual Directiveness in Intern Consultant Method of Operation .................... 140 Mean Scores of Preference for and Per­ ceived Actual Intern Consultant Method of Operation Collapsed over Theoretical, Initiating, Directiveness, and Subjects ........................... 142 First Order Interaction Effects for Intern Teachers and Intern Consultants Mean Scores on Repeated Measures . 148 Mean Scores of Intern Teachers and Intern Consultants on the Initiating Continuum Combining Preference and Perceived Actual Intern Consultant Method of Operation .................... 150 First Order Interaction Effects for Preference for and Perceived Actual Theoretical, Initiating, and Dir­ ective Intern Consultant Method of O p e r a t i o n ....................... x . . 153 Page Illustration 4.13 4.14 Mean Scores of Preference for and Perceived Actual Theoretical Intern Consultant Method of Operation on the Theoretical-Practical Continuum . Mean Scores of Preference for and Perceived Actual Directive Intern Consultant Method of Operation on the Direct-Indirect Continuum . . . . . 154 156 LIST OP APPENDICES Appendix A Page Map of Michigan State University Elementary Intern Program Center Locations, 1969 ............................. B The Intern Consultant Inventory C Item Intercorrelational Matrix for the Intern Consultant Inventory Part A and Part B ......................... D . . . . Frequency Count for Individual Item Scores of Interns and Consultants of the Intern Consultant Inventory . . xii 18-4 186 216 . 225 CHAPTER I THE NATURE OF THE INVESTIGATION Introduction to the Study Internships as a means of preparing teachers are of vital interest in teacher education. Teacher internship is analogous to the medical profession internship. An inter­ ship is predicated on the assumptions that (1) theory must be integrated with practice, (2) gradual Induction into the profession over time Is desirable, (3) internship is one part of a series of learning experiences, (4) learning should be based upon actual participation and involvement in the real professional milieu, and (5) continuing individualized guidance and supervision by an experienced practitioner is essential. Concern recently has been expressed by teacher educator regarding the quality of supervision afforded inductees Into the teaching profession. D. D. Darland and Roy Edelfelt expressed the following observations: The neophyte teacher has long been neglected. Although experienced educators seldom forget their beginning days, weeks, and years of teaching, they have done little In studying the plight of the beginners. They have done even less In helping young professionals to get 2 started properly . . . Induction to teaching must be dealt with as a pertinent stage in career development. A new teacher should not be left to the isolation of his own classroom, to succeed or fail depending on his ability, Ingenuity, and resilience . . . He should be treated for what he is --- a beginner and given the time and assistance he needs to develop his own teaching style.1 Jerome S. Bruner, chairing a symposium devoted exclu­ sively to the manner in which elementary school teachers are prepared, reported the following in a list of recommendations: School systems should take a hard look at the kind of supervision which they have in their schools and the role of the supervisor should be re-examined, especially as it relates to the new teacher.2 Others concerned with initial supervision raise some of the following questions: What is presently being done to help the beginning teacher? How productive and effective Is it? What should be done that is not being done? What help and guidance in getting started effectively does every beginning teacher have the right to expect? In 1959, the College of Education at Michigan State University initiated a program of internship for the prepara­ tion of elementary school teachers. In 1964 the Elementary National Commission of Teacher Education and Pro­ fessional Standards, The Real World of the Beginning Teacher (National Education Association: Washington, D. C.7 1965) p. vii. 2 Jerome S. Bruner, A Symposium on the Training of Teachers for Elementary Schools, and IDEA Occasional Paper, (Kettering Foundation, Dayton, Ohio, 1968). 3 Intern Program (E.I.P.) became a regular part of the College of Education's elementary education curriculum. To provide supervision for intern teachers a position was created which freed competent and experienced elementary classroom teachers to work exclusively with intern teachers on a full-time basis. This position was called "Intern consultant." The intern consultant was selected jointly by the public school districts and the university to supervise interns. Funding from the Ford Foundation partially supported the early development of E.I.P. The final report to the Ford Foundation s t ates: The intern consultants, selected from the most able teachers in the cooperating school districts, have developed in-service education of new teachers far beyond the initial expectations. The low ratio of interns to intern consultants (5 to 1) and the closeness and continuity of their relationship has made it possible for very specific help to be offered and accepted. Typically, the consultants have found that at the beginning of the Internship they are able to aid the Intern In securing teach­ ing materials, In offering support and advice on Instructional problems, In demonstrating effective teaching methods, and the like. As the intern becomes more secure, the consultant is able to raise the intern's horizons, encourage experimenta­ tion and creative solutions of teaching problems, and prevent routinization. Most Importantly, the consultants have helped bridge the gap between the college course work and the public school class­ room by helping the intern to relate 'theory' and 'practice.'3 This account of the effectiveness of the intern con­ sultant was based upon oral communication with interns and 3 Michigan State University College of Education, "Elementary Intern Program: Another Way of Learning to Teach," 1966. public school administrators and supplemented by off-campus directors' hunches and Intuitions. The conclusion was not based upon carefully designed research. With the exception . 4 of a study by Corman and Olmsted, no research has been undertaken to discover, either descriptively or analytically, how intern consultants relate with intern teachers in the clinical elementary classrooms. Corman and Olmsted suggested that Michigan State Univ­ ersity had created a qualitatively new and unique position 5 in the intern consultant. They stated, on the basis of their analysis, that the intern consultant position is the key to exploiting the potential inherent in the internship. No specific formal guidelines, however, were written for those initially selected to assume the role. As a result, . . . there were few pressures to establish firm bureaucratic controls on their practices . . . adjustment to the position was compli­ cated by the fact that the initial group of consultants were given few operational guide­ lines. The most commonly repeated admonition they received was that, 'until we see how things go, we can only guess at what the problems and answers may be, so you will have to play it by ear . '6 4 Bernard R. Corman and Ann G. Olmsted, The Internship in the Preparation of Elementary School Teachers (Bureau of Education Research, Michigan State University, East Lansing, Michigan, 1964). 5Ibid. ^Ibid., p . 65. 5 Need for the Study In the absence of written guidelines, the intern con­ sultant role may have evolved beyond the "play it by ear" posture during the past decade. Clearly a need exists to study the role expectations for intern consultants in the Michigan State University Elementary Intern Program because: (1) In Internship experiences, positions are created in order to provide guidance for interns. Expectations for behavior become attached to the positions involved, thus defining roles such as methods Instructor, student teaching supervisor, intern consultant, center director, and others. The role expectations for the Intern consultant position have not been explicitly described. (2) Intern teachers hold a set of expectations concerning supervisoral behaviors which is helpful in improving their teaching behaviors. An under­ standing of such expectations could cause certain supervisoral behaviors to be emphasized while others could be modified or eliminated. (3) Intern consultants would be explicitly aware of what interns expect from them. At present they can only surmise these expectations from subtle feedback. This knowledge could direct their efforts as they work with intern teachers. (4) A study of role relationships may ultimately contribute to an understanding of which specific consultant supervisoral behaviors will produce specified and desired results in intern teaching practices. (5) Of the lack of 6 continued empirical research related to consultant-intern professional relationships as E.I.P. enters its second decade. Importance of this Study This problem is important to study because: 1. an exploratory study of these expectations will contribute to the baseline information needed to carry out further evaluative research within the E.I.P. In addition, further program plan­ ning could be based upon varified information, I.e. intern consultant selection, orientation, in-service education, evaluation, and the im­ proved assistance delivered to intern teachers. 2. it seems reasonable to expect that some of the problems of the first year of teaching are shared by both interns and first-year teachers. In too many Instances, first-year teachers are assigned to isolation chambers. Supervision may be nonexistent, punitive, or solely evalua­ tive for tenure purposes. Understanding Interns' expectations for supervision may hold implica­ tions for the supervision of beginning teachers. 3. the findings of this study may have implications for teacher education in terms of the quality of supervision of direct laboratory experiences. Based on the above-stated need and rationale, a statement of the purpose of the study follows. The purpose was three fold. Purpose of the Study The purpose of this study was to investigate three basic questions: (1) How do incumbent intern consultants perceive the role of the Intern Consultant position? (2) How do intern teachers perceive the role of the Intern Consultant position? (3) How are the perceptions of incumbent intern consultants and intern teachers for the role of the Intern Consultant position alike, and how are they different? These questions were central to an initial description of the Intern consultant’s role In the Elementary Intern Pro­ gram. The perceptions of role incumbents, intern consul­ tants, and those most directly affected by the intern con­ sultant position, Intern teachers, were of primary Interest In this investigation. Statement of the Problem Many persons come in contact with the Intern consultant position and as a result hold beliefs relative to the role. These persons Include interns, their principals, superin­ tendents and central office administrative personnel, university center director, professors and staff of the university, children In the interns' their parents. classrooms and Indirectly Each of these populations holds certain 8 beliefs concerning who the intern consultant is, what he does, and his status. Each vantage point casts new light on the status of the intern consultant role. However, the major affected groups, and the ones most concerned with the work of the intern consultant is the consultant himself and the intern with whom he works. This study was concerned with the role of the intern consultant as perceived by these two populations. What are the perceptions for selected intern consultant role characteristics upon which both consensus and diver­ gence is held by intern teachers and intern consultants in the Michigan State University Elementary Intern Program? The consultant’s role is multi-faceted. This investigation was concerned with general components of the role. Thus, these components led to the development of the general hypotheses which follow. Research Hypotheses This study was designed to test one major proposition: Intern teachers and intern consultants perceive differently the role of the intern consultant in the Michigan State University Elementary Intern Program. In exploring this proposition, eight hypotheses were posed and tested. 1. Intern teachers and intern consultants express different preferences for selected Intern consultant tasks. 9 2. Intern teachers and intern consultants perceive a different frequency of occurrence of selected intern consultant tasks. 3. Intern teachers and intern consultants express different preferences for a theoretical approach in intern consultant method of operation. *1. Intern teachers and intern consultants perceive differently the actual theoretical approach in intern consultant method of operation. 5. Intern teachers and intern consultants express different preferences for initiating intern consultant method of operation. 6. Intern teachers and intern consultants perceive differently initiating intern consultant method of operation. 7. Intern teachers and Intern consultants express different preferences for directiveness in intern consultant method of operation. 8. Intern teachers and intern consultants perceive differently the actual directiveness In intern con sultant method of operation. Definition of Terms The following describes the operational definition of terms used in this study: The Elementary Intern Program (hereafter referred to as E.I.P.) Is a teacher education program that prepares elementary and special education teachers, using a full-year internship as the culminating lab­ oratory experience, and which Is offered by the College of Education at Michigan State University. 7 7 This program is extensively described in CHAPTER II of this report. The intern teacher (also referred to as intern) is contracted by and paid by a local school board, assigned a carefully planned teaching load for a school year, supervised by an intern consultant, and is a student enrolled at Michigan State Univer­ sity in college courses that parallel his professional experiences. The intern consultant (also referred to as consul­ tant) is assigned to supervise intern teachers on a full-time basis and regularly weekly visits the intern in the interns' classrooms. He offers support, guidance, instruction, demonstration lessons, teaching ideas and materials, and other assistance to the employed intern teacher. Approximately 8 5 % of the consultants' time is spent in working with interns on an individual basis. Consultants are employed by the local school district through a cooperative agreement with Michigan State University's College of Education. A perception is a unique and individual sensory construct or awareness in the mind of a human being; i.e., "1) how an individual sees himself, 2) how he sees the situations in which he is involved, and Q 3) the interrelations of these two." 0 Arthur W, Combs, The Professional Education of Teachers: A Perceptual View of Teacher Preparation (Allyn and Bacon, Inc., Boston, 19£>5), P • 12. 11 A position Is the location of an Individual or class of individuals in a system of social relation­ ships . A role expectation is an evaluative standard applied to an occupant of a position; i.e., what an individual is expected to do in a given situation. A role is a set of expectations applied to an occupant of a particular position. Role consensus exists when similar expectations are held for an occupant of a position. Role conflict exists when contradictory expecta­ tions are held for an occupant of a position. Selected Intern consultant tasks are those be­ haviors which the intern consultant exhibits while working directly to improve the instruction afforded the children in the Intern teachers' classrooms. Specifically they include Classroom Management Tech­ niques, Conditions of Learning, Planning Learning Experiences, Evaluation of Learning Experiences, Analyzing Teaching Behavior, and Supportative Behavior. Preference for is choosing or selected from alterna­ tives on the basis of an individual's unique system of priorities. Frequency of occurrence is the number of times an event happens or a behavior is exhibited. 12 Theoretical orientation Is the tendency to examine underlying educational theory before considering specific action. Method of operation refers to patterns of assist­ ing behaviors or habitual responses perceived integral to the conduct of the intern consultant's role. Initiating behavior is taking the offensive in a situation or beginning action to solve a problem. Directiveness is prescribing, insisting on specific steps to take, or telling someone exactly what to do. Summary of Procedures Subjects The sample of intern teachers included 187 of 191 individuals who were (1) supervised by an elementary intern consultant, (2) teaching during the 1968-1969 academic year in a public school elementary classroom in Michigan, and (3) enrolled in the Elementary Intern Program at one of ten off-campus teacher education centers operated by Michigan q State Universiey. Of all E.I.P. intern teachers who met the above criteria during the spring of 1969, ninety-eight percent participated as subjects in this study. The intern consultant subjects were (1) engaged full­ time in supervising intern teachers, g (2) employed by their A map of Michigan indicating specific center loca­ tions is found in APPENDIX A. 13 local cooperating school districts, and (3) affiliated with Michigan State University by agreement with public school districts. Forty intern consultants, 100 percent, partici­ pated in this study. Instrumentation The Intern Consultant Inventory,10 was constructed for the purpose of this study to elicit subjects' perceptions of (1) preference for, and frequency of, selected intern con­ sultant tasks, and (2) preference for, and perceived actual, intern consultant method of operation. sisted of two discrete parts. The instrument con­ Part A was designed to present a consultant behavior followed by two continua, one for pre­ ference and one for frequency. Subjects responded on answer sheets indicating their perceptions of preference and fre­ quency of occurrence of that specific consultant behavior. Four such consultant behavioral descriptions represented a selected consultant task. There were six consultant tasks. Part B was constructed to present problem situations typically encountered by first year teachers. situations. There were five problem Each situation was followed by six continua. Three continua for preference and three for perceived actual intern consultant method of operation. Intern teachers responded to one form of this instrument. The wording was 10This instrument is found in APPENDIX B. 14 changed slightly to accomodate intern consultants responses to a similar form. Both forms are presented in Appendix B. Data Collection and Analysis The subjects indicated their individual perceptions by responding to scaled continua on the Intern Consultant Inventory and placing their responses on answer sheets. Interns assigned to a consultant were treated as one Indi­ vidual observation and their mean score compared with the observation of their consultant. The mean scores of paired interns and their consultant were compared by post-hoc com­ parisons after the Analysis of Variance Indicated significance. The Analysis of Variance was employed to test for over­ all significance of the Intern Consultant Inventory. The 5 percent level for acceptance or rejection of the null hypothesis was selected as being sufficiently rigorous for the conditions of this study. The statistic used to test each of the eight hypotheses was the Scheffe post-hoc com­ parison. Organization of the Study Following the development of the rationale for and purposes of the study in Chapter I, the related literature and research are summarized In Chapter II. Include those concerned with: ginning teachers; Studies examined (1) the supervision of be­ (2) role theory; (3) internship in teacher education, and (4) the Elementary Intern Program. 15 The research design Is outlined In Chapter III. The population of the study, Instruments, and research procedures employed, are described. The rationale for the selection of statistical procedures and their underlying assumptions are discussed. Statistical analyses utilized in testing the eight hypotheses of the study and in evaluating data related to the problems posed are presented in Chapter IV. Chapter V is the concluding chapter of the report, and includes a summary of findings and the conclusions drawn from the study. Implications for teacher education, for the Elementary Intern Program, and for further research are drawn. C H A P T E R II REVIEW OP THE LITERATURE AND RELATED RESEARCH Introduction The review of the literature focused upon four areas, they were (1) supervision of the beginning teacher, role theory, (2) (3) internships in teacher education, and (4) the Elementary Intern Program. several purposes: This review served (1) it served as a conceptual and theo­ retical frame of reference for this study, (2) it selec­ tively sampled descriptions of research findings related to this study, and (3) it guided and substantiates the research methods employed in this study. Supervision of Beginning Teachers Supervision has been defined by Good as All efforts of designated school officials toward providing leadership to teachers and other educa­ tional workers In the improvement of Instruction; Involves the stimulation and professional growth and development of teachers.1 Most writers in this field concur that supervision is a process. It has as its goal the modification of behavior toward the improvement of instruction. 1Carter V. Good, (ed.), Dictionary of Education (New York: McGraw-Hill, 19^5), p. 16 17 Allen 2 proposes that new kinds of supervision are needed for the beginning teacher. He suggests that to the classroom teacher, the term supervision,has several connota­ tions, most of them unpleasant: (1) to some it means "snoopervision,11 and unwarranted encroachment on teachers* professional status, (2) to others it is threatening, irre­ levant, and unnecessary. The emphasis has been on critical evaluation rather than providing direction toward the im­ provement of instruction. His penetrating analysis touches the root of the problem of providing assistance to beginning teachers. He states, The crux of the problem is that we have isolated the teacher in his classroom and thus closed off the most potent avenues of direction and aid. In limiting the concept of supervision to evaluation, we have vitiated Its power to bring about real change and new insight to the teacher.3 Chaltas, et a l ., concur with Allen's assessment. They write, A critical look at the practice (of supervising beginning teachers) across America reveals that the situation is more bleak than the*profession cares to admit publicly. Great numbers of 200,000 new teachers each year are assigned to convenient Isolation chambers. A cursory bit of observation and evaluation Is all one finds when tenure appointments must be made. Tragically, supervision for tenure is too exclusively evaluation. 2 Dwight W. Allen, "A New Face for Supervision," Remaking the World of the Career Teacher (Washington, D.C.: N.C.T. e Tp .S. of the National Education Association, 1966), pp. 121-126. 3Ibid., pp. 121-122. 18 It Is rarely a part of a realistic professional^ growth pattern extending through to retirement. The transplanted supervisory model from industry with its authoritatively established input-output emphasis upon product, largely ignores the needs, interests, abilities, and aspirations of the beginner. It is mechanistic, de­ humanizing, and fails to yield long term or career returns. 15 Shaplln also agrees with this position. He points out that supervision, with helpful Intent, requires an enormous amount of time. The novice teacher is isolated from other teachers but has Just as much responsibility as his more experienced colleagues. He contends that (1) schools must accept more direct responsibility for the training of teachers, (2) present supervisory arrangements in the schools are inadequate, especially for beginning teachers, and the work tends to be done by principals, supervisors and department heads who are themselves removed from teaching children, (3) the highly specialized nature of supervision, and the skills and knowledge required, are little understood, or disregarded, by the schools. He suggests that supervision of beginning or intern teachers 4 John G. Chaltas, with Jannene M. Kain and Horton C. Southworth, "The Supervision of Intern Teachers," Intern­ ships in Teacher Education, the Forty-seventh Yearbook of the Association for Student Teaching, ed. by Horton C. Southworth (Washington, D . C . : National Education Associa­ tion, 1968), p. 77-78. 5 Judson T. Shaplin, "Practice In Teaching" In Teacher Education: A Reappraisal, ed. by Elmer R. Smith (New York: Harper and Row, Publishers, 1962), pp. 80-124. 19 can best be done by those who remain In close contact with teaching and that sufficient time be allocated for the observation, analysis, and evaluation of teaching. Bruner reported, "there is an urgent need for con­ tinuing on the job training and assistance for new teachers."^ Hermanowicz wrote, "more supervision and assistance with in7 structional problems should be given the beginning teacher." Denemark recommended, "assigning able career teachers to supervisory or helping teacher roles, particularly in rela­ tion to beginning teachers, which could provide immediate o on-the-scene help to new teachers." Chandler, et a l . « pro­ posed that Teacher education institutions should retain an active interest in and concern for the professional growth and welfare of their graduates during the initial year of employment or longer . . . through the use of supervisory personnel appointed jointly by the teacher education institutions and the city school system.9 ^Bruner, o p . c i t . , p. 12. 7 Henry J. Hermanowicz, "The Pluralistic Work of the Beginning Teacher," The Real World of the Beginning Teacher (Washington, D.C.: NCTEPS of the National Education Asso­ ciation, 1966), p. 20. g George W. Denemark, Remaking the World of the Career Teacher (Washington, D . C . : NCTEPS of the National Education Association, 1966), p. 92. 9 B. J. Chandler, et a l .. Research Seminar on Teacher Education (Washington, D.C.: United States Office of Education, Cooperative Research Project No. G-011, 1963)* p. 164. 20 Many writers agree that beginning teachers need assist ance during their first year. Bond and S m i t h ^ conducted a study which attempted to identify and analyze methods used in the selection, appointment, orientation, supervision, and inservice training of beginning teachers. Their findings indicated that, in many instances, supervisors were not effective in providing support and guidance to new teachers. They concluded that the introduction of beginning elementary school teachers to their new profession was a "haphazard affair at b e s t . " ^ The process of supervision has a substantial body of 12 13 14 theory. Wiles and Harris, Heald and Moore, and many others describe the principles of "good" supervisory prac­ tice. The problem is not a lack of theory; rather it is the application of the theory into practice in real life situa­ tions. This process of applying supervisory theory is not well understood. Erickson urged research in the area of ^ G e o r g e W. Bond and George J. Smith, "First Year of Teaching," The National Elementary Principal (September, 1967), pp. 55-59. 11I bld., p. 59. 12 Kimball Wiles, Supervision for Better Schools (Engle­ wood Cliffs, New Jersey: Prentice-Hall, 1967)> p^ 399. 13 Ben Harris, Supervisory Behavior in Education (Engle­ wood Cliffs, New J e r s e y : Prentice-Hall, 1963), p. 557* 1*1 James E. Heald and Samuel A. Moore, II, The Teacher and Administrative Relations in School Systems (Toronto, Canada: The Macmillan Company, Inc., 1968), p. 304. 21 school supervisory personnel practices. He saw the, . . . need for descriptive studies of practices in supervision that would include data on styles of supervision, time allotted for supervision, personnel involved, and subjective evaluation of effectiveness of supervisory practices.15 A recently reported study, closely paralleling the methodological procedures used in this investigation, was designed to determine the extent of variation in supervisory techniques. A major conclusion of that study was that, "apparently many variations exist in the procedures used by supervisors of teachers, especially of beginning teachers. This conclusion was drawn from a survey which was conducted to evaluate the variability of attitudes toward supervisory techniques among beginning mathematics teachers in public schools in the Middle Atlantic States Region. It was an analytical appraisal of the various attitudes of beginning teachers with five years or less experience. A questionnaire was mailed to schools in Pennsylvania, New York, New Jersey, Maryland, and Delaware and 300 responses were returned. The techniques investigated and evaluated by the teachers were: orientation of new teachers, classroom visitation, individual conference, faculty meeting, depart­ mental meeting, the workshop, small group activity and 15 John E. Erickson, "On the Development of School Supervisory Personnel: A Case in Point," The Journal of Teacher Education, Vol. 20, No. 1, Spring, 1969, p. 69. ■^Sandra N. Smith, "Supervisory Techniques with Beginning Mathematics Teachers," Educational Leadership, (January, 1969), p. 378. 22 teacher committees within the school, curriculum development and implementation, demonstration teaching, inservlce edu­ cation and professional growth, instruction in the use of audio visual aids, evaluation, and research and experimenta­ tion. Each, of these thirteen categories, was subdivided into scales eliciting perceptions of frequency and value by the responding teachers. In each state and in the composite summary, the per­ ceived value was greater than the frequency of occurrence A of that technique. Smith found that evaluation and demon­ stration teaching were among the least utilized supervisory techniques. She did not indicate the specific statistical procedures utilized in analyzing the data. Ten recommenda­ tions were reported in the article. A study reported by Gentry and Kenney 17 examined possi­ ble divergencies between the way elementary school principals evaluated their performance in carrying out certain adminis­ trative practices and an evaluation of the principals’ performance as Judged by the teaching staff. Randomly selected teachers and principals in 60 elementary schools in the state of Georgia were respondents in the study. The sample group responded to 200 administrative practices in­ cluded in an evaluative instrument. 17 The administrative Harold W. Gentry and James B. Kenney, "The Perform­ ance of Elementary School Principals as Evaluated by Principals and Teachers," The Journal of Educational Res earch, Vol. 60, No. 2 (October, 1966), p. 64-67. 23 functions sampled included: (1) planning, (3) actuating, and (4) evaluating. (2) coordinating, The sample indicated their perceptions using a seven category response set. A Chi-square analysis was performed to test the differ­ ence in the response of the two groups regarding the perform­ ance of the principal in carrying out these administrative practices. The findings indicated that: (1) teacher and principal perceptions differed significantly (.05 level of confidence) in their evaluation of the principals' perform­ ance, (2) they differed significantly at the (.05 level) on six of nine items related to the planning function, on six of twelve items related to the organizing function, on six of seventeen items related to actuating function, and on four of eight items relating to the evaluative function, (3) the principals saw their performance as more satisfactory than did their teachers on 18 of the 22 administrative prac­ tices on which the ratings of the two groups differed signi­ ficantly, and (4) the teachers gave the principals a higher rating on the actuating function than on the functions of planning, organizing, and evaluating. The findings of the Gentry and Kenney study are similar to the findings reported in this study of intern consultant supervisory functions. The review of the literature on the supervisory prac­ tices involved in helping beginning teachers yielded a key link to the instrumentation developed for this study of the 24 intern consultant. Shaplin, 18 contained in Teacher Education: in his excellent chapter A Reappraisal, identified and described fundamental types of supervisory practices that should be included in the systematic training of a teacher. Many of the categories found in the Intern Con­ sultant Inventory were grounded in Shapllns' theoretical construct. The development of categories was also influ- enced by Smith. 19 A detailed description of the development of this instrument is presented in Chapter III of this report. Role Theory Role theory is a system of interrelated concepts which occupies a significant position in the literature of the social sciences. It is an interdisciplinary theory, with variables drawn from studies of culture, society, and 20 personality. Sarbin states that, "the broad conceptual units of the theory are role, the unit of culture; position, the unit of society; and s e l f , the unit of personality." Because the concept is employed by writers representing several disciplines, differences exist In the way in which 18 Shaplin and Judson, op. c i t . , pp. 88-103. ^ E l m e r R. Smith, "Specialized Knowledge" in Teacher Education: A Reappraisal, ed. by Elmer R. Smith (New York: Harper and Row, Publishers, 1962), p. 6l. 20 Theodore R. Sarbin, "Role Theory" in Handbook of Social Psychology, ed. by Gardner Llndzey (Cambridge, Mass.: Addison-Wesley Publishing Company, Inc., 1954), p. 223* 25 It is defined. The focus of the particular discipline and the problems peculiar to it often determine the theoretical construct and operational research procedures employed. Thomas and Biddle 21 indicate that role theory owes much to the theater; and that its perspective and language allow for more than a metaphorical characterization of human behavior. They report, The field of role consists of a body of know­ ledge, theory and characteristic research endeavor, and a domain of study, in addition to a particular perspective and language. In these respects role theory Is not unlike its sister specializations In behavioral science, and like any scientific endeavor role theory aspires to understand, predict, and control the particular phenomena included in its domain of s t u d y . 22 The common elements which characterize the concept of role theory as used by many writers are summarized by Gross, 23 Mason, and McEachern. They suggest that, The three basic ideas which appear in most conceptualizations are that individuals in (a) social locations (b) behave with reference to (c) expectations. There are two major points of emphasis within these common elements. The first is that human behavior does not occur at random; the behavior of the individual is influ­ enced to some extent by his expectations and by the expectations of others In the group or society of which he is a part. The second is 21 Edwin J. Thomas and Bruce J. Biddle, Role T h e o r y : Concepts and Research (New York: John Wiley and Sons, Inc., 1966), pT 3~. 22Ibid., p. 17. 23 Neal Gross; Ward S. Mason; and Alexander McEachern, Explorations in Role Analysis (New York: John Wiley and Sons, I nc., 195S) , p. 3- 26 that expectations are assigned to individuals on the basis of their positions or locations in systems of social relationships. Thus, a role is defined by expectations of self and others and is a dynamic of interacting within a social system. Brookover 2k used role theory to design a theoretical construct applicable to the examination of role behavior and role conflict within an education context. His model is based on the assumption that the concept of role is only meaningful in a social interaction situation.,'* He suggests that expectations which direct the dynamics of the situation are generated by communications which produce new expecta­ tions and new understandings. In reality the nature of the setting in which the concept functions is not fixed nor static, but in continual flux. 25 Corrigan and Garland point out that the Association for Student Teaching has attempted to help define roles and solve role conflict problems in student teaching situations by publishing several yearbooks and other publications. The focus of these reports have been on primary roles oper­ ating in the student teaching situation. They suggested that these have not had extensive impact on role conflict problems 2k Wilbur B. Brookover, "Research o n Teacher and Administrative Roles," Journal of Educational Sociology» Vol. 29 (September, 1955). 25 Dean Corrigan and Colden Garland, "Studying Role Relationships," a pamphlet ed. by Leon F. Miller (Cedar Falls, Iowa: The Association for Student Teaching, 1966), P . 5. 27 since they are of a general descriptive nature. Another shortcoming is that they treat only one role at a time instead of viewing roles in their relationships to other roles. The importance of role theory as it applies to teacher education can be understood when one surveys the current educational scene. In a relatively short period, greater enrollments in teacher education programs accompanied by an emphasis upon realistic direct experience has resulted in the movement from laboratory schools into off-campus cooperating schools. New coalitions between schools and colleges have been established. Under these cooperative arrangements new positions such as clinical associates, clinical professors, student teaching coordinators, and intern consultants, to mention a few, have been created. In many instances these positions involve dual appointments to schools and colleges. These positions have been added to already existing cadres of helping teachers and various subject matter consultants and coordinators within the public school supervisory structure. The most striking consequence of these developments is the greater number of people becoming involved in teacher education. The result is that new roles must now relate with one another in this teacher education interaction system. The need for clarity of purpose and harmony within 28 these interacting roles is necessary if role conflict is to be minimized. Recent recognition of the need for research on the interaction of roles in internship programs of teacher edu­ cation was noted in The Association for Student Teaching 26 Forty-Seventh Yearbook. Various writers in this yearbook called for investigations of programs, modes of supervision, and the internship experience. They emphasized the use of role theory as a framework for the needed research. This study is an outgrowth of the admonitions of these writers to researchers in teacher education. Southworth and others suggested that those involved in teacher internship programs must make relevant connections between the apparently valid findings of research in role theory and the task of the supervisor. They also made the point, central to this research, that, If the behavior of any individual is influenced to some degree both by his expectations and by the expectations of others in his social system, then it is not enough for the supervisor alone to per­ ceive his role. The intern's perceptions of the supervisor’s role must overlap with those of the supervisor if a feeling of satisfaction with the work achieved is to prevail.27 Recognition of the need for research criteria suggest that one way to attack the problems of role and role conflict 26 Internships in Teacher Education, ed. by Horton C. Southworth (Washington, D.C.: The Association for Student Teaching, Forty-Seventh Yearbook, 1968), p. 91. 27Ibid. , p. 89. 29 is through perceptions— through identifying what is expected of professional personnel (intern consultants), what they expect of themselves, and what others (intern teachers) 28 expect of them. This study utilized procedures selected from role theory and various studies reported in the teacher education literature. Review of Selected Studies Based on Role Theory Many investigations have been conducted for the purpose of determining role expectations for various positions in teacher education. The bulk of these studies have been con­ cerned with the supervising teacher role and the student teacher role. No studies were reported which had investigated role relationships in teacher internship programs, with the 29 exception of a study by Corman and Olmsted, Consequently, the focus of this review was upon research methods, design, and analysis used in investigating role expectations and perceptions. Findings are included only where appropriate. 30 Beckwith studied the role of the English teacher as perceived by student teachers and supervising teachers of English. 28 She developed an original instrument which evolved Corrigan and Garland, o p . c l t . , p. 6. 29 This study is reported in greater detail in a later section of this Chapter. 30 Gladys M. Beckwith, "A Study of the English Teacher Role in the Secondary School as Perceived by Student Teachers and Supervisory Teachers of English." (Unpublished doctoral dissertation, East Lansing, Michigan: Michigan State Univer­ sity, 1968). 31 from the model employed by Gross, Mason, and McEachern'' in their study of the school superintendency role. Her "English. Teacher Role Inventory" consisted of ninety-six items related to six dimensions of the teacher role. inventory contained sixteen items per category. This Responses were solicited by means of a five-step scale, ranging from a positive position of "absolutely must" to a negative position of "absolutely must not." divided into three parts: This instrument was Part I described behaviors of the high school English teacher; Part II described beliefs or values of the high school English teacher; and Part III described expectations of duties, functions, and working conditions of high school English teachers. The question­ naire was sent to various participants in the Michigan State University Student Teaching Program. She used the analysis of variance to determine the degree of difference in re­ sponses 6f supervisory teachers and students. Her procedures were closely akin to this study of intern consultant role expectations. Garland teachers. 31 32 32 investigated role expectations for student He used the framework of role theory developed by Gross, Mason, and McEachern, op cit. Colden B. Garland, "An Exploration of Role Expecta­ tions for Student Teachers: Views of Prospective Student Teachers, and College Supervisors" (unpublished doctoral dissertation, Rochester, New York: University of Rochester, 196*0. Parsons and Shils, 33 Mason, and McEachern. with adaptations advanced by Gross, 3il In accordance with this framework, role expectations were defined in terms of behaviors ex­ pected of position incumbents rather than observed behaviors. He developed a role expectation instrument consisting of seventy-six items designating behaviors which could be expected of student teachers. Respondents Indicated their expectations on a four-step scale: -absolutely must, pre­ ferably should, preferably should not, absolutely must not. Chi-square values were obtained to test for differences in expectations among prospective student teachers, cooperating teachers, and college supervisors. He recommended the framework of role theory adapted to his study be employed in further examination of the interacting positions involved in student teaching situations. 35 Fleming explored the role expectations of elementary school student teachers and supervising teachers on four dimensions of communications and the interrelationships among the communication dimensions. He developed two instruments for his study; one measured the role expectations for the 33 Talcott Parsons and Edward A. Shils, editors, Toward A General Theory of Action (Cambridge, Mass.: Harvard University Press, 1951)• 3li Gross, Mason, and McEachern, op. c it . 3C James S. Fleming, "An Investigation of Role Expecta­ tions and the Communication Process Between Elementary School Student Teachers and their Supervising Teachers" (unpublished doctoral dissertation, Ann Arbor: The University of Michigan, 1968). 32 student teacher-supervising teacher relationship and the other measured the quantity (frequency) of communication, quality of communication, and concerns related to the communication process. Relationships among the various scores obtained were provided in the form of Pearson productmoment correlation coefficients. Differences between means of student teacher and supervising teacher groups were evaluated by analysis of variance procedures. He found that student teachers consistently expressed a desire for more frequent communication. Frequency of oral comments by supervising teachers was found to be significantly related (at the .01 level) in a positive direction to all qualitative aspects of communication. Results indicated a somewhat less effective Job of communicating was accomplished by those supervising teachers who were older, had taught elementary school longer, and had previously supervised more student teachers. Kaplan*5 in a study of the role of the college super­ visor of student teaching at the elementary level also defined role expectations in terms of behavior expected of position incumbents rather than observed behaviors. He developed a role expectation instrument which included forty items. The Leonard Kaplan, "An Investigation of the Role Expectations for College Supervisors of Student Teaching as Viewed by Student Teachers, Supervising Teachers, and College Supervisors" (unpublished doctoral dissertation, Rochester, New York: University of Rochester, 1966). 33 items designated behaviors expected of college supervisors. He also used a four-point scale which ranged from "absolutely must" to "absolutely should not." was used in analyzing the data. The Chi-square procedure His findings Indicated that the major factors which student teachers, supervising teachers, and college supervisors view as contributing to lack of agreement were different perceptions of the role of the college supervisor in evaluation and in acting as a resource consultant. Doyle 37 studied role expectations for elementary teachers as viewed by administrators, school board members, .parents, and teachers in three school communities. He developed a check list of behaviors and used an oral inter­ view. He found that teachers saw themselves in greatest harmony with administrators than either school board members or parents in relationship to role expectations. He con­ cluded that teachers had a much narrower set of expectations of their task than did administrators, board members, or parents. Hoffman 38 designed a study to distinguish between the role of elementary special area teachers and consultants. 37 Louis A. Doyle, "A Study of the Expectations Which Elementary Teachers, School Administrators, Board Members, and Parents Have of the Elementary Teachers Role" (unpub­ lished doctoral dissertation, East Lansing, Michigan: Michigan State University, 1956). 38 James D. Hoffman, "A Study of the Perceptions that Administrators, Elementary Teachers, Consultants and Special Area Teachers have of the Elementary Special Area Teacher and Consultant Role" (unpublished doctoral dissertation, East Lansing, Michigan: Michigan State University, 1959)* 34 He developed a questionnaire from open-ended interviews with teachers, administrators, special area teachers, and consul­ tants. The items were superimposed on the questionnaire form and scale used by Gross, Mason, and McEachern from their analysis of the school superintendency role. After analyzing the difference in the means of the four respondent groups by P Tests, he concluded that teachers who had daily, contact with both roles saw little difference between them. Getzels and Guba •30 examined the perception of roles and role conflict in teaching situations. They focused on ex­ pectations attached to the teacher role, the degree of conflict among these expectations, and the effect of con­ flict upon the teacher. They used extensive oral interviews with forty-one teachers as a basis for constructing a ques­ tionnaire. The analysis of responses from one hundred sixty-six teachers from six school systems indicated three different patterns of role conflict. 40 Twyman and Biddle reported their extensive study of role conflict of public school teachers. Their purpose was an attempt to determine operationally the extent of dis­ agreement among four social positions on what teachers do, 30 Jacob W. Getzels and Edwin G. Getzels, "The Structure of Role and Role Conflict in the Teaching Situation," Journal of Educational Sociology. Vol. 29 (September, 1955 ), pi 30-40. 40 J. Paschal Twyman and Bruce J. Biddle, "Role Con­ flict of Public School Teachers," The Journal of Psychology, Vol. 55 (January, 1963), p. 183- 9 8 . 35 should do, and should not do. They obtained perceptions from teachers, parents, pupils, and school officials. The results indicated a number of significant disparities exist among respondent groups concerning teacher role cognitions. Internships in Teacher Education The examination of research concerning teacher intern­ ship programs with specific emphasis upon intern teacher and intern supervisor or consultant perceptions of the role of the Intern consultant reveals few studies paralleling the emphasis of this particular Investigation. Although the literature is especially fruitful in program descriptions and the theoretical bases of programs, it is largely devoid of actual research findings. Central Association of Dyer, charged by the North Accreditation for Schools and Colleges with conducting a study of teacher Internship programs in member institutions, concluded: Reports about Internships are numerous. Pew studies appear, however, documenting the extent, nature, problems, and potentialities of Intern­ ship programs. iii Prudence Dyer, "Teaching Internship Programs in N.C.A. Institutions," The North Central Association Quar­ terly . Vol. 43, No. 2 (Pall, 196b) , p. 229. 36 Shaplin iip and Gardner iio reported that the history of the teaching internship in the United States dates back to 1895 at Brown University in Rhode Island. In the Brown program graduates in teacher education were placed in the Providence Public Schools for a full school year as a halftime, salaried teachers under the close supervision of a professor of education and a supervising teacher. Students were required to complete a specified amount of course work at the university during their internship. In 1967 a survey of member Institutions of the American Association of Colleges for Teacher Education (AACTE) revealed the existence of fifty-one internship programs. This survey also Indicated that nearly 3»000 undergraduate and graduate students were involved nationwide in teaching internship programs. The Association for Student Teaching, in an attempt to embrace the concept of Internship broadly enough to be inclu­ sive, yet to define its boundaries so that the term conveys the essential components, in 1968 adopted the following definition: 42 Judson Shaplin, "A Comparison of Internship Pro­ grams,” 1963 N.C.T.E.P.S. Columbus Conference Report (Washington, D.C.: National Education Association, 1968), P. 321. 43 Harrison Gardner, "The Teacher Education Internship in Historical Perspective” in Internships in Teacher Educa­ tion . o p . c i t .» p. 1. 44 Ibid., p. 168. 37 The internship in teacher education is an integ­ ral part of the professional preparation of the teacher candidate, teacher certification, having been preceded by observation-participation and student teaching experiences in a school classroom; is planned and coordinated by the teacher educa­ tion institution in cooperation with one or more schools during which the intern is (1) contracted by and paid by a local school board, (2) assigned a designated number of classes to teach for a year, (3) enrolled in credit courses that parallel his professional experiences and (4) supervised by both a highly competent teacher or administrator who is employed by the cooperating school and has been assigned released time to devote to this activity and a college supervisor who makes periodic observations and works closely with the school supervisor.45 This definition served as the framework within which this study operated. Bishop conducted a study to determine the purposes of internship as perceived by teacher education specialists and cooperating public school personnel. He found considerable agreement between these groups regarding the purposes of internship. ments: Agreement centered on the following common ele­ (1) independence or autonomy, (2) gradual induction, (3) exposure to reality, socializing agent, (4) knowledge of the school as a (5) the integration of theory and prac­ tice, and (6) understanding of child growth and development. Differences were found to exist, however, where public school personnel rated purposes related to classroom climate 45 46 Ibid., p . xi . Clifford L. Bishop, "The Purposes of Teacher Intern­ ship," Educational Administration and Supervision, Vol. 34 (January, 194b), pp. 35-43. 38 and classroom management higher than college personnel. The implication he drew from this study applied to the super­ vision, guidance, and support of intern teachers. He sug­ gested that the intern supervisor role is far more encompassing than the supervising teacher role. £17 McGlothlin reported that to be of high quality, an internship must meet the following criteria: 1. 2. 3. 4. 5. It challenges the capacity of the intern. It does not exceed the capacity of the Intern. It actively Involves the Intern. It provides competent supervision. It helps the intern to analyze and evaluate his experience. He described and contrasted the Internship concept as applied to the various professions of architecture, medicine, psy­ chology, social work, and teacher education. 48 More recently, Stone was charged with accounting for and synthesizing the research findings of $70 million dollars expended by the Ford Foundation over a period of fifteen years of "Breakthrough" funding for teacher educa­ tion. He Indicated that Michigan State University reported in its statement of purpose that the Elementary Intern Pro­ gram was designed, to achieve greater commitment and cooperation from public schools in the preparation of teachers, to integrate theory and practice In 47 William J. McGlothlin, Patterns of Professional Education (New York: G. P. P u tnam’s Sons, 19*30), p. 97-99 • 48 James C. Stone, "Breakthrough In Teacher Education" (San Francisco, California: Jossye-Bass Inc., Publishers, 1968). 39 the professional training sequence, to estab­ lish internship as a part of a teacher education program, and to give greater and more effective help to beginning teachers . ^ Michigan State University also cited the value of Joint efforts of public schools and a university in preparing teachers. The Director of the School of Teacher Education, Leland W. Dean, said: Public school people have a fine contribution to make in teacher preparation. Extended labor­ atory experiences, the development of an intern­ ship, and more extensive help for beginning teachers are necessary for improvement in teacher education. Probably our progr ams’ major contri­ bution has been its development of a new dimension in teacher preparation, the intern consultant position.50 Stone concluded that supervision of intern teachers often fell short of a true professional overview. The ideal balance of supervising responsibilities between teacher training institutions and school districts escaped many programs. He suggested that this critical element deserves much closer attention. And finally, he said, The really outstanding programs— Claremont, Cornell, Hawaii, North Carolina, Northwestern, Michigan State, Reed, Stanford, Webster, and Wisconsin, to mention the top ten in this connection— stood out in part because of their notable success in relating theory and practice.51 Bush and Allen 52 reviewed the advantages of the intern­ ship experience at Stanford University. 2<9Ibld., p. 46-47. They cited: 5°Ibl d . , p. 47. 51Ibid., p. 168 ■^Robert N. Bush and Dwight Allen, "The Winds of Free­ dom," The High School J o u r n a l , Vol. 43 (February, i9 60), pp. 168-173. 40 (1) greater time devoted to teaching and less to theoretical course work in education, (2) continuous realistic experience, (3) gradual induction, i.e., teaching assistant, observer, intern teacher, (4) change from prescribed courses to con­ tinuing professional seminar directly related to classroom practice, and (5) guidance and supervision Jointly undertaken by public school and university personnel. They also des­ cribe the application of micro-teaching, video taping, and other educational technology to the process of supervision. Haberman in a comparative study of intern teachers and regular first-year teachers found a significant differ­ ence in favor of interns. He found that on the Ryans' Observational Record— Pattern Y: responsible, systematic, businesslike vs. evading, unplanned, slipshod— interns were superior to graduates of a regular program at the .01 level of confidence. He suggested that this resulted from interns having had broader work experience, broader life experiences, and better motivation. He attributed some of this differ­ ence to the self-selection process of the internship program at the University of Wisconsin— Milwaukee. 54 In another study, Haberman reported behaviors distin­ guishing successful from unsuccessful intern teachers. 53 He Martin Haberman, "A Comparison of Interns with Regu­ lar First-Year Teachers," Journal of Educational Research, Vol. 59, No. 2, (October, 1965)• 54 Martin Haberman, "The Teaching Behavior of Successful Interns," Journal of Teacher Education, Vol. 16, No. 2 (June, 1965), pp. 215-220. and a colleague observed extensively In the classrooms of 28 beginning Intern teachers. He summarized their perceptions which indicated that (1) grade point average and other aca­ demic measures, (2) communication skills, and (3) attitudes towards children did not discriminate between successful and unsuccessful interns. The five characteristics which did seem to discriminate between successful and unsuccessful interns included: pupil, (1) a belief in the potential of each (2) enthusiasm for subject matter, organize, (3) ability to (4) ability to set appropriate standards and expectations for various pupils, and (5) willingness to listen to pupils. Although this study was admittedly not a sound piece of research, it was useful for the purpose of hypothesis generation. An extensive review of the literature comparing intern­ ship programs with the more traditional student teaching program was conducted by Halliwell. 55 He analyzed the major research findings and reports of experimental teacher educa­ tion programs based on the internship concept and concluded that, "there is a genuine need for adequately designed, longitudinal, experimental studies of the efficacy of ex­ perimental programs for elementary teachers." 55 This position Joseph W. Halliwell, "A Review of the Research Com­ paring the Teaching Effectiveness of Elementary School Teachers Compared in Intensive Teacher-Training Programs and in Regular Undergraduate Programs," Journal of Teacher Education. Vol. 15, No. 2 (June, 1966), pp. 184-192. 42 of needed research studies of internship programs was sup56 59 58 ported by Bruner, Corrigan and Garland, Chaltas, et a l ., and Rex. 59 The Elementary Intern Program The Elementary Intern Program (E.I.P.) was an under­ graduate elementary teacher preparation program sponsored by cooperating community colleges, cooperating public school districts and Michigan State University. Upon completion of four years and the equivalent of three five-week summer terms the successful teacher candidate was awarded a Michigan Ele­ mentary Provisional Teaching Certificate by the State Board of Education and a baccalaureate degree from Michigan State University. The essential characteristics of the program were pre­ sented in Illustration 2.1. The student completed the first two years at any accredited community college or university. The course work consisted of study in the liberal arts and general education areas. The student who met the entrance requirements could transfer up to 96 term credits which 56 Bruner, o p . cit., p. 15. 57 Dean C. Corrigan and Colden B. Garland, "Role Analysis Applied to Internship Processes," in Internships in Teacher Education. o p . cit. , p. 97* 58 Chaltas, Kain, and Southworth, o p . cit. , p. 89. 59 Roland G. Rex, "A Theory of the Internship in Pro­ fessional Training" (unpublished doctoral dissertation, East Lansing, Michigan: Michigan State University, 1964), P. 117. 43 applied toward a program of study at Michigan State Univer­ sity. The student attended a ten-week summer session at Michigan State University following the completion of the sophomore year. An additional 15 term credits in the liberal arts were earned during this period. The third calendar year, beginning in the fall, con­ sisted of one additional term on the Michigan State Univer­ sity campus with continued study in the liberal arts. The student spent two terms in residence at an off-campus teacher education center. the ten E.I.P. (See map in Appendix A for the location of centers.) He studied elementary school teach­ ing methods which were Integrated with his student teaching experience. The course work was taught by Michigan State University faculty assigned to the center. An outstanding classroom teacher and Michigan State University resident staff member supervised the student teaching experience. Observation and participation experiences in elementary classrooms occurred in the cooperating public school districts. The student earned 48 term credits during this period. Following the third calendar year he returned to the Michigan State University campus for the last five-week summer term. During this period, ten term credits were earned in the liberal arts. The student had generally completed one 38 term credit major and two 23 term credit minors at this point in the program. ILLUSTRATION 2.1.— A Conceptual Scheme of the Michigan State University Elementary Intern Program. Year Third Year 1st Year Where Time Area Special Courses 2nd Year Summer School Fall Term Fourth Year Winter Te r m Spring Term Summer School School Year Off-Campus EIP Center EIP Center Area Schools MSU Campus EIP Area Classroom in Cooperating School District Cooperating Community College (or other) MSU Campus MSU Campus Four Semesters 10 week Term 10 week Te rm 10 week Term 10 week Term 5 week Term School Year Academic Areas Maj ors & Minors Maj ors 8c Minors Teaching Methods Courses Pre-Intern Teaching (Student Teaching) Maj ors 8c Minors Internship (with consultant) assistance) Basic Courses (Liberal Arts) Electives (Liberal Arts) Electives (Liberal Arts) ED 321A ED 321B ED 321C Reading, Math, Science, Lang., Arts, Social Studies ED 200 Individual & the School ED 1482 Ind. Study ED 446 Pre-Intern Teaching El e c ­ tives (Liberal Arts) ED 450 School & Society Term Credits 115 i»5 (Plus P.E.) Cumulative Credits 45 90 15 lh 18 16 10 105 119 137 153 163 A.B. Degree Michigan Certification 180 Term Credits (Plus P.E.) 1 Major (36 T e r m Credits) 2 Minors (23 Te r m Credits each) ED 446 Intern Teaching 17 180 (Plus PE) 45 The fourth calendar year was devoted to Intern teaching. Typically, the student had completed over 90 percent of his course work and had completed his major and minor areas of concentrated study in the liberal arts. In addition, the student had completed most of the required professional education courses, including student teaching. He had already had six months of experience In various elementary classrooms under the supervision of one or more highly qual­ ified teachers. The student received a special teaching certificate from the State Board of Education, and was under contract with a public school district to teach in an ele­ mentary, special education (with appropriate training), or middle school classroom. During the 1968-69 school year the average stipend paid an intern teacher was approximately $4,300. The Intern teacher was supervised by an elementary Intern consultant, the resident university faculty member, and the school principal during the school year. The Intern consultant, typically, was Involved in the interns1 class­ room at least one day per week. The school principal and university faculty member were involved less frequently. The intern teacher was charged with the responsibility for the operation of the classroom under the guidance of the intern consultant. The Intern attended one evening class per week studying the sociological foundations of education. A frequent practice in some E.I.P. centers included one 46 meeting per month of* an informal seminar devoted to practical teaching problems. Research Studies Related to the Elementary Intern Program To date, four research studies related to E.I.P. have been reported. The studies are presented below in summary fashion, Conley^0 identified and described the composite char­ acteristics of females who chose E.I.P. and those who selected the student teaching program at Michigan State University. His sample included 178 females enrolled in E.I.P. and 170 females enrolled in the student teaching program. The Minnesota Teacher Attitude Inventory was used to measure attitudes; the Edwards Personal Preference Schedule was used to examine manifest needs; and the Teacher Education Inven­ tory^1 was administered to examine biographical data from each student. The instruments were administered during the first two weeks of the student's professional course work. The statistical procedures used in the study were the t-test ^ J a m e s L. Conley, "A Study of Selected Biographical Data, Personality Characteristics and Attitudes of Elementary Intern Program Students at Michigan State University" (unpub­ lished doctoral dissertation, East Lansing, Michigan: Michi­ gan State University, 1968), pp. 1-121. ^ T h e Teacher Education Inventory was a questionnaire designed by the E.I.P. faculty at Michigan State University to elicit biographical information, i.e., sex, age, type of community residence, father's education, etc. i»7 for examining the M.T.A.I. and E.P.P.S. results, and the Chi-square analysis for examining the results of the Teacher Education Inventory. The findings of this study indicated that: 1. Initial attitudes toward children and teaching as measured by the M.T.A.I. were higher for female student teaching program students than for female E.I.P. 2. students, female E.I.P. students Indicated higher needs than female student teaching program students in the areas of deference, autonomy, abasement, and endurance but lower needs of succorance and heterosexuality as measured by E.P.P.S. 3. on the basis of the Teacher Education Inventory, E.I.P. female students were different from female student teaching program students in the follow­ ing ways : a) E.I.P. females were older (23.7 vs. 21.7 years of age), b) E.I.P. females were more likely to have been married, c) 70 percent of E.I.P. females spent one year at a two year college as opposed to 17 percent of student teaching program female students, d) the education level for both the mother and father of E.I.P. students was lower, e) family Income was lower for E.I.P. female students, f) E.I.P. female students came from a larger family , g) E.I.P. female students indicated they decided to become a teacher earlier than female student teaching students, h) E.I.P. female students indicated they were more likely to derive satisfaction from teaching than student teaching students. i) E.I.P. female students indicated they were less likely to doubt the "rightness" of their decision to become a teacher, J) E.I.P. female students were less "risk- taking" than female student teaching students, k) E.I.P. students tended to view teaching as a profession while student teaching students viewed teaching as a profession but one which is not highly specialized, 1) E.I.P. students viewed the opportunity of controlling their own marketing conditions less important than female student teach­ ing students. 49 Z Tn Houston reported a study of the teaching status of graduates of the Elementary Intern Program. A survey was conducted In the spring of 1967 to determine the proportion of E.I.P. graduates still involved in teaching. The first groups of students to complete the E.I.P. graduated in 1963* The 196 3 and 1964 E.I.P. graduates completed a two-year teaching internship. one year. All classes since 1964 Interned only This resulted from a program change reducing the time period of the internship experience. In the first seven years of E.I.P., 416 students were graduated. were available on 403 graduates. Data The findings of the study indicated that: 1. a mean of 93 percent of E.I.P. graduates were teaching two to six years after graduation. 2. of the 93 percent, 80 percent were teaching In Michigan. 3. of the 80 percent teaching in Michigan, 57 percent were teaching In the same school dis­ trict where they had interned. It was concluded that graduates of the E.I.P. had longer teaching tenure than the national average teaching tenure. (90 percent vs. 50 percent.) by Stone 6 "3 Similar results were reported in a six-year follow up study of the graduate Cp W. Robert Houston, "A Study of the Teaching Status of Graduates of the Elementary Intern Program at Michigan State University", (Mimeographed) East Lansing, Michigan: College of Education, Michigan State University, May, 1967, pp. 1-4. 'Stone, o p . c i t ., p. 158. 50 internship program of the University of California at Berkeley. Taken as a group, the "staying power" of the graduates of teacher internship programs is impressive. 64 Goeldi sought to examine (1) the multi-role perform­ ance of the intern consultant position, (2) the strengths and weaknesses of E.I.P., and (3) biographical data collected on intern consultants in a study conducted in 1967* The subjects in the study included 24 intern consultants and 84 intern teachers. The role performance of intern consultant as perceived by both interns and consultants was measured by an instrument developed for the study. This instrument, the Role Evaluation Check List, was an adaptation of a self65 evaluation instrument developed by Fitch for intern con­ sultants. The focus of the instrument was upon five basic role common to all intern consultants and included: 1. Personal characteristics— the consultant as a person. 2. Intern-Consultant Relations— the consultant as a participant in inter-personal dynamics with the intern teacher. 3. Instructional and Guidance Skills— the con­ sultant as a professional teaching model. 64 John T. Goeldi, "A Study Contributing to the Pro­ fessionalization of the Role of the Intern Consultant" (unpublished doctoral dissertation, East Lansing, Michigan: Michigan State University, 1967)* pp. 1-159. 65 Thomas C. Fitch, "Intern Consultant Self-Evaluation Form" (Van Dyke, Michigan: Macomb Teacher Education Cen­ ter, Michigan State University, 1966). (Mimeographed.) 51 4. General School Services— the consultant as a public school resource person. 5. Professional Growth— the consultant as a practicing professional educator. Each of the above categories was sampled by ten representa­ tive items. Responses were analyzed by the Spearman Rank Coefficient of Correlation. Significant positive correla­ tions (.01 level) between interns' and consultants' percep­ tion of consultant role performance were reported. No statistical differences were found between male and female intern consultants; however, female consultants perceived themselves higher in areas associated with human relations while males perceived themselves higher in instructional skills and general school services. In addition, Goeldi found intern teachers perceived themselves most "responsible to" (1) public school personnel, (2) the University center director, and (3) the intern con­ sultant, in that order. Intern teachers perceived them­ selves most "responsible for" the elementary school children in their classroom. On the other hand, consultants per­ ceived themselves most "responsible to" (1) the University center director, public school personnel, and (3) the taxpaying public, in that order. Intern consultants perceived themselves as most "responsible for" intern teachers. Interns and consultants were found to be In agreement regarding strengths of E.I.P. They perceived, In rank order; first, actual classroom experience; second, support 52 and guidance of intern consultants; third, blending of pro­ fessional methods of teaching courses with classroom observation and participation; fourth, the convenience and economy of the program due to Its location in their home community. Both cited the weaknesses of the E.I.P. as; first, lack of time for communication between Intern and consultant; second, undefined roles of the Intern teacher and Intern consultant positions within the public school setting; third, a lack of communication between the teacher education and the university campus; fourth, extreme pres­ sure produced in taking course work together with the assignment in the actual classroom; and fifth, lack of adequate evaluation and selection criteria for program personnel. Goeldi reported 81 percent of the intern teachers were female while 19 percent were males. He found 75 percent of the intern consultants were female while 25 percent were males. The first study of the teacher internship program at Michigan State University was undertaken by Dr. Bernard R. Corman, an educational psychologist, and Dr. Ann G. Olmsted, a sociologist. They were charged with directing the eval­ uation unit included in the original program design. Corman and Olmsted contributed in two ways; first, they initiated a five year longitudinal study of the socialization of the elementary school teacher, and secondly, they provided 53 continuous feedback into the operation of the program with evaluations based upon systematic in-depth interviews with students, their instructors and supervisors, and with the project staff. Those excerpts of their observations and conclusions based upon interview methodology and considered pertinent to this study are reported below: 1. The intern consultantship differed in three ways from the helping teacher position; first, the consultant enjoyed University involvement which provided additional autonomy; second, intern consultants were assigned fewer indi­ viduals to supervise; thirdly, consultants visits to intern's classroom were both regular and frequent. 2. The character of the relationship that could be established between intern and consultant was substantially different and the helping teacher model failed to provide clear guide­ lines for those asked to assume the consultants hip. 3. The original general expectations, of both University and public school personnel, for the intern consultant position included (1) aid for interns in analyzing their classroom situation, (2) fusing theory with practice by relating previous formal study to day-to-day teaching practices, and (3) maintenance of high quality standards within the intern's classroom. M. Consultants were not to infringe upon the building principal's authority by assuming any direct role in the evaluation of the intern. 5. Both the University and the school cast the consultant as an "expert," but gave her only the power of persuasion to enforce her "expertness." 54 6. A working relationship had to be established with the intern and with her pupils which would permit the consultant to be a "second teacher in the classroom" without diminishing the authority of the intern. 7. The initial response of the consultants was to back away from establishing a "supervisory" relationship in the usual sense, and to seek to develop a non-directive colleague relation­ ship with their interns. 8. A period of watchful waiting appeared to be a necessary prerequisite to the establishment of a "successful" consultant-intern teacher rela­ tionship, if success meant a relationship where the consultant’s suggestions were acted upon by the intern. 9. The more successful consultants appeared to be those who were willing to "get their hands dirty;" to illustrate their suggestions by demonstration. 10. The real test came in being able to shift from one intern to another in both the pacing and the substance of the guidance offered. 11. The consultant had to be perceptive enough to determine the kind of teacher the intern wished to become and wise enough to assist the intern achieve that goal even though it might conflict with what the consultant herself valued. 12. Consultants hoped to be sympathetic listeners to guard against the isolation which occurs when a beginning teacher finds herself in a school situation where discussion of teaching is not encouraged. 13. Consultants hoped by their consistent avail­ ability and by encouraging dialog they could help interns make the basis of their teaching practice more explicit.«6 And finally, Corman and Olmsted wrote in their conclusions and summarizing statements: ^ C o r m a n and Olmsted, o p . c i t . , pp. 62-75- 55 If our assertion is correct, then the intern­ ship, with its provision for guidance during the students' transformation Into a teacher, Is of critical importance. A readily accessible, nonthreatening, and knowledgeable consultant may importantly influence the beginners' assessment of her first experimental tries, and her under­ standing and response to the constraints on her practice. Summary In summary, the review of literature on the super­ vision of beginning teachers revealed; (1) a discrepancy between supervisory theory and practice, (2) that percep­ tive observers, whatever their other differences, agreed on the need for a supervised practice for beginning teachers, (3) studies of supervisory practice with beginning teachers are needed, and (4) a theoretical framework for the instrument developed In this study. In addition, research studies that were similar in purpose and methodology to this Investigation were reported. Role theory Is a useful scientific tool for analysis of the supervisor role in real life field settings. The proliferation of new supervisory positions In Teacher Edu­ cation highlights the need for role clarity. Research reports based on the concept of role indicate that: (1) role behavior of Individuals result from and are modified by expectations, and (2) a basic assumption of role theory, and of this study, is that these expectations and perceptions 67 Corman and Olmsted, o p . cit. , p. 93. 56 can be measured. This review revealed that many investi­ gations of role perception used questionnaires (which scaled responses to items) to collected data. Various statistical analyses were performed on the data thus collected. The literature concerning internship in teacher edu­ cation revealed an abundance of descriptive accounts. However, this literature was largely unsupported by sub­ stantive research studies. Many writers emphasized the need for research in this area. Finally, four research studies related to the Elemen­ tary Intern Program have been reported to date and were reviewed in this chapter. Personal characteristics of intern teachers provided the focus for two studies, intern teaching graduates on-the-job longivity was the subject of one investigation, and an analytic-descriptive account of the elementary intern consultant was the focus of the last study. CHAPTER III PROCEDURES UTILIZED IN THE STUDY Introduction This chapter has seven parts. The primary purpose was to describe the research design of the study. parts Included are: Other a description of the Intern teacher and Intern consultant sample, the construction of the reactionnaire— the Intern Consultant Inventory, a descrip­ tion of the data-collection process, the statement of specific hypotheses developed, and the statistical proced­ ures employed, including the rationale for selecting these procedures and the level of significance used. The Study Sample Intern teachers and Intern consultants In E.I.P. were selected as the subjects of this study. Intern teachers were selected because they (1) were directly affected by intern consultant role through intensive professional con­ tact with the intern consultant, (2) were believed to hold expectations for the intern consultant role being investi­ gated, (3) had worked with their consultant for nearly a school year, and (4) were accessible and cooperative as an 57 58 an entire population, due to the E.I.P. faculty interest in this study. Intern consultants were selected as subjects because they (1) were occupants of the role being investigated, (2) were believed to hold expectations concerning the conduct of their role, (3) had held the consultant position for a school year or more, and (4) were accessible and cooperative as an entire population due to the E.I.P. faculty interest in this study. The intern teacher subjects represented nearly the entire population of intern teachers involved in the Ele­ mentary Intern Program, Spring Term, 1969* Four individual intern teachers did not participate because they did not wish to cooperate in this investigation. The intern con­ sultant subjects represented the entire population of in­ tern consultants involved in the Elementary Intern Program for 1969. All intern consultants cooperated and participated in this study. The subjects of this study, while closely approximating the specific population of interest, were treated as a sam­ ple. It was assumed that there may exist a population in teacher education of elementary intern teachers and elemen­ tary intern supervisors or consultants from which these subjects could be considered to be a representative sample. If this assumption is accepted, then (1) the results of this study could be generalized to the specific Michigan State 59 University Elementary Intern Program population of interest, and (2) where appropriate, the results could be generalized to encompass other comparable programs, of which E.I.P. may be representative, in the larger universe of teacher educa­ tion . The additional advantage of this sample representative­ ness assumption Is that It allows the incorporation of the most powerful parametric statistical technique in the design and data analysis of this study. Greater precision is gained in testing the hypotheses of interest and more infor­ mation Is generated. Specifically, precision is gained by decreasing the standard error of the mean and increasing the power of the test against whatever hypothesis Is true. More information is generated by the most appropriate design be cause of the possibility of (1) looking at interactions which may exist among variables of interest, and (2) asking more questions of the data. Intern Teachers During the 1968-69 school year, 191 interns were teach­ ing In elementary school classrooms and enrolled in E.I.P. Of this number, 187 participated In this study. This represented responses from more than 98 percent of the intern population. Of this number, 155 interns or 83 percent were females while 32 interns or 17 percent were males. 60 Corman and Olmsted1 reported in 1964 that 23 percent of E.I.P. Interns were male. There appeared to be some stab­ ility over time in percentage of males selecting E.I.P. Data were gathered at the beginning of the Pall Term, 1967 on the 1968-69 class involved in E.I.P. These data described selected personal characteristics of Interns at entrance Into the program. Of the 214 interns who responded to the original, 1967 demographic questionnaire, 185 (or 85 percent)completed the program twenty-one months later. Selected personal characteristics describing 185 (or 99 percent) of the 187 subjects of this study are reported below. Two intern teachers, who participated as subjects in this study, were not included in this description because they entered the program after these data were collected. Table 3.1 includes a description of the age distribu­ tion of intern subjects. Approximately 77 percent of the intern population fell In the twenty-one to twenty-five age range near the completion of their Internship year. The average age of all interns Included in this study was twentyfour and one-half years. In Table 3-2, the Intern sample is described by grade point average at entrance to the program. All of the In­ terns, Including the six in the 1.50 to 1.99 range, com­ pleted the program. Michigan State University requires a 2.00 accumulative grade point average by a student to qualify 1Corman and Olmsted, o p . c l t . , p. 22. TABLE 3.1. — Ag e D i s t r i b u t i o n * of th e I n t e r n P o p u l a t i o n , 1969. Age 21-25 26-30 31-35 Groups 36-40 41-45 46-50 Over 50 14 7.5 6 3 4 2 1 Subjects Number Percent 136 77 8 H 11 6 .5 *Corrected by 24 months TABLE 3.2. — Distribution of Intern Population by Grade Point Average at Entrance to the Elementary Intern Program, 1967. Grade Point Average Range— 4.0 Scale Subjects Number Percent 1.501.99 2.002.49 2.50 2.99 11 6 67 39 55 32 3.003- ^9 33 19 3.504.00 6 4 62 for student teaching. It is assumed that these six students received very high grades for the methods of teaching courses to raise their average to qualify for student teaching or special arrangements were made to excuse them from this college requirement. The bulk of the students, 71 percent, fell within the 2.00 to2.99 grade point average range. average for all interns was 2.59* The In Table 3*3 the distribution of interns by colleges attended is shown. About 48 percent of the Interns had attended another college for one or two y e a r s . About 26 percent attended another college for more than two years. Together, 74 percent, of the intern subjects attended another college for more than one year. Annual family income distribution is shown in Table 3.4. About 35 percent of interns in this study came from families where incomes ranged from $10,000 to $15,000. Most interns or about 74 percent came from families where incomes ranged from $5,000 to $15,000. Table 3*5 community where includes information on type of pre-college interns resided. The intern population represented a broad range and rather evenly distributed sample of each of the types of communities listed. Slightly more than half of the intern subjects came from a metropoli­ tan center with its suburb— and from a large city with its suburb. The largest percentage of Interns In this study, however, came from medium-sized cities. 63 TABLE 3.3. — Distribution of Intern Population by Colleges Attended. Subjects Attended only MSU One Year or less at another college 38 21 9 5 Number Percent 1-2 years at another college More than 2 years at another college 48 26 87 48 TABLE 3-4. — Distribution of Intern Population by Annual Family Income. Family Income Ranges Subjects Number Percent Less than $5,000 $5,000 to $7,499 $7,500 to $9,999 20 12 35 21.5 29 17.5 $10,000 to $15,000 60 35 More than $15,000 24 14 64 TABLE 3.5*— Distribution of Interns by Pre-College Community Type . Type of Community Metropolitan Center (City of more than 500,000) Suburban Community close to Metropoli­ tan Center City (100,000-500,000) Suburban Community adjacent to city Medium-sized City (10,000-100,000) Small Town (2,500-10,000) Rural Community (2,500 or less) or on Farm Number Percent 28 15 29 34 10 41 26 16 19 5 22 14 17 9 A description of the marital status of intern teachers In this study is presented on Table 3.6. The most dramatic change in marital status occurred within the single to married categories. The highest percentage of students upon entry and exit were in the single status. During the course of the program nearly 21 percent of the single subjects married. Presumably those married remained married, while two of those separated at entry were divorced by exit. Two pairs of interns were married to each other while partici­ pating in E.I.P. while one pair reported they were married to each other at entry. Table 3*7 contains a distribution of the number of children for married interns in this study. All of the 41 married students at entry to E.I.P. reported having one or more children. Nearly four-fifths had three or more children. 65 TABLE 3.6.— Marital Status Distribution of Students Entering and Near Exit of the Elementary Intern Program, 1969. Subjects Marital Status Single Married Separated Divorced Widowed At Entry 1967 Near Exit 1969 Number Percent Number Percent 135 ill 3 2 1 74 22 2.5 1 .5 101 80 1 4 1 54 42.8 .5 2.2 .5 TABLE 3.7. — Distribution of Children for Married Intern Teachers Entering the Elementary Intern Program, 1967. Number of Children One Two Three Pour Five Six Married Interns Response 7 7 14 3 7 3 66 Ninety-five percent of the interns followed the regular elementary education curriculum at Michigan State University while 5 percent selected an area of special education. The regular curriculum prepares classroom teachers for grades kindergarten through eighth. Special education areas were deaf and hard of hearing, blind, mentally retarded-trainable, and mentally retarded-educable. The Composite Intern Teacher The composite intern teacher in the Michigan State University Elementary Intern Program was likely to: 1. be a female; 2. be 2*4.5 years of age; 3. carry a 2.59 all-university grade point average; *4. have attended a community college for a year or m ore; 5. come from a family with an annual Income of approximately $10,000; 6. have spent her pre-college years in a mediumsize city of from 10,000 to 100,000 population; 7. have been single when she entered the program and single at exit; and 8. have followed the regular elementary education curriculum (as opposed to special education). This composite description combines and summarizes the aver­ ages computed for the 187 intern teachers who participated in this study. 67 Intern Consultants All of the forty intern consultants assigned to super­ vise intern teachers during the 1968-69 school year partici­ pated in this study. Of this number, 35 consultants or 87 percent were female, while 5 or 13 percent were male. Table 3*8 includes a description of the age distribution of intern consultants. Approximately 25 percent were between thirty-four to thirty-eight years of age. Over half were between thirty-four and forty-eight years old, while the mean age for all consultants was forty-three years. A description of the Marital Status of intern consul­ tants in this study is presented on Table 3.9. Approximately 72 percent of the intern consultants were married, 15 percent were single, and approximately 12 percent were divorced or widowed. In Table 3.10, the intern consultant sample is des­ cribed by earned college degrees. All intern consultants reported having an earned bachelor’s degree and nearly sixty percent of these were Bachelor of Science degrees. Of the forty consultants, thirty reported having earned the master’s degree. This represents 75 percent of all consultants. The Educational Specialist Degree represented the highest level of educational degrees earned and three intern consultants reported having reached this plateau. In addition, 19 intern consultants reported having taken 15 or more college term credits beyond the master's degree and of these 19» the average number of credits earned beyond the M.A. was 40 hours. TABLE 3.8.— Age Distribution of the Intern Consultant Population, 1969* Intern Consultants NumberPercent 28 or less 29-33 34-38 3 7.5 10 25 •■s 0 7.5 39-43 7 17.5 44-48 49-53 54-58 59-63 64-68 6 15 3 7.5 4 10 3 7.5 1 2.5 69 TABLE 3.9*— Marital Status Distribution of Intern Consultants, 1969. Marital Status Intern Consultants Number Percent Single 6 15 Married Separated 29 72.5 Divorced Widowed 3 7.5 --- 2 5 TABLE 3.10.- -Distribution of College Degrees Earned by Intern Consultants, 1969• Intern Consultants Number Percent Bachelor's Degree M a s t e r ’s Degree B.A. B.S. M.A. 17 42.5 23 57.5 30 75 M.A.+15 19 47.5 Educational Specialist's Degree Ed. S. 3 7.5 70 The distribution by rank order of undergraduate and graduate degree awarding institution attended by intern consultants is presented in Table 3.11. Most intern con­ sultants , approximately 52 percent, were awarded either an undergraduate or graduate degree from Michigan State Uni­ versity . TAble 3.11.— Rank Order Distribution of Undergraduate and/or Graduate Degree Awarding Institution Attended by Intern Consultants, 1969* i.e. Subjects Name of Undergraduate and/or Graduate Degree Awarding Institution Michigan State University University of Michigan Western Michigan University Wayne State University Central Michigan University Eastern Michigan University Bob Jones University Illinois State University Marygrove College Northern Michigan University Others* Number 21 12 12 7 5 2 2 2 2 12 Percent 52.5 30 30 17.5 12.5 10 5 5 5 5 30 ^Others include: Albion College, Arkansas State University, Perris State College, Glassboro State College, Northwestern University, Oakland University, Southern Connecticut State College, Syracuse University, Teachers College - Columbia University, University of Detroit, University of Kentucky, University of Pennsylvania. 71 Table 3-12 contains a distribution of the year the master’s degree was earned by the thirty intern consultants. The largest number of consultants earned the ma st e r ’s degree in the five-year period between 1961 through 1965* Of the thirty consultants with earned master’s degrees, 83 percent were earned in the last 13 years, and 56 percent were earned in the last eight years. The three consultants who earned the Educational Specialist Degree reported that one was awarded in 1965 and the other two in 1967. TABLE 3.12.— Distribution of the Year the Master of Arts Degree was Earned by Intern Consultants. Year Degree Awarded I. c. Subjects Number Percent 1940-50 1951-5*5 1 5 4 13 1956-60 8 27 1961-65 1966-69 10 33 7 23 The distribution of the number of years of teaching experience for intern consultants is shown on Table 3.13. The largest number of consultants, eleven, have taught be­ tween six to ten years, while ten reported having taught for twenty-six or more years. One consultant reported over 44 years of teaching, while another reported four years of 72 teaching experience. The average, however, for all consul­ tants was 18 years of experience. TABLE 3-13.— Distribution of the Number of Years of Teaching Experience for Intern Consultants, 1969* Number of Years of Teaching Experience I. c. Subjects Number Percent 5 or less 6-10 11-15 16-20 3 7.5 11 27.5 7 17.5 5 12.5 21-25 26 or more 4 10 10 25 Table 3.1^ contains the distribution of grade level of teaching experience for intern consultants. Over three- quarters of all consultants had experience teaching at the fourth-grade level, while firr.t, third, fourth, and fifth grades represented the greatest concentration of consultant teaching experience. The range of experience ran from pre­ school through college. This tends to suggest that intern consultants taught at a variety of grade levels during their teaching experiences. In Table 3*15 the distribution of the number of differ­ ent school districts In which Intern consultants obtained teaching experience is described. The range of different school districts In which consultants have taught was from TABLE 3 - . — Distribution of the Grade Level of Teaching Experience for Intern Consultants, 1969. Grade Level of Teaching Experience I. C. Subjects K 1 2 3 4 5 6 7 8 9 Number Percent 18 45 26 65 24 60 27 67 -5 31 78 26 65 23 58 19 48 17 43 9 23 10 6 15 11. 7 18 12 6 15 Other* 12 33 *Other includes: Nursery School, Rural K through 12, Special Education, Remedial Reading, Music K through 12, and College Instructor. one to nine, while 67*5 percent of all consultants taught in either three, two, or a single school district. The mean for intern consultants was teaching experience in three different school districts. TABLE 3 - 15*— Distribution of the Number of Different School Districts in which Intern Consultants have Obtained Teaching Experience, 1969* Number of Different School Districts Subjects 1 2 Number Percent 10 25 3 7 17.5 10 25 4 5 4 10 3 7-5 6 7 8 4 10 1 2.5 — — 9 1 2.5 The distribution of the number of years experience as an intern consultant is found on Table 3.16. Most subjects (70 percent) have had one or two years experience as an intern consultant. The mean for intern consultants was two years of experience with the Elementary Intern Program. The Composite Intern Consultant The composite Intern consultant in the Michigan State University Elementary Intern Program was likely to: 1. be a female; 2. be forty-three years of age; 3. be married; 75 TABLE 3-16.— Distribution of Years Experience as an Intern Consultant, 1969. Years Experience as Intern Consultant 3 4 Number Percent 13 32.5 15 37.5 3 7.5 1 2. 5 6 4 O 2 i i 1 U1 Subjects, 4. have earned a Bachelor of Science under­ graduate degree; 5. have earned a Master of Arts degree, and have taken an additional 40 hours credit beyond this degree; 6. have attended undergraduate or graduate school at Michigan State University; 7- have taught in schools for 18 years; 8. have taught first, third, fourth, and fifth grades; 9. have taught in three different school districts; 10. have been a consultant for two years. 7 8 2 5 2 5 This composite description combines and summarizes the average computed for the forty Intern consultants who parti­ cipated in this study. Instrumentation An extensive search of the literature for an appropriate standardized instrument to measure the variables of Interest in this study failed to yield positive results. It was 76 concluded that no suitable measuring device was available. As a result, an Instrument was constructed for the purpose of this study. This Instrument— referred to as the Intern Consultant 2 Inventory — was developed in collaboration with a colleague. Each contributor to the construction of the instrument pre­ viously served as an intern consultant in E.I.P. period of three years. for a First-hand experience as an occupant in the role was helpful in developing items for categories describing Intern consultant tasks and methods of operation. This experience was also helpful in developing both items and categories that were believable, representative, and typical of the Intern consultant role. The Intern Consultant Inventory was developed In two distinct sections: Part A and Part B. Part A of this instrument was designed to measure perceptions of (1) pre­ ference for selected intern consultant tasks and (2) fre­ quency of occurrence of selected intern consultant tasks. Part B of the reactionnaire was designed to measure per­ ceptions of (1) preference for selected intern consultant method of operation and (2) the most likely Intern consultant method of operation. Specifically, Part A consisted of six categories selected on the basis of representativeness of intern 2 A copy of the Instrument U3ed in this study Is found in Appendix B. 77 consultant supervisoral behaviors in working with intern teacher in the intern teacher’s classroom. selected were The categories (1) classroom management techniques, ditions of learning, (2) con­ (3) planning for learning experiences, (4) evaluation of learning, (5) analyzing teaching behavior, and (6) supportive consultant behaviors. In Illustration 3*1, below, the organization and pre­ sentation of Part A of the instrument is shown. Each of the six categories consisted of four behavioral descriptions of intern consultant tasks. Each of the four behavioral tasks was followed by two continua. The first continuum was designed to measure degree of preference for that specific intern consultant behavior. The second continuum was designed to measure frequency of occurrence for that same specific intern consultant behavior. The sequence presented In Illustration 3*1 was repeated four times per category and followed across the six categories for Part A. tration 3 .2 See Illus­ . Part B of the Intern Consultant Inventory presented six problem situations typically encountered by interns during their first year of teaching. The categories for selected intern consultant method of operation were theore­ tical-practical, intern-intern consultant actuator, and directive-non-directive. Respondents estimated their pre­ ference for, and perceived likely, consultant method of operation. This resulted in six continua for each problem 78 ILLUSTRATION 3-1.— The Organization and Presentation of Preference and Frequency Scales Under the Behavioral Description of Consul­ tant Task within a Category on Part A of the Intorn Consultant Inventory. Category: Classroom Management Technique Behavioral Description: The consultant urges the intern to give continued attention to ventilation, lighting, seating, and other physical conditions within the intern's classroom Preference Item; B 1. D Definitely not preferred behavior Frequency Item: 2. A Never Occurs B Occurs yearly Very highly preferred behavior C Occurs monthly D Occurs weekly E Occurs daily 79 ILLUSTRATION 3*2.— A Conceptual Scheme Representing the Data Collected on Part A of the Intern Consul­ tant Inventory. Part A: Preference and Frequency for Selected Intern Consultant Tasks Preference I* C* Category 1 Management Techniques Item Item Item Item 1 2 3 4 Category 2 Conditions of Learning Item Item Item Item 1 2 3 4 Category 3 Planning Learning Experiences Item Item Item Item 1 2 3 4 Category 4 Evaluation of Learning Item Item Item Item Category 5 Analyzing Teaching Behavior Item Item Item Item 1 2 3 4 Category 6 Supportative Behavior Item Item Item Item 1 2 3 4 *1 » Interns; C ■ Consultants Frequency I* c* 1 2 3 4 - 80 situation; one scale of preference for and one scale of per­ ceived actual consultant method of operation for each of the above stated categories (See Illustration 3-3)« For the development of this instrument, nearly one hundred specific behavioral tasks were identified each des­ cribing intern consultant behaviors. The categories of interest evolved from this pool of items. Validity Three independent "panels of experts" were involved in the item, category, and test construction phase of this study. These panels served to help establish the validity of the Instrument. Each individual panel member was by past experience, as a director of an E.I.P. off-campus cen­ ter, knowledgeable about the role of the intern consultant. They were no longer directly involved in the supervision of subjects In this study, interns and consultants. The panels offered unique, relevant, and objective criticisms which tended to strengthen both face and content validity for the Intern Consultant Inventory. After several trials and refinements It was their unanimous judgment that the sample and content within the completed Instrument was repre­ sentative of the role of the Intern consultant. To test appropriateness, objectivity, and sensitivity, a prototype was administered to fifteen former Intern teachers, each a graduate of E.I.P. sidered similar to incumbent interns. This sample was con­ 81 ILLUSTRATION 3.3*— A Conceptual Scheme Representing the Data Collected on Part B of the Intern Consultant Inventory. Part B: Preference for and Perceived Actual Intern Consultant Method of Operation Problem Situation Items 1) Diagnosing learning difficulty and planning specific Individual lessons a) Theoretical/ Practical b) Active Par ticipation c) Directive/ Non-directive 2) Pacing lessons during the school day a) Theoretical/ Practical b) Actiive Par­ ticipation c) Directive/ Non-Directive 3) Difficulty teaching a science concept a) Theoretical/ Practical b) Active Par­ ticipation c) Directive/ Non-Directive 4) Difficulty with clear and concise directions a) Theoretical/ Practical b") Active Par­ ticipation c") Directive/ Non-directive 5) Child retention and Principal misunderstanding a) Theoretical/ Practical b) Active Par­ ticipation c") Directive/ Non-Directive Perceived Actual Preferred 82 Responses from this former intern pre-test group sug­ gested several changes which were Incorporated into the final revision of the instrument. They indicated that the direc­ tions and Items were clear. They felt the descriptions were typical of consultant behaviors and indicated they could easily identify with the specific problem situations. The instrument appeared to be sensitive enough to make discriminations required for the research problem. Varia­ bility of responses by the pilot sample indicated the instru­ ment’s ability to measure differences between individuals. The printed instructions were clear and provided the nec­ essary information needed by the pilot sample to complete the instrument. This group offered stylistic changes which were incorporated into the instructions for the final instru­ ment. Their reactions indicated that the instrument was objective because it did not introduce a pre-disposition or bias toward responding in any particular manner. They con­ curred with the "panel of experts" that the sample content was representative of the intern consultant role. Although the pilot sample did not specifically say so, the instrument appeared to meet the test of appropriateness as they were able to meet the demands imposed by the instrument; i.e., reading vocabulary level, following written instructions, the symbolic thinking required by reacting to the scales. Upon completion of changes resulting from the pilot study, the final draft was printed. For convenience in data process­ ing, an answer sheet accompanied the final Instrument booklet. 83 Reliability of the Instrument The purpose of the Intern Consultant Inventory was to measure differences hypothesized to exist between the popu­ lations of interest in this study; intern teachers and intern consultants. It was assumed that real differences between these subjects were measurable. The most critical criteria for the reliability or the constructed Instrument was the degree to which it accurately and precisely produced "true" measures of the dependent variables of Interest: preference and frequency of occurrence for intern consultant tasks and method of operation. Kerllnger •2 in defining reliability indicates that It consists of several components; they are: 1) stability, dependability, or predictability. Other researchers describe this quality as repeatability. This component refers to the generation of similar results as measured by an instrument upon several administrations over time. 2) accuracy or precision. This component refers to the degree to which the measures obtained from a measuring instrument produce "true" measures of the property measured. It asks simply, are the measurements accurate? The crucial test of the reliability of the instrument was precision or accuracy. As Kerlinger points out: We can Inquire how much error of measurement there Is in a measuring instrument. Recall that there are two general types of variance: systematic and “2 Fred N. Kerllnger, Foundations of Behavioral Research (New York: Holt, Rinehart"^ and Winston, Inc. , 19^7 )» p. 4 30. 84 random. Systematic variance leans in one direction: scores tend to be all positive or all negative, or all high or all low. Error in this case is constant or biased. Random or error variance is self-compen­ sating: scores tend now to lean this way, now that way. Errors of measurement are random errors. They are the sum or product of a number of caus es : the ordinary random or chance elements present in all measures due to unknown causes, temporary or momentary fatigue, fortuitous conditions at a particular time that temporarily affect the object measured or the measuring instrument, fluctuations of memory or mood, and other factors that are temporary and shifting. To the extent that errors of measurement are present in a measuring instrument, to this extent the instru­ ment is unreliable. In other words, reliability can be defined as the relative absence of errors of mea­ surement in a measuring instrument. Reliability is associated, then, with random or chance error.4 It was assumed that If real differences existed between Interns' and consultants' perceptions, and If the instrument performed such that It detected differences when real differ­ ences were hypothesized to have existed, then It might be tentatively concluded that the criteria of precision for the Instrument was met. The difficulty in establishing and reporting a relia­ bility coefficient for the instrument in this study was three-fold. First, the instrument was designed to measure perceptions. If a scientific approach was to be followed in the conduct of this study, then no response was better than any other. There was no right or wrong response. Second, the various split-half statistical procedures nor­ mally employed to estimate reliability were not applicable in this case. These methods assume a correct response. 4Ibid., p. 430. 85 This assumption could not be met because of the reason stated above. Third, the test— re-test procedure may not have yielded the specific information desired from the respondents. A measure of perceptions of the respondent groups near the end of the school year was the objective of this study. Data collected by the Intern Consultant Inventory were analyzed to provide a measure of internal consistence. The measure of internal consistency for this multi-variate instrument are summarized in the form of an inter-item corre­ lational matrix. These data are presented in Appendix D. Design of the Study The two populations of this study were intern teachers and intern consultants. Each intern consultant was assigned to work with one or more interns. The maximum number of interns assigned to any one consultant was seven. The mode average supervisoral ratio of interns to consultants at the time of this study was approximately five to one (5.2 to 1). The supervisoral ratio of interns to consultants by centers are listed on Table 3*17. The experimental unit selected for this study was the intern consultant and the interns assigned to that intern consultant. Each of the forty consultants were paired with the interns they were responsible for supervising. the experimental unit was forty (N = 40). Thus, This unit of analysis was selected because it was the smallest unit over which the experimenter had control. Each of these forty units TABLE 3.17.— A Listing of E.I.P. Centers with the Number of Intern Teachers and Intern Consultants Associated with Each Center, and the Supervisoral Ratio of Interns to Consultants , 1969. Number of Intern Teachers Name of Center 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Alpena Battle Creek Bay City-Saginaw Detroit Grand Rapids Lansing Livonia Macomb Pontiac Port Huron Total: Number of Intern Consultants Pull Time Supervisora] Ratio of Interns to Consultants Part* Time 14 24 12 7 27 29 24 18 14 22 3 3 2 1 5 5 4 3 2 4 0 3 1 1 1 2 b 0 0 0 191 32 8 4.6 6 5.2 5 5.2 5.2 6 6 7 5.5 Mean: Median: Mode: to to to to to to to to to to 1 1 1 1 1 1 1 1 1 1 5*6 to 1 5*4 to 1 5*2 to 1 *Several Intern Consultants were part-time, sharing responsibility for one or more interns with another assignment in the local schools or with E.I.P. 87 met the criteria of operating independently of every other unit. Independence existed both between and within pairs because of the nature of the assignment of the interns to their consultant and assignment to teaching station. The categories within the reactionnalre were designed, by selected sampling of behavioral descriptions of consultant tasks, to be (1) internally consistent, dependent, and mutual­ ly related within each category, and (2) mutually independent and exclusive of every other category included in the Instru­ ment . The dependent variables for Part A of the instrument were perceptions of preference for, and perceived frequency of, occurrence of intern consultant tasks. The two dependent variables were measured by two scales following each behavioral description. Each scale measured the variable of Interest on at least an ordinal basis, and approximated Internal measurement. The data generated from these scales were assumed to be Interval. If the scale possesses this property, equal intervals, we can then utilize the assumption of normal­ ity needed for a parametric statistical test of differences between means. On this point Kerllnger says: Though most psychological scales are basically ordinal, we can with considerable assurance often assume an equality of interval. The argument is evidential. If we have, say, two or three measures of the same varia­ ble, and these measures are all substantially and linearly related, then equal Intervals can be assumed. This assumption is valid because the more nearly a relation approaches linearity, the more nearly equal~ are the Intervals of the scales. This also applies, at least to some extent, to certain psychological 88 measures like intelligence, achievement, and attitude tests and scales. A related argument is that many of the methods of analysis we use work quite well with most psychological scales. That is, the results we get from using scales and assuming equal inter­ vals are quite satisfactory.^ Illustration 3*4, below, represents the research para­ digm utilized in the treatment and analysis of data on Part A of this study. A legend appears below the schematic, indicating the symbols used. Data for Part A were treated a s a 2 x 6 x 2 x 4 0 torial design for purposes of analysis, where: fac­ and C 2 represented preference for, and frequency of, occurrence of intern consultant behavior, through Rg were categories of specific Intern consultant behaviors treated as repeated measures, and T 2 represented interns and consultants, P^ through P jjq represented the contrast of Interns paired to their consultant. The arrangement of the independent varia­ bles in this manner enabled the experimenter to utilize a Pour-Way Analysis of Variance, Mixed Effects Model, Repeated Measures Design to test for overall significance In Part A of the Instrument. The second section of the written reactionnaire, Part B, was designed to measure preferred and likely intern con­ sultant method of operation. 5Ibi d . , pp. 426-427. The two populations of 89 ILLUSTRATION 3.4.— Research Paradigm for Part A of the Intern Consultant Inventory. R1 P1 r 2 R3 R4 R5 R6 R1 R2 R3 R4 R5 R6 X P2 P3 T. • • • P 40 P1 X P2 p3 T, • • • P 40 Legend: = Preference C£ = Frequency R^ = Management Techniques R6 * Intern Teachers T1 ’ T« = Intern Consultants R^ = Conditions of Learning Rg * Planning for Instruction Rjj ■ Measurement of Learning Rj- * Analysis of Teaching Supportative Behavior Paired Interns to their Consultant 40 90 Interest and experimental unit of analysis remain the same as in Part A, interns and consultants and forty pairs, respectively. However, intern consultant method of operation was represented by three categories. They were: theoretical- practical orientation, intern-intern consultant active initiative orientation, and directive-non-directive orientation. Illustration 3.5, portrays the research paradigm for the treatment and analysis of data of Part B. A legend is presented below, indicating the symbols used to Identify the components of the design. Data for Part B were treated a s a 2 x 3 x 2 x 4 0 torial design, where: perceived actual, fac­ E.^ and Eg indicated preference for and through represented theoretical- practical, intern-consultant actuating, and directive-nondirective orientation of consultant method of operation, T^ and Tg indicated Interns and consultants, and P^...P^ q represented the contrast of Interns paired with their con­ sultant. The arrangement of the variables in this manner enabled the experimenter to utilize a Four-Way Analysis of Variance, Mixed Effects Model, Repeated Measures Design to test for overall significance in Part B of the instrument. This design was treated as independent of Part A, although both sections were administered at the same time. 91 ILLUSTRATION 3-5.— Research Paradigm for Part B of the Intern Consultant Inventory. E1 m P1 E2 2 M 3 Mi M2 M3 X P2 P3 ♦ • • P l|0 P1 - - X P2 P3 T. • • • P40 Legend: E. Preferred Behavior T_ * Consultants Likely Behavior M. Theoretical Orientation m 2 - Active Behavior M, - Directiveness Consul­ tant Behavior Interns Paired Interns to their Consultants 40 92 Thus, the design of this study included the various factors built into the instrument to explore role percep­ tions for the intern consultant. The multi-factorial design and analysis of variance allowed the manipulation and control of two or more variables simultaneously. Another advantage was the study of the interactive effects of the independent variables on dependent variables. Finally, the multi-factorial design and analysis of vari­ ance was more precise than other combinations of research design and statistical considerations available. The Statistical Hypotheses of this Study The following hypotheses were posed for testing in this study: 1. There is no difference of preference for selected intern consultants' tasks between intern teachers and intern consultants in the Michigan State University Elementary Intern Program as measured by the Intern Consultant Inventory. Symbolically: Ho.^ : p 1 = y2 Where: : on Part A in the design of this study Alternate Hypothesis : Intern teachers' mean score of preference for selected intern consultant tasks is different from intern consultants' mean score. 93 Symbolically: 2. HA1 : y-j.^2 There Is no difference of perceived fre­ quency of selected Intern consultant tasks between Intern teachers and Intern consul­ tants In the Michigan State University Elementary Intern Program as measured by the Intern Consultant Inventory. Symbolically: Where: Ho2 : u 1 = u 2 = T^C2 y2 = T 2C2 : on Part A in the design of this study Alternate Hypothesis: Intern teachers' mean score of perceived frequency of selected Intern consultant tasks is different from intern consultants’ mean score. Symbolically: 3. : b1^y2 There is no difference of preference for a theoretical approach in intern consultant method of operation between Intern teachers and Intern consultants in the Michigan State University Elementary Intern Program as measured by the Intern Consultant Inventory. Symbolically: Ho^ : y1 = u2 Where:y ^ = t iM 1E 1 : on Part B In the design of this study. Alternate Hypothesis: Intern teachers' mean score of preference for a theoretical approach in intern 9*i consultant method of operation is different from Intern consultants' mean score. Symbolically: M. There is no difference of perceived actual theoretical approach in intern consultant method of operation between intern teachers and intern consultants in the Michigan State University Elementary Intern Program as measured by the Intern Consultant In­ ventory . Symbolically: Where: Ho^ : y^ = y2 y^ = t i M 2.E 2 : on Part B In the design of this study. Alternate Hypothesis: Intern teachers' mean score of perceived actual theoretical approach In intern con­ sultant method of operation is different from intern consultants' mean score. Symbolically: 5. HA : y. / y~ There is no difference of preference for initiating intern consultant method of operation between intern teachers and Intern consultants in the Michigan State University Elementary Intern Program as measured by the Intern Consultant Inventory. Symbolically: Where: Ho,- : y^ = y2 y^ « ^i^2El y2 = T2M2E1 : on Part B in the design of this study. 95 Alternate Hypothesis: Intern Teachers’ mean score of preference for initiating intern consultant method of operation is different from intern consul­ tants' mean score. Symbolically: 6. 5 There is no difference of perceived actual initiating intern consultant method of operation between intern teachers and in­ tern consultants in the Michigan State University Elementary Intern Program as measured by the Intern Consultant Inventory. Symbolically: Where: Hog : y^ *= u^ y^ = T^M^E^ : on Part B in the design of this s t udy. Alternate Hypothesis : Intern teachers’ mean score of perceived actual initiating intern consultant method of operation is different from intern con­ sultants’ mean score. Symbolically: HA : 6 7. There is no difference of preference for directiveness in intern consultant method of operation between intern teachers and intern consultants in the Michigan State University Elementary Intern Program as measured by the Intern Consultant Inventory. Symbolically: Where: Ho^ : y^ = y2 y^ = T^M^E^ y 2 = T 2M 3E 1 : on Part B in the design of this study. 96 Alternate Hypothesis: Intern teachers’ mean score of preference for directiveness In the Intern consultant method of operation is different from In­ tern consultants’ mean score. Symbolically: 8. There Is no difference of perceived actual directiveness In Intern consultant method of operation between intern teachers and Intern consultants In the Michigan State University Elementary Intern Program as measured by the Intern Consultant Inventory. Symbolically: Where: HOg : = U2 u1 = : on Part B in the design of this s t ud y. Alternate Hypothesis: Intern teachers' mean score of perceived actual directiveness in intern consultant method of operation is different from in­ tern consultants' mean score. Symbolically: HA : U2 8 Data Collecting Process Data for this study were collected over a twenty-day period of April/May, 1969. This period of time was necessi­ tated by the geographic distribution of E.I.P. centers scattered throughout the lower peninsula of the State of Michigan. (See Table 3.18 below.) 97 TABLE 3.18.— A Listing of Elementary Intern Program OffCampus Centers Cooperating in this Study, and Their Approximate Distances from the Michigan State University Campus, 1969. Name of Center 1. 2. 3. n. 5. 6. 7. 8. 9. .0. Approximate Distance from MSU Campus Alpena Battle Creek Bay City-Saginaw Detroit Grand Rapids Lansing Livonia Macomb Pontiac Port Huron Note: 230 50 80 97 65 4 93 90 84 120 miles miles miles miles miles miles miles miles miles miles A State of Michigan map is provided in Appendix A. A cover letter was sent to the above-listed centers indicating in global terms the purpose of the research pro­ ject. The cover letter is found in Appendix B. Through the cooperation of center directors, who were Michigan State University faculty members in residence in the off-campus communities, interns and consultants were scheduled to parti­ cipate in this study. In every case, intern consultants were scheduled to participate during the afternoon of their normal working day. In most cases, intern teachers participated during the early evening hours, after a full working day, in conjunction with, or in place of, their regularly scheduled college course taught by the center director. In several instances, interns were scheduled after their normal teaching 98 day, before the supper hour, and expressly for the purpose of participation in this study. In large measure, this accounts for the high rate of involvement of the sample of interest. Thus, an attempt was made to maximize the validity of the data and minimize any inconvenience to the respondents. The subjects met with a team of researchers. This team consisted of three advanced graduate students in ele­ mentary education at Michigan State University. The research team members were introduced to the center direc­ tors by the cover letter. The research team met several times before the data-collecting process was initiated to standardize rapport establishing, oral instructions, and test administration procedure. Ten off-campus centers necessitated twenty separate administrations of the instrument: ten to interns. ten to consultants and The consultants, in an individual center, responded as a group. While the test administration situa­ tion was natural and comfortable, it paralleled closely a typical classroom testing situation. The respondents com­ pleted the reactionnaire independent of each other. The same procedure was followed for interns with one large group administration for each center. The situation was more for­ mal for interns because of the connection between this research project and their regularly scheduled college class. The average time period for both groups to complete this reactionnaire was thirty minutes each. 99 Conditions for data collecting varied among centers because of differences in geographic location and physical conditions of the particular center facility. With one exception, 19 of the reactionnaire administrations took place in a classroom within the center facility. The ex­ ception was when the interns from one center responded to the instrument in the living room of the center director's home. The practice of this center was that the i n t er ns ’ college class met informally in various homes. They were previously scheduled to meet ;tt the director's home coinci­ dental to the purpose of data collection for this study. Independence of observation was assured by each intern com­ pleting the written reactionnaire independently. Initial Steps in Data Processing Subjects responded to the scaled continua by placing a mark on their answer sheet. When all the data were col­ lected for all centers, including make-ups, the answer sheets were machine processed to obtain a frequency count for each continuum item response. Data were translated directly from machine readable answer sheets which had been marked by respondents to punched computer cards by an IBM 420. A verification was made at this point to determine that the computer cards corresponded with answers on the answer sheets. In addition, the machine produced a print­ out frequency count for Item responses for Part A and Part 100 B of the Instrument. The frequency count data Is summarized In Appendix D. In the next step, the computer was instructed to categorize specific Items imbedded in the instrument for Part A and average the scores for Individuals within and across categories. A new computer card for each Individual respondent was punched Indicating that Individual's average score for each category. .A validation check was made of this process for accuracy. The same procedure was followed for Part B of the Instrument. Having obtained individual mean scores for categories, mean scores for Pair 1 through Pair HO for Interns and mean scores for Pair 1 through Pair JJQ for consultants, both within and across repeated measures (categories 1 through 6 ) and across the variable of preference were computed. The same procedure was followed for the frequency variable. At this point the data were in a form for an Analysis of Vari­ ance program. Statistical Procedures Used in this Study The problem in this study, intern consultant role exploration, led to the development of a multi-factorial Instrument and design. The design of this study required factorial analysis of variance as the statistical method to analyze the Independent and Interactive effects of the independent variables upon the dependent variables, preference 101 and frequency. Thus, analysis of variance was the most powerful and appropriate model adaptable to this study. Data were analyzed for over-all significance to determine the precision for Part A of the instrument. analysis of variance was used for this purpose. The Hypothesis 1 and Hypothesis 2 were tested by the Scheffe post-hoc comparison technique after the over-all F test had shown significance. Data were tested for over-all significance to deter­ mine the precision for Part B of the instrument by the ana­ lysis of variance. Hypotheses 3, 5* 6, 7, and 8 were tested by the Scheffe post-hoc comparison technique after the over-all F test had shown significance. Hays has pointed out t h a t : Considered by themselves, all that the F tests in analysis of variance can tell you is that something seems to have happened. If the F is significant, then some effects presumably exist that can be expected to occur again under similar circumstances; if the test is not significant, something notable still may have happened, but if treatment effects exist they are at least partially obscured by other variation. Other than this, an F test tells almost nothing.° Hays suggests that a powerful statistical technique for eval­ uating the significance of differences among means after the over-all F test has shown significance is post-hoc compari­ sons. The Scheffe post-hoc comparison technique has the ^William L. Hays, Statistics for Psychologists (New York: Holt, Rinehart, and Winston, I n c ., 1 9 6 3 ) 7 P P • ^59-^60. 102 advantages of simplicity, applicability to groups of unequal sizes, and any comparison can be made. There is no require­ ment that post-hoc comparisons be independent. This method is also known to be relatively insensitive to departures from normality and homogeneity of variance. 7 Statistical Assumptions The mixed effects model of analysis of variance was used to test over-all significance for the Intern Consultant Inventory, Part A and Part B. This model required the sat­ isfaction of the following assumptions: 1. the distribution of the dependent variable, preference and frequency, be normally dis­ tributed in the population sample; 2. the homoscedasticity or variance from the means of the rows and columns tends to be e q ua l; 3. that there be independence of observations among the population sample; and 4. the off-diagonal elements in the repeated measures by repeated measures correlational matrix be equal. The Scheffe post-hoc comparisons required no further assump­ tions that those described above for the analysis of variance. The assumptions of normality and homoscedasticity can be violated without serious consequences because of the q robustness of the analysis of variance. Independence of 70p. c i t .. p. 484. g Henry Scheffe, The Analysis of Variance John Wiley and Sons, I n c . , 1959), p. 362. (New York: 103 observations in this study were assumed to be met by objectivity in the administration of the instrument. The fourth assumption, that the off-diagonal elements in the repeated measures by repeated measures correlational matrix be equal, was not essential because the conservative Q test suggested by Greenhouse and Geiser was used. This conservative test, which reduced the degrees of freedom used in producing the F ratio, did not require that this fourth assumption be met. Significance Level Chosen The .05 level for rejection of the null hypothesis was selected as being sufficiently rigorous for the purposes of this study. If the probability was at or less than five times in one hundred that observed difference, or one greater could have occurred by chance, then the hypothesis was rejected. However, if the observed difference was of such a magnitude that it or one greater might arise more than five times in one hundred through the operation of # chance factors, the null hypothesis of no difference was accepted, o S. W. Greenhouse and S. Geiser, "On Methods of the Analysis of Profile Data," Psychometrika, 24, pp. 95-112. C H A P T E R IV ANALYSIS OP DATA In this chapter: (1) results from Part A of the Intern Consultant Inventory are summarized in an analysis of vari­ ance table; (2) Hypothesis 1 and Hypothesis 2 are tested by Scheffe post-hoc comparisons and results presented; (3) further exploration of Part A of the Intern Consultant In­ ventory are presented; (4) results from Part B of the Instru­ ment are summarized in an analysis of variance table; (5 ) Hypotheses 3 through 8 are tested by Scheffe post-hoc comparisons and results presented, and finally, (7 ) further results of Part B of the Intern Consultant Inventory are presented. A detailed discussion of each hypothesis follows in Chapter V. Intern Consultant Inventory Part A The analysis of variance procedure was used to test over-all significance for Part A of the Instrument. The P test results from the analysis of variance are presented below in Table 4.1. 105 TABLE 4.1.— Analysis of' Variance for Part A of the Intern Consultant Inventory • Source of Variance (Interns and Consultants) C. (Preference and Frequency) R. (Selected Con­ sultant tasks) P. (Paired Interns and Consultant) TC. (Interns/Con­ sultants and Pre­ ference/Frequency ) TR. (Interns/Consul­ tants and Selected Consultant Tasks) TP. (Interns/Consul­ tants and Paired Interns/Consultants CR. (Preference/Fre­ quency and Selected Consultant Tasks) CP. (Preference/Fre­ quency and Paired Interns/Consultants RP. (Selected Consul­ tant Tasks and Paired Interns/ Consultant) TCR. (Interns/Consul­ tants and Prefer­ ence/Frequency and Selected Con­ sultant Tasks) TCP. (Interns/Con­ sultants and Pre­ ference/Frequency and Paired Interns/ Consultant) TRP. (Interns/Consul­ tants and Selected Consultant Tasks and Paired Interns/ Consultant) Sums of Squares Degrees of Freedom Mean F Squares Ratio T. 967.01 1 967.01 5 4 .54# 3970.29 1 3970.29 623.79* 203.21 5 40.64 5 .21* 608.70 39 15.61 10.48 1 10.48 1.65 52.70 5 10.54 5.13* 691.52 39 17.73 105.89 5 21.18 248.22 39 6.36 584.15 195 3.00 19.04 5 3.81 234.55 39 6.01 400.37 195 2.05 18.70# 4.08# 106 TABLE 4.1.— Continued. Source of Variance Sums of Squares Degrees of Freedom CRP. (Preference/Fre­ quency and Selected Consultant Tasks and Paired Interns/ Consultant) 220.84 TCRP. (Interns/Consul­ tants and Prefer­ ence/Frequency and Selected Consultant Tasks and Paired Interns/Consultant) 181.87 Mean Squares 195 1.13 195 0.93 F Ratio ^Significant at th'e .05 level of confidence. Results Comparison of mean scores on the Intern Consultant Inventory by P tests suggests that: 1. significant difference existed between Interns and consultants (Main Effect) 2. significant difference existed between preference and frequency (Main Effect) 3. significant difference existed between selected consultant tasks (Main Effect) 4. no significant difference existed between interns and consultants and preference and frequency (First Order Interaction) 5. significant difference existed between interns and consultants and selected consultant tasks (First Order Interaction) 6. significant difference existed between preference and frequency and selected consultant tasks (First Order Interaction) 107 7. significant difference existed between interns and consultants, preference and frequency, and selected consultant tasks (Second Order Interaction) Thus, the tentative conclusion was that Part A of the instru­ ment performed as planned. It discriminated differences between the variables of interest in this study. In the next portion of this report, the hypotheses tested by a variation of the above statistical test and results for each are presented. Hypothesis One There is no difference of mean scores between intern teachers and intern consultants in the Michigan State University Elementary Intern Program on preference for selected intern consultant tasks on the Intern Consultant Inventory. Symbolically: Ho^ = = T2C1 Tested by ? g W here: T1C1 = 15.7 T 2C1 = 17-5 W h ere: T1C1 " T 2C1 = y 15.7 - 17-5 = “ 1.8 Where: 4» g = “ 1.8 ± .82* ^Significant at the .05 level of confidence Result On the basis of the post-hoc comparison, tested above, Hypothesis 1 was rejected. A difference between the mean 108 scores for Intern teachers and Intern consultants on prefer­ ence for selected Intern consultant tasks was found. The difference was significant at the .05 level of confidence. Inspection of the confidence interval indicates the mean score for intern consultants is greater than the mean score for intern teachers on preference for selected intern consul­ tant tasks. Hypothesis Two There is no difference of mean scores between intern teachers and intern consultants in the Michigan State University Elementary Intern Program on perceived frequency of selected intern consultant tasks on the Intern Consul­ tant Inventory. Symbolically: T2C 2 = T 2^2 Tested by ¥ g Where: T 1C 2 = H - * T 2C 2 = 13.7 Where: Where: T 1C 2 - T 2C2 “ ’ 1 1 .4 - 13.7 = ” 2. A H* g = "2. 3 ± .82* ^Significant at the .05 level of confidence. Result Hypothesis 2, tested by the post-hoc comparison above, was rejected. A difference between mean scores for intern teachers and intern consultants In perceived frequency of 109 occurrence of selected Intern consultant tasks was found. This difference was significant at the .05 level of confid­ ence. Inspection of the confidence interval indicates the mean score for intern consultants was greater than the mean score for intern teachers in perceived frequency of occur­ rence of selected intern consultant tasks. Further Exploration of Data from Part A of the Intern Consultant Inventory The variables of interest in this study were (1) interns and consultants, (2 ) preference and frequency, and (3) selected consultant tasks. Examination of the F ratios derived from the analysis of variance procedure indicated that each of the three variables of Interest were signifi­ cant at the .05 level of confidence. In addition, three of the four interactions were found to be significant. To deter­ mine what Information these significant findings portend, the data were further explored by tables, graphs, and posthoc comparisons. The most meaningful Information generated by this reactionnaire were not tapped by Hypothesis 1 and Hypothesis 2; as a result, further probing was essential. In Table 4.2 below, the F test result is presented for the main effect of subjects. A significant difference was found between interns and consultants. The observed mean score for interns, collapsed over preference and across selected consultant task, was 13-58. The observed mean score, also collapsed, for consultants was 15-59- This 110 finding Indicated that consultants expressed greater prefer 4k ence for, and perceived greater frequency of, the selected consultant tasks than Intern teachers. TABLE 4.2.— P Test Result from the Analysis of Variance for Intern and Consultant Subjects. Source of Variance (Interns and Consultants) T.P. (Interns/Con­ sultants and Paired Interns/ Consultant) Sums of Squares Degrees of Freedom Mean Squares P Ratio T. 967.01 1 967.01 691.52 39 17.73 #Signifleant at the .05 level of confidence 54.54* • Table 4.3 Includes the F test result for the variables of preference and frequency. A significant difference was found between preference and frequency. The observed mean score for preference, collapsed over interns and consul­ tants and across selected consultant tasks, was 16.62. The observed mean score, likewise collapsed, for frequency was 12.55* This suggests that both interns and consultants expressed greater preference for the selected intern consul­ tant tasks than their perceived frequency of occurrence for the tasks. Ill TABLE 4.3.— P Test Results from the Analysis of Variance for Preference and Frequency. Source of Variance (Preference and Frequency) C.P. (Preference/ Frequency and Paired Interns/ Consultant) Sums of Squares Degrees of . Freedom Mean Squares F Ratio 623.79* C. ^Significant at the 3970.29 1 3970.29 248.22 39 6.36 .05 level of confidence. The P test result for the selected intern consultant tasks is found in Table 4.4. found. A significant difference was The selected consultant tasks, when collapsed over interns and consultants and preference and frequency, were significantly different from one another. A rank order of the observed mean scores, collapsed across the other varia­ bles, is presented in Table 4.5. The rank ordering of selected consultant tasks, found in Table 4.5, Indicates that the conditions of learning task was both preferred and frequenced more than another con­ sultant task. This category was followed by classroom management, evaluation of learning, supportative behavior, and planning for learning. The analyzing teaching taks was preferred and frequenced less than any other selected con­ sultant task as perceived by both interns and consultants. 112 TABLE 4.4.— P Test Results from the Analysis of Variance for Selected Intern Consultant Tasks. Source of Variance (Selected Consul­ tant Tasks) R.P. (Selected Con­ sultant Tasks and Paired Interns/ Consultant) Sums of Squares Degrees of Freedom Mean Squares P Ratio R. 203.21 5 40.64 584.15 195 3.00 ^Significant at the .05 level of confidence 13.55* * TABLE 4.5.— A Rank Order of Mean Scores of Selected Intern Consultant Tasks Combining Intern and Consul­ tant Perceived Preference and Frequency. Rank Order 1. 2. 3. 4. 5. 6. Repeated Measure In the Design R2 *1 Rj, *6 *3 R5 Task Category Combined Mean Score Conditions of Learning 15.46 Clas;;room Management 14.78 Evaluation of Learning 14.58 Supportive Behavior 14.34 Planning for Learning 14. 31 14.02 Analyzing Teaching In Table 4.6 below, the P test result is presented for the interaction effect of TR (interns and consultants and selected intern consultant tasks, collapsed across preference and frequency). This- interaction effect was significant at 113 the .05 level of confidence. To determine the precise nature of the Interaction the observed mean scores are presented In Table 4.7. TABLE 4.6.— P Test Result from the Analysis of Variance of Interns and Consultants and Selected Intern Consultant Tasks Collapsed Across Preference and Frequency. Source of Variance (Interns and Con­ sultants and Selected Intern Consultant Tasks) T.R.P. (Interns and Consultants and Selected Intern Consultant Tasks and Paired In­ terns with Con­ sultant ) Sums of Squares Degrees of Freedom Mean Squares F Ratio T.R. 52.70 5 10.54 400.37 . 195 2.05 5.13* •Significant at the .05 level of confidence. Table 4.7 includes mean scores of intern teachers and intern consultants for selected intern consultant tasks and post-hoc comparison test results. In every case intern consultants1 mean scores, collapsed over preference and fre­ quency, for selected intern consultant tasks were greater than intern teachers’ mean scores. Significant differences, by Scheffe post-hoc comparison tests, were found to exist between intern teachers’ and Intern consultants* mean scores 114 TABLE 4.7*— Mean Scores of Intern Teachers and Intern Consultants for Selected Intern Consultant Tasks, Differences of Mean Scores, and PostHoc Comparison Test Results. Subjects Categories of Tasks Design). (Repeated Measures within the Class­ room Manage­ ment Tasks Condi­ tions of Learn­ ing Tasks Plan­ ning for Learn­ ing Tasks Evalu­ ating Learn­ ing Tasks Analyz­ ing Teach­ ing Tasks Supportative Be­ havior Tasks R1 R2 § R4 R5 R6 Intern Teachers Ti 13.8 14.9 13.3 13.2 13.0 13.2 Intern Consul­ tants T2 15.8 16.0 15.3 15.9 15.0 15.5 - 2 .0* - 2.7* - 2 .0* - 2.3* Difference of Mean - 2 .0* Scores - 1.1 Tested by 'i'g = ± 1 .86, ^Significant at the confidence. .05 level of 115 of classroom management tasks, planning for learning tasks, evaluating learning task, analyzing teaching tasks, and supportatlve behavior tasks. Conditions of learning tasks were selected highest, of all the tasks, by both interns and consultants. In Illustration 4.1, the first order interaction effects for intern teachers’ and intern consultants’ mean scores collapsed across preference and frequency on selected intern consultant tasks are presented. Intern consultant mean scores were always higher than intern teachers. Differences between means were greatest between these two groups on the evaluation of learning tasks while differences were smallest between conditions of learning tasks. In Table 4.8 results of the F test from the analysis of variance for the C.R. (Preference and Frequency for Selected Intern Consultant Tasks) and C.R.P. (Preference and Frequency for Selected Intern Consultant Tasks across Pairs of Interns and Consultant) interaction is presented. Differences were found between preference and frequency for selected intern consultant tasks. These differences were significant at the .05 level of confidence. Mean scores of preference and frequency for selected intern consultant tasks, differences of mean scores, and post-hoc comparison test results are presented in Table 4.9. All differences between mean scores of preference and fre­ quency were significant across each category of selected 116 ILLUSTRATION 4.1 First Order Interaction Effects for Intern Teachers and Intern Consultants Mean Scores on Selected Intern Consul­ tant Tasks Collapsed Across Preference and Frequency. Combined Mean Scores for Preference and Frequency 16.5 ■■ 1 6 . 0 -Intern ^ Consultants 15.0 - Intern Teachers R R R R R Repeated Measures of Cate­ gories for Selected Intern Consultant Tasks R 117 TABLE k . 8 .— P Test Results from the Analysis of Variance of Preference and Frequency for Selected Intern Consultant Tasks. Source of Variance C.R. (Preference and Frequency for Selected Intern Consultant T asks) C.R.P. (Preference and Frequency for Selected Intern Consultant Tasks Across Pairs of Interns with Consultant) Sums of Squares Degrees of Freedom Mean Squares 105.89 5 21.18 220. 8*1 195 1.13 ^Significant at the .05 level of confidence • F Ratio 18.70* TABLE 4.9.— Mean Scores of Preference and Frequency for Selected Intern Consultant Tasks, Differences of Mean Scores, and Post-Hoc Comparison Test Results. Variables Categories of Tasks Design) Class­ room Manage­ ment Tasks (Repeated Measures within the Condi­ tions of Learn­ ing Tasks Plan­ ning for Learn­ ing Tasks Evalu­ ating Learn­ ing Tasks Analyz­ ing Teach­ ing Tasks Supportative Be­ havior Tasks Preference Cl 16.2 17.6 16.8 16.6 16.1 16.5 Frequency c2 13. 4 13.4 11.8 12.6 12.0 12.2 Difference of Mean Scores 2.8* 4.2* 5.0* 4.0* 4.1* Tested by ig = ± 1 .36, *Significant at the .05 level of confidence. 4.3* intern consultant task. The differences were significant at the .05 level of confidence. The greatest observed differ­ ence between means was on the category of planning for learning tasks while the smallest difference between means was observed on the category of classroom management tasks. In Illustration 4.2 the interaction effects for prefer­ ence and frequency of selected intern consultant tasks collapsed across interns and consultants are presented. In every case, preference for selected intern consultant tasks was rated higher than the perceived frequency of occurrence. Conditions of learning tasks was rated highest of all prefer­ ence across categories; followed by planning for learning, evaluation of learning, supportative behaviors, classroom management, and analyzing teaching. Classroom management and conditions of learning were rated highest in perceived frequency of occurrence; followed by evaluation of learning, supportative behaviors, analyzing teaching, and planning of learning. Planning for learning tasks was rated second highest on preference yet rated lowest in perceived fre­ quency of occurrence. Classroom management tasks, though rated second lowest on preference, was rated highest in per­ ceived frequency of occurrence when intern and consultant mean scores are combined. Analyzing teaching tasks were rated low on both preference and perceived frequency of occurrence. 120 ILLUSTRATION 4.2.— First Order Interaction Effects for Preference and Frequency Mean Scores on Selected Intern Consultant Tasks Collapsed Across Interns and Consultants. Combined 18, Mean Scores 17 for In­ tern 17 Teachers and In16 tern Consultants 16, 0 -- Preference 15 5 -• «« ** ** R^ : Classroom Management R^: Conditions of Learning R Evaluation of Learning R 14 5 14 0 -- 13 5 " Planning 3* for Learning R4 * 15 0 -- 13 0 -12 5 -12 0 - - Frequency Analyzing 5* Teaching R Supportative 6‘ Behaviors *ft ** ** 11 5 -■ 11 0 10 5-- * / •A 0 R- R, R, Repeated Measures of Categories for Selected Intern Consultant Tasks. Table 4.10 contains the P test result from the analysis of variance for the TCR second order interaction effect. The interaction effect for interns and consultants and preference and frequency and selected consultant tasks were found to interact significantly. To understand this finding the mean v scores for interns and consultants preference and frequency for selected intern consultant tasks are presented in rank order. TABLE 4.10.— F Test Result from the Analysis of Variance for Interns and Consultants and Preference and Frequency and Selected Intern Consultant T a s k s . Sums of Squares Source of Variance (Interns and Con­ sultants and Pre­ ference and Fre­ quency and Selected Consul­ tant Tasks) TCRP. (Interns and Consultants and Preference and Frequency and Selected Consul­ tant Tasks and Paired Interns with Consultant) Degrees of Freedom Mean Squares F Ratio TCR. ^Significant at the 19.04 5 3. 81 181.87 195 0.93 4.08* .05 level of confidence. This information is reported in Table 4.11. Interns and consultants differed greatly on their ordering of pre­ ference for selected consultant tasks. They differed very T ABLE 4.11.— Rank Order of Interns and Consultants Preference for and Perceived Frequency of Selected Intern Consultant Tasks. Rank Order Preference Intern Consultants Intern Teachers Task Category Perceived Actual Intern Teachers Intern Consultants Mean Score Task Category Mean Score Task Category Mean Score Task Category Mean Score 1 Conditions of Learning (R2 ) 17.2 Conditions of L e arning (R^) 18.0 Conditions of Learning (R^) 12.6 Classroom man­ agement (R^) 14.3 2 Planning for Learning (R^) 16.1 Evaluating Lea r n i n g (R^) 17.9 Cl a ssroom M a n ­ agement (R^) 12.5 Conditions of L ea r n i n g (Rg) 14.1 3 Supportative Behaviors (Rg) 15.4 Supportative Behaviors (Rg) 17.6 E valuating Learning (R^) 11.2 Evaluating Lea r n i n g (R^) 13-9 3.5 4 Analyzing Teaching (Rj.) 15.3 P la n n i n g for L earning (R^) 17.6 S upportative Behaviors (Rg) 11.0 Supportative B ehaviors (Rg) 13.4 5 Evaluating Learning (R^) 15.2 Classroom Management 17.3 Analyzing Tea c h i n g (R^) 10.7 Analyzing Tea c h i n g (R^) 13.3 6 Classroom M a n ­ agement (R^) 15.1 16.8 P l anning for Lea r n i n g (R^) 10.5 Pl a n n i n g for L e a r n i n g (R^) 13.1 (R^) Analyzing T e a c h i n g (R^) little on the rank ordering of frequency of occurrence. Interns and consultants preferred conditions of learning task higher than all other tasks. Interns preferred plan­ ning for learning second while consultants selected planning for learning third-fourth. Interns preferred supportative behavior tasks third and consultants rated them thirdfourth. Interns preferred analyzing teaching tasks fourth contrasted with consultants preference of sixth. Interns preferred the evaluating learning task fifth and consultants rated this task second. Interns rated preference for the classroom management task sixth while consultants preferred the classroom management task fifth. The rank ordering of perceived frequency of selected consultant tasks between interns and consultants resulted in high agreement. Interns rated frequency of conditions of learning tasks first and consultants rated them second. Interns rated classroom management tasks second while con­ sultants rated them first in order of frequency. Complete agreement existed between interns and consultants on the ordering of the frequency with which the other tasks oc­ curred; evaluating learning third, supportative behavior fourth, analyzing teaching fifth, and planning for learning sixth. Differences between interns' preference and their perceived frequency of selected Intern consultant tasks were found to exist. These differences are presented in Table 4.12. TABLE 4.12.— Rank Order of Intern Teachers Expressed Prefer­ ence for and Perceived Frequency of Selected Intern Consultant T a s k s . Expressed Preference for Rank Score 1 2 3 4 5 6 Selected Task Category Conditions of Learning Planning for Learning . Supportative Behaviors Analyzing Teaching Evaluating Learning Classroom Management Perceived Frequency of Mean Score Rank Order 1 17.2 2 16.1 3 15. 4 4 15.3 5 15.2 6 15-1 Selected Task Category Mean Score Conditions of Learning Classroom Management Evaluating Learning Supportative Behavior Analyzing Teaching Planning for Learning 12.6 12.5 11.2 11.0 10.7 10.5 Conditions of learning tasks was preferred higher than any other consultant task category and also perceived to be frequenced highest by intern teachers. Interns preferred planning for learning consultant tasks second highest of all categories but indicated they frequenced assistance in this area least. Preference for supportative behavior tasks was preferred third, while perceived to be experienced fourth. Interns preferred analyzing teaching fourth but experienced this aid from consultants fifth. Evaluating learning was preferred fifth and experienced third while classroom management was preferred sixth but experienced quite frequently by being rated second. 125 The Information in Table 4.13 indicates intern consul­ tant priorities of preference and indicates the frequency of occurrence for selected consultant behaviors. Conditions of learning and evaluating learning appeared high on pre­ ference and frequency. Planning for learning tasks appeared 3.5 on preference and last in frequency of occurrence. Classroom management tasks appeared fifth on preference yet first on perceived frequency by intern consultants. Ana­ lyzing teaching tasks appeared sixth on preference and fifth on frequency of occurrence by intern consultants. TABLE 4.13.— Rank Order of Intern Consultants Expressed Preference for and Perceived Frequency of Selected Intern Consultant T a s k s . Expressed Preference for Rank Order 1 2 3.5 3.5 5 6 Perceived Frequency of Selected Tasks Mean Category Score Conditions of Learning Evaluating Learning Supportative Behavior Planning for Learning Classroom Management Analyzing Teaching Rank Order 1 18.0 2 17.9 3 17.6 4 5 17.3 6 16. 8 Selected Tasks Mean Score Category Classroom Management Conditions of Learning Evaluating Learning Supportative Behavior Analyzing Teaching Planning for Learning 14. 3 14.1 13.9 13.4 13.3 13.1 126 The results indicate that interns and consultants differed greatly on their ordering of preference for selected consultant tasks. They differed little on the rank ordering of frequency of occurrence. Both groups indicated a dif­ ference between what they would prefer on their expectations for selected intern consultant tasks and what was perceived to occur in rank order of frequency. Intern Consultant Inventory Part B The over-all significance for Part B of the instrument was tested by the analysis of variance. from this analysis are The P test results presented below in Table 4.14. TABLE 4.14.— Analysis of Variance for Part B of the Intern Consultant Inventory. Source of Variance (Interns and Consultants) E. (Preferred and Perceived Actual) M. (Repeated Mea­ sures of Theore­ tical, Initiating, and Directive­ ness ) P. (Pairs of interns and consultants) TE. (Interns/Consul­ tants and preferred/ Perceived Actual) TM. (Interns/Consul­ tants and Repeated Measures) Sums Degrees of of Squares Freedom Mean Squares F Ratio T. 0 .02 1 0.02 .002 18.02 1 18.02 9.99* 436.99 2 218.50 3 1 .59 * 844.20 39 21.65 0. 35 1 0.35 88.13 2 44.07 .19 7.30* 127 TABLE 4.14.— Continued Source of Variance Sums Degrees of of Squares Freedom TP. (Interns/Consul­ tants and Paired Interns and Consultant) 786.40 EM. (Preferred/Per­ ceived Actual and Repeated Measures) 1204.53 EP. (Preferred/Per­ ceived Actual and Paired Interns and Consultant) 70.30 MP. (Repeated Mea­ sures and Paired Interns and Con­ sultant ) 539-50 TEM. (Interns/Con­ sultants and Pre­ ferred/and Per­ ceived Actual and Repeated Measures) 99.60 TEP. (Interns/Consul­ tants and Preferred/ Perceived Actual and Paired Interns and Consultant) 73.84 TMP. (Interns/Consul­ tants and Repeated Measures and Paired Interns and Consul­ tant) 471.14 EMP. (Preferred/Per­ ceived Actual and Repeated Measures and Paired Interns and Consultant) 214.63 TEMP. (Interns/Consul­ tants and Preferred/ Perceived Actual and Repeated Mea­ sures and Paired Interns and Consultant) 194.80 Mean Squares 39 20.16 2 602.27 39 1. 80 78 6.92 2 49.80 39 1. 89 78 6.04 78 2.50 78 2.50 ^Significant at the .05 level of confidence. F Ratio 218.88* 19.94* 128 Results Comparison of mean scores on the Intern Consultant In­ ventory by P tests suggest t h a t : 1. no significant difference existed between interns and consultants (Main Effect) 2. significant difference existed between preferred and perceived actual Intern consultant method of operation (Main Effect) .3. significant difference existed between repeated measures of theoretical orienta­ tion, Initiating, and directiveness In consultant method of operation (Main Effects) significant difference existed between interns and consultants across repeated measures (First Order Interaction) 5. significant difference existed between preferred and perceived actual Intern consultant method of operation across repeated measures (First Order Interaction) 6. significant difference existed between interns and consultants, preferred and perceived actual, across repeated measures of Intern consultant method of operation (Second Order Interaction) Thus, the tentative conclusion drawn, was that Part B of the Intern Consultant Inventory performed as planned. Itdiscrim­ inated differences between the variables of Interest in this study where differences were hypothesized to have existed. The hypotheses tested by a variation of the above statisti­ cal procedure and results for each are presented In the next portion of this report. 129 Hypothesis Three There is no difference of mean scores between intern teachers and intern consultants in the Michigan State University Elementary Intern Program on preference for a theoretical approach in intern consultant method of operation on the Intern Consultant Inventory. Symbolically: Ho^ : T-^M^E^ - T 2^ie i /v Tested by Vg Where: T 1M 1E 1 = 18.157 T 2M 1E 1 = l 8 *575 Where: T^M^ - TgM^ = ¥ 18.157 - 18.575 = ".418 A Where: ¥g = ".42 ± 1.60 Result On the basis of the post-hoc comparison, tested above, the decision was to fail to reject the null hypothesis. The conclusion was that no significant difference existed be­ tween i nterns’ and consultants’ mean scores on preference for a theoretical approach In intern consultant method of oper­ ation. Inspection of the confidence interval indicates the mean score for consultants was greater than the mean score for interns on preference for a theoretical approach in intern consultant method of operation. The practical significance of this finding can be best illustrated by Illustration 4.3. In Illustration 4.3* the theoretical-practical continuum Is presented Indicating 130 preferences for orientation of consultant method of opera­ tion. The theoretical end of the continuum is distinguished by low mean scores while the practical end of the continuum is distinguished by high mean scores. Therefore, interns expressed a greater preference for a theoretical orientation in consultant method of operation and consultants Indicated a preference for practical orientation in consultant method of operation. But, both interns and consultants weighted the balance toward the practical end of the continuum Indicating greater preference for a practical intern con­ sultant method of operation. Although differences existed they were not significant at the .05 level of confidence. ILLUSTRATION 4.3.— Mean Scores of Intern Teachers and Intern Consultants on the Theoretical-Practical Continuum Indicating Preference for Orientation of Consultant Method of Operation. Theoretical .42* Interns 5 Practical Consultants 15 25 18.2 18.6 1 .60* Confidence Interval KEY: * .42 * observed difference in mean scores between Interns and consultants ^ *1.60 = 95 percent confidence interval of ¥g test 131 Hypothesis Four There Is no difference of mean scores between Intern teachers and intern consultants In the Michigan State University Elementary Intern Program on perceived actual theoretical approach in Intern consultant method of opera­ tion on the Intern Consultant Inventory. Symbolically: Ho^ : T-^M-^Eg = TgM-^Eg A Tested by ¥g Where: TjM-jEg = 16.3^7 T 2M 1E 2 = 1 4 ’550 Where: T^Eg - T 2M 1E 2 « V 16.3^7 - 14.550 = 1.797 A Where: Vg = 1.80 ± 1.60* ^Significant at the .05 level of confidence. Result On the basis of the post-hoc comparison test above, the null hypothesis is rejected. A difference existed between interns and consultants in perceived actual theore­ tical approach in intern consultant method of operation. This difference was significant at the ,05 level of confi­ dence. Inspection of the confidence interval indicates the mean score for Intern teachers was greater than the mean score for Intern consultants on perceived actual theoretical intern consultant method of operation. This finding can be shown clearly by a diagram. Illus­ tration 4.4 contains the theoretical-practical continuum with 132 mean scores for Intern teachers and Intern consultants of perceived actual theoretical approach In intern consultant method of operation. The theoretical end of the continuum Is distinguished by low mean scores while the practical end of the continuum is distinguished by higher mean scores. Intern consultants perceived their method of operation as more theoretical than practical. Intern teachers perceived their consultants' method of operation as more practical than theoretical In orientation. This difference between perceptions was found to be significant at the .05 level of confidence. ILLUSTRATION 4. *4.— Mean Scores of Intern Teachers and Intern Consultants on the Theoretical-Practical Continuum Indicating Perceived Actual Theoretical Approach in Intern Consultant Method of Operation. Theoretical 1.80* Consultants 5 Practical Interns 15 1^.6 25 16.4 1 .60*_____ Confidence Interval KEY: *1.80 = observed difference in mean scores between interns and consultants *1.60 * 95 percent confidence Interval of H*g test 133 Hypothesis Five There is no difference of mean scores between intern teachers and intern consultants in the Michigan State University Elementary Intern Program on preference for initiating intern consultant method of operation on the Intern Consultant Inventory. Symbolically: Ho,- : T^M^E1 = T^M^E^ A Tested by Vg Where: = 18.060 T 2M 2E 1 = 19 * ^ 25 Where: - l^M^ * ¥ 18.060 - 19.425 = ” 1.365 Where: Vg = “ 1.37 ± 1-60 Result Pail to reject the null hypothesis and conclude no significant differences existed between intern teachers and intern consultants in preference for initiating intern con­ sultant method of operation. However, inspection of the confidence interval indicates intern consultants1 mean score, of preference for initiating intern consultant method of operation, was greater than intern teachers’ mean scores. This difference is shown in Illustration 4.5. Mean scores of intern teachers and intern consultants on preference for initiating intern consultant method of operation are presented on the consultant-intern initiating continuum in Illustration 4.5. The consultant initiating 134 end of the continuum Is distinguished by low mean scores while the intern initiating end of the continuum is dis­ tinguished by higher mean scores. Both interns and con­ sultants weighted the balance toward the intern initiating end of the continuum indicating their preference for active involvement by interns in the solution of problems. How­ ever, consultants preferred interns to initiate action and to be more actively involved in solutions to problems than consultants. Interns preferred consultants to exercise greater initiative in consultant method of operation. Although differences existed they were not significant at the .05 level of confidence. ILLUSTRATION 4.5.— Mean Scores of Intern Teachers and Intern Consultants on the Consultant-Intern Initiating Continuum Indicating Prefer­ ence for Initiating Intern Consultant Method of Operation. Consultant Initiating 5 1.40* Intern <------ ^ ------ ■» Initiating Interns Cons ultants 25 15 18.1 19.4 1 .60* Confidence Interval KEY: *1,40 = observed difference in mean scores between interns and consultants a *1.60 = 95 percent confidence Interval of Yg test 135 Hypothesis Six There Is no difference of mean scores between Intern teachers and Intern consultants in the Michigan State University Elementary Intern Program on perceived actual initiating intern consultant method of operation on the Intern Consultant Inventory. Symbolically: Hog : T^M^g = T2M 2E2 A Tested by ¥g Where: t^ 1 ^ 2E 2 * 17.650 T 2M 2E 2 - 18.675 Where: t i M 2^2 ” ^2^2E2 “ ^ 17.650 - 18.675 = ” 1.025 Where: ?g * 1.0 3 ± 1.60 Result On the basis of the post-hoc comparison tested above the decision was to fail to reject the null hypothesis. No significant difference existed between interns1 and con­ sultants’ mean scores of perceived actual initiating intern consultant method of operation on the Intern Consultant Inventory. fnspection of the confidence interval indicates intern consultants’ mean score on perceived actual initiat­ ing intern consultant method of operation was higher than intern teachers mean score. In Illustration 4.6 the mean scores, of intern teachers and intern consultants on the consultant intern initiating continuum indicating perceived actual initiating intern 13 6 consultant method of operation, are detailed. The consul­ tant Initiating end of the continuum Is distinguished by low mean scores while the intern Initiating end of the continuum is distinguished by high mean scores. The balance of interns’ and consultants’ mean scores were weighted toward the intern initiating end of the continuum indicating their perception of greater actual intern involvement in the solu­ tion of problems than consultants. Consultants perceived interns initiating action more frequently than consultant initiated method of operation. Interns perceived consultant initiated action more frequently than intern initiated action but the differences in perception were not significant. ILLUSTRATION 4.6.— Mean Scores of Intern Teachers and Intern Consultants on the Consultant-Intern Initiating Continuum Indicating Perceived Actual Initiating Intern Consultant Method of Operation. Consultant Initiating 1.03* Interns 5 Intern Initiating Consultants 15 25 17.7 18.7 1 .60 *_____ Confidence Interval KEY: *1.03 = observed difference in mean scores between Interns and consultants *1.60 * 95 percent confidence interval of ^g test 137 Hypothesis Seven There Is no difference of mean scores between Intern teachers and Intern consultants in the Michigan State University Elementary Intern Program on preference for directiveness in intern consultant method of operation on the Intern Consultant Inventory. Symbolically: Ho^ : T^^E.^ = T 2M^E1 A Tested by H'g Where: T^M^ = 14.662 T 2M 3E 1 “ 13.00 Where: 14.662 - Where: r?2R 3E l = Hf 13.000 - 1.662 Vg = 1.66 ± 1.60* •Significant at the .05 level of confidence. Result • The null hypothesis, tested above by the post-hoc com­ parison, was rejected. There was a significant difference of mean scores on preference for directiveness in intern consultant method of operation between interns and consul­ tants. The difference is significant at the .05 level of confidence. Inspection of the confidence interval indicates interns' mean score of preference for directiveness in con­ sultant method of operation was greater than consultants' mean scores. Illustration 4.7 presents the mean scores of intern teachers and intern consultants on the direct-indirect 138 continuum indicating preference for directiveness in intern consultant method of operation. The directive end of the continuum is distinguished by low scores while the indirect end is distinguished by high mean s c o r e s . The balance of interns* and consultants* mean scores were weighted toward the direct end of the continuum indicating interns and con­ sultants preferred directiveness in consultant method of operation. tiveness. The difference appears to be in degree of direc­ Intern consultants expressed a greater preference for directiveness in consultant method of operation than intern teachers. Intern teachers expressed their preference for directiveness in consultant method of operation but less directive than consultants’ preference. significant at the The difference was .05 level of confidence. ILLUSTRATION 4.7*— Mean Scores of Intern Teachers and Intern Consultants on the Direct-Indirect Con­ tinuum Indicating Preference for Direc­ tiveness in Intern Consultant Method of Operation. Direct 1.66* Indirect „________ 'v________ _ Consultants Interns 15 13-0 14.7 1 .60* Confidence Interval KEY: *1.66 » observed difference In mean scores between interns and consultants *1.60 « 95 percent confidence Interval of ¥g test 25 139 Hypothesis Eight There is no difference of mean scores between intern teachers and intern consultants in the Michigan State University Elementary Intern Program on perceived actual directiveness in intern consultant method of operation on the Intern Consultant Inventory. Symbolically: Hog : T^M^E2 = T 2M^E2 /s Tested by Vg Where: = 18.207 T 2M 3E 2 = 18.775 Where: T^MgEg - T 2M 3E 2 = ¥ 18.207 Where: 18.775 = ".568 ?g = ".57 ± 1.60 Result Pail to reject the null hypothesis on the basis of the post-hoc comparison test stated above. No significant differences existed between Interns and consultants on per­ ceived actual directiveness In intern consultant method of operation. Inspection of the confidence Interval indicates intern consultants' mean score of perceived actual direc­ tiveness In intern consultant method of operation was greater than intern teachers' mean scores. Mean scores of intern teachers and intern consultants on a direct-indirect continuum Indicating perceived actual directiveness in Intern consultant method of operation are presented in Illustration 4.8. The directive end of the 140 continuum is distinguished by low mean scores while the indirect end of the continuum is characterized by high mean scores. The balance of the mean scores of interns and con­ sultants were weighted toward the indirect end of the continuum. This indicates that interns and consultants per­ ceive the actual intern consultant method of operation as indirective. Intern consultants perceived themselves as more indirect than interns. Interns perceived the consul­ tant as indirective but less indirect than the consultants' perceptions. ILLUSTRATION 4.8.— Mean Scores of Intern Teachers and Intern Consultants on the Direct-Indirect Con­ tinuum Indicating Perceived Actual Direc­ tiveness in Intern Consultant Metho.d of Operation. Direct Indirect 57* Interns Consultants 1 .60 * Confidence Interval KEY: *.57 * observed difference in mean scores between interns and consultants A *1.60 = 95 percent confidence interval of 'Fg test 141 Further Exploration of Data From Part B of the Intern Consultant Inventory The analysis of data generated by responses to Part B of the Intern Consultant Inventory were sufficient to permit testing of the hypotheses of Interest In this study. Important Information would be lost If the reporting of the findings ended with the hypothesis testing. There­ fore, additional Information generated by the analysis is reported below. The F test result from the analysis of variance for preference and perceived actual Intern consultant method of operation Is presented In Table 4.15. The results indicated a difference between preference for and perceived actual Intern consultant method of operation. significant at the The difference was .05 level of confidence. The observed mean score for preference collapsed over Interns and consul­ tants and collapsed over repeated measures of theoretical, initiating, and directiveness was 16.98. The observed mean score for perceived actual intern consultant method of operation collapsed over interns and consultants and col­ lapsed over repeated measures of theoretical, Initiating, and directiveness was 17.36. The value of this finding can be understood by an Illustration. In Illustration 4.9 the mean scores of preference for and perceived actual intern consultant method of operation on a continuum collapsed over theoretical, Initiating, and 142 TABLE 4.15.— F Test Result from the Analysis of Variance for Preference and Perceived Actual Intern Consul­ tant Method of Operation. Source of Variance E. (Preference and Per­ ceived Actual) E.P. (Preference and Perceived Actual across Paired In­ terns with Con­ sultant ) Sums of Squares Degrees of Freedom Mean Squares 18.02 1 18.02 70. 30 39 1.80 F Ratio 1 0 .01* ^Significant at the .05 level of confidence • ILLUSTRATION 4.9.— Mean Scores of Preference for and Per­ ceived Actual Intern Consultant Method of Operation Collapsed over Theoretical, Initiating, Directiveness, and Subjects. Theoretical, Consultant Initiating, Directiveness Practical, Intern Initiating, Indirectiveness Preference 5 3 25 15 16.98 KEY: Perceived Actual 17.37* ^Difference between means significant at .05 level of confidence. Iks directiveness and subjects are presented. The theoretical, consultant initiating, and directiveness end of the con­ tinuum is characterized by low mean scores. The practical, intern initiating, and indirectiveness end of the continuum is distinguished by high mean scores. The balance of pre­ ference for and perceived actual mean scores were weighted toward the practical, intern initiating, and indirectiveness end of the continuum. The orientation in both the case of preference for and perceived actual intern consultant method of operation tended toward practical, intern initiating, and indirectiveness, however the most likely consultant method of operation tended more in this direction than that pre­ ferred by both interns and consultants. significant at the .05 The The difference was level of confidence. F test result from the analysis ofvariance for the main effect of consultant method of operation is found in Table 4.16. A significant difference at the .05 level of confidence was found between theoretical, initiating, and directiveness consultant method of operation. To determine the specific variable(s) responsible for this significance, the observed mean scores for the three modes of consultant operation The are presented in a table. rank order of mean scores for intern consultant method of operation combining the scores of intern and con­ sultant preference and perceived actual are displayed in Table 4.17. The mean score of Intern initiating is greater 144 TABLE 4.16.— P Test Results from the Analysis of Variance for Intern Consultant Method of Operation. Sums of Squares Source of Variance M. (Theoretical, Initiating, Directiveness Method of Operation) MP. (Theoretical, Initiating, Directiveness Method of Operation and Paired Interns with Consultant) ^Significant at the Degrees of Freedom Mean Squares 436.99 2 218.50 539.50 78 6.92 .05 level of confidence P Ratio 31.59* • TABLE 4.17.— Rank Order of Mean Scores for Intern Consultant Method of Operation by Combining Scores for Intern and Consultant Preference and Perceived Actual. Rank Order 1. 2. 3. Repeated Measure in the Design "2 *1 M3 Method of Operation Combined Mean Score Intern Initiator 18.45 Practicalness 16.91 16.16 Indirectiveness 145 than practicalness and Indirectiveness. The scores of prac­ ticalness and indirectiveness appear closer together than the mean for intern initiator. The mean score for intern initiator is significantly greater at the .05 level than the means for practicalness and indirectiveness. Both interns and consultants were in greatest agreement on the intern consultant allowing interns to initiate action to solve classroom problems. This finding is pr.esented in a graph in the T.M. first order interaction discussion to follow. The P test result from the analysis of variance for the T.M. (Interns and consultants within repeated measures of theoretical, initiating, and directiveness) and T.M.P. (Interns and consultants within repeated measures across pairs of interns with consultant) first order interaction is presented in Table 4.18. TABLE 4.18.— P Test Results from the Analysis of Variance of Interns and Consultants Combined Prefer­ ence and Perceived Actual Intern Consultant Method of Operation within Repeated Measures. Source of Variation T.M. (Interns and Con­ sultants within Repeated Measures) T.M.P. (Interns and Consultants Within Repeated Measures across Paired Interns with Consultant) Sums of Squares Degrees of Freedom Mean Squares 88.13 2 44.06 471.14 78 6.04 ^Significant at .05 level of confidence. P Ratio 7.30# 146 Differences were found between Interns and consultants with­ in repeated measures. These differences were significant at the .05 level of confidence. Table 4.19 contains the mean scores for interns and consultants collapsed across preference and perceived actual within the repeated measures of theoretical, initiating, and f directiveness of intern consultant method of operation. Intern teachers' mean score of combined preference and per­ ceived actual were higher on the elements of consultants. and than This indicated that interns preferred consul­ tants to be practical and indirective in their method of operation. The table also contains differences in means and the post-hoc comparison test results for the observed means. Inspection of the confidence interval for "initiating con­ sultant method of operation" indicates a sizeable differ­ ence between mean scores. This difference is significant at the .05 level of confidence. The differences between mean scores of interns and consultants on theoretical orientation and on directiveness in consultant method of operation were tested and no significant difference was found between them. In Illustration 4.10 the first order Interaction effect for T.M. (Interns and consultants mean scores on repeated measures of theoretical, initiating, and direc­ tive consultant method of operation) is depicted In 147 TABLE 4.19.— Mean Scores of Intern Teachers and Intern Consultants for Theoretical, Initiating, and Directness in Intern Consultant Method of Operation, Differences of Mean Scores, and Post-Hoc Comparison Test Results. Subjects Repeated Measures of Intern Consultant Method of 1 Operation Theoretical Mi Initiating M 2 Directiveness m3 17.3 17.9 16.4 Intern Consultants T 16.6 19.1 15.9 Difference of Mean Scores .7 Intern Teachers Ti - 1.2* .5 Tested by Vg = ± 1.12, ^Significant at the .05 level of confidence. 148 ILLUSTRATION 4.10.— First Order Interaction Effects for Intern Teachers and Intern Consultants Mean Scores on Repeated M e a s u r e s . 19.5 19.0 Combined Mean Scores for Preference and Perceived Actual 18.5 18.0 17.5 17. 0 16. 5 16.0 T 2 Intern Con­ sultants 15.5 15 .0 0 m Theore­ tical *Signifleant at the 2# Initia­ tive .05 level of confidence. m 3 Directive 149 graph form. The differences between Interns1 and consul­ tants' mean scores are visibly pronounced. The real meaning of these differences are presented in the illustration be­ low. Mean scores of intern teachers and intern consultants on the initiating continuum combining preference and per­ ceived actual intern consultant method of operation are presented in Illustration 4.11. Inspection of the confidence interval indicates the mean for consultants was higher than the mean for intern teachers. The mean scores for both interns and consultants were weighted toward the intern initiates end of the continuum. The interval between in­ tern and consultant mean scores was large. This indicates that intern consultants preferred to allow intern teachers to initiate action toward the solution of the problem situa­ tions presented on the Intern Consultant Inventory. Intern consultants not only preferred this but perceived interns initiating action more frequently than consultant initia­ tion of action. Intern teachers preferred and perceived interns actually initiating the action toward the solution of the problems presented but not to the degree of intern initiating action preferred and perceived by intern consul­ tants . Table 4.20 contains the result of the P test from the analysis of variance for the E.M. (Preferred and Perceived Actual within Repeated Measures of Theoretical, Initiating, 150 ILLUSTRATION 4.11.— Mean Scores of Intern Teachers and Intern Consultants on the Initiating Continuum Combining Preference and Perceived Actual Intern Consultant Method of Operation. Consultant Initiates or Takes Action 1.20# Intern Initiates or Takes Action Interns 5 Consultants 15 25 17.9 19.1 1 .12# Confidence Interval KEY: #1.20 = observed difference in mean scores between Interns and consultants. #1.12 = 95 percent confidence interval of ¥g test. TABLE 4.20.— P Test Result from the Analysis of Variance of Preference and Perceived Actual Theoretical, Initiating, and Directiveness in Intern Con­ sultant Method of Operation. Source of Variation Sums of Squares E.M. (Preferred and Per­ ceived Actual within Repeated Measures) 1204.53 E.M.P. (Preferred and Perceived Actual within Repeated Measures across Paired Interns with Consultant) 214.63 Degrees of Freedom Mean Squares 2 602.27 78 2.75 •Significant at the .05 level of confidence. P Ratio 2 18.88# 151 and Directiveness) and E.M.P. (Preferred and Perceived Actual Within Repeated Measures across Paired Interns with Consultant) first order interaction effects. Differences were found between preference and perceived actual consul­ tant method of operation within the repeated measures In the design of this study. The differences were significant at the .05 level of confidence. The mean scores of preference and perceived actual intern consultant method of operation collapsed across in­ terns and consultants for repeated measures are found in Table 4.21. Differences between means and post-hoc compari­ son test results are also included in this table. Inspec­ tion of the confidence Interval indicates differences between mean scores of preference and perceived actual theoretical orientation and directiveness of intern consultant method of operation. These differences were significant at the .05 level of confidence. Illustration 4.12 presents the first order Interaction effects for E.M. (Preferred and Perceived Actual Intern Con­ sultant method of operation within Repeated Measures) In graph form. The differences between mean scores for theore­ tical and directive intern consultant method of operation are visibly pronounced. 152 TABLE *4.21.— Mean Scores of Preference for and Perceived Actual Theoretical, Initiating, and Directive Intern Consultant Method of Operation, Differ­ ences of Mean Scores, and Post-Hoc Comparison Test Results. Repeated Measures of Intern Consultant Method of Operation Categories Theoretical Initiating 18.*4 18.7 13.8 15.** 18.2 18.5 Preference Directiveness Ei Perceived Actual E2 Differences of Mean Scores 3.0* .5 - 4.7* A Tested by ¥g = 1.11, ^Significant at the confidence. .05 level of 153 ILLUSTRATION 4.12.— First Order Interaction Effects for Preference for and Perceived Actual Theoretical, Initiating, and Directive Intern Consultant Method of Operation. Combined Mean Scores for Interns and Consultants 20.0 •• 19-5 19.0 -■ 18.5 -- E 2 Per­ 18.0 ceived Actual -- 17.5 -• 17.0 ■- 16.5 " 16.0 -• 15.5 15.0 ■■ M^ = Theoretical 14.5 -M^ = Initiative 14.0 M^ = Directive Pre­ 13-5 - ference ^Significant at the .05 level of confidence. M 154 Mean scores of preference for and perceived actual theoretical intern consultant method of operation are pre­ sented on the theoretical-practical continuum in Illustration 4.13. Low mean scores on the continuum indicate a theoreti­ cal orientation while high mean scores characterize a practi­ cal approach in consultant method of operation. Together, interns and consultants preferred a more practical approach in intern consultant method of operation but they reported they actually perceived a more theoretical approach. This difference in mean scores was significant at the .05 level of confidence. Finally, both mean scores, preference for and perceived actual, tended toward the practical end of the continuum indicating both a preference for and a perceived actual practicalness in intern consultant method of operation. ILLUSTRATION 4.13.— Mean Scores of Preference for and Perceived Actual Theoretical Intern Consultant Method of Operation on the Theoretical-Practical Continuum. Theoretical 3*00# Practical > ----------- ^ ----------- s Perceived A d :ual 5 Preferred 15 25 15.4 18.4 1 .11 * Confidence Interval KEY: *3.00 ■ observed difference between mean scores of preferred and perceived actual. ^ *1.11 * 95 percent confidence interval of ¥g test. 155 Mean scores of preference for and perceived actual directiveness In intern consultant method of operation are presented on the direct-indirect continuum in Illustration 4.14. Low mean scores on the continuum indicate directive intern consultant method of operation and high mean scores depict indirect intern consultant method of operation. Both interns and consultants indicated they preferred directive­ ness in consultant method of operation. They wanted intern consultants to prescribe, insist on specific steps for the intern to take, or the consultant should tell the intern how to solve the problems presented, at least to a greater degree than they perceived the consultants' most likely method of operation. Both interns and consultants perceived the consultants’ most likely behavior as being Indirective; that is, allowing the intern to identify procedures while the consultant asks questions to sharpen the focus upon the problem and alternative solutions but the intern would decide how to solve the problem presented. In Table 4.22 the P test result from the analysis of variance for the T.E.M. second order interaction effect is presented. Interns and consultants expressed preference and perceived actual consultant method of operation Inter­ acted. This interaction effect was significant at the .05 level of confidence. A rank order of the mean scores for these variables Is presented in table form to clarify the meaning of this interaction effect. 156 ILLUSTRATION 4,14.— Mean Scores of Preference for and Perceived Actual Directive Intern Consultant Method of Operation on the Direct-Indirect Continuum. Direct Indirect 4.70* Preferred 5 Perceived Actual 15 25 13 .8 18.5 1 .11* Confidence Interval KEY: *4.70 * 1.11 observed difference in mean scores between preferred and perceived actual. 95 percent confidence interval of Vg test. TABLE 4.22.— P Test Result from the Analysis of Variance for Interns and Consultants Preference for and Per­ ceived Actual Intern Consultant Method of Operation. Source of Variation Sums of Squares TEM. (Interns and Con­ sultants and pre­ ference and per­ ceived actual consultant method of operation) 99.60 TEMP. (Interns and Con­ sultants and prefer­ ence and perceived actual consultant method of operation and paired interns with consultant) 194.80 *Significant at the Degrees of Freedom Mean Squares 2 49. 80 78 2.50 .05 level of confidence • P Ratio 19.94* 157 The rank order of Interns and consultants preference for and perceived actual intern consultant method of opera­ tion is presented in Table 4.23. The significant (at the .05 level of confidence) second order interaction effect may be interpreted by the presentation of data in Table 4.23. Interns expressed preference for consultant method of opera­ tion that was: (1) practical, (2) allowed the intern to initiate action toward the solution of problems, and (3) directive. However, interns perceived the consultant method of operation as actually: (1) indirective, (2) allowing interns to initiate action, and (3) practical in orientation. On the other hand, intern consultants preferred to: allow interns to initiate action to solve problems, (1) (2) be practical in dealing with intern's problems, and (3) be directive in working with interns. themselves as being actually: Consultants perceived (1) indirective, (2) allowing for intern initiative, and (3) theoretical in orientation. TABLE *1.23.— Rank Order of Interns and Consultants Preference for and Perceived Actual Intern Consultant Method of Operation. Rank O rder Perceived Actual Preference Intern Consultant Intern Teacher Method of Operation Mean Score Meth o d of Operation Mean Score Intern Teacher Method of Operation Intern Consultant Mean Score M e t h o d of Operation Me a n Score 1 Practicalness (Mj) 18.2 Intern Initia^ tive (M2 ) 19. Ji Indirective­ ness (M^) 18.2 Indi r e c t i v e ­ ness (M^) 18.8 2 Intern Intiative (Mg) 18.1 Practicalness (Mx ) 18.6 Intern I n i t i a ­ tive (m 2 ) 17.7 Intern Initia­ tive (Mg) 18.7 Directiveness (M3 > 1*1.7 Directiveness 13.0 Practicalness (Mx ) 1 6 .*4 3 Theoretical­ ness (M^) 1*1.5 o • •p - Hie consultant aids the intern to inventory the intern's class to determine interests, problems, s trengths, self-concepts, and attitudes. B C B Occurs yearly C Occurs monthly D Definitely not preferred behavior 41. A Never occurs D Occurs weekly E Very highly preferred behavior E Occurs daily The consultant provides evaluations for the intern that promote self direction. 42. 43. A Definitely not preferred behavior A Never occurs B B Occurs yearly C C Occurs monthly D D OcCTirs veekly E Very highly preferred behavior E Occurs daily The consultant follows the classroom observation with a written critique of the intern's teaching. 44. 45. A Definitely not preferred behavior A Never occurs B B Occurs yearly C C Occurs monthly D D Occurs weekly E Very highly preferred behavior E Occurs daily The consultant helps the intern to diagnose individual and class learning difficulties. 46. 47. A Definitely not preferred behavior A Never occurs B B Occurs yearly C C Occurs monthly D D Occurs weekly E Very highly preferred behavior E Occurs daily The consultant encourages the intern to establish and maintain a daily, weekly, monthly, yearly schedule. 48. 49. A Definitely not preferred behavior A Never occurs B B Occurs yearly C C Occurs monthly D D Occurs weekly E Very highly preferred behavior E Occurs daily INTERN REACTIONNAIRE - Part II INSTRUCTIONS On the following pages, you will find six different classroom problem situations to which you are asked to respond. Read each problem situation carefully. Each problem situation is followed by six different reaction scales. scales. Please respond to each of the six After carefully reading a problem situation, select the letter on each scale which is your best estimate or appraisal. On the answer sheet fill in the space that corresponds with your selection for each numbered scale. EXAMPLE Assume it is the beginning of the school year, you are experiencing difficulty in attending to the needs of several reading groups simultaneously, . . . in short you lack organization. IF THIS PROBLEM OCCURRED: 96) 97) How would your consultant most likely behave? A B O D E THEORETICAL ----------------------------------------- — ---- PRACTICAL What consultant behavior A B O D E would you prefer? Tends to examine Tends to suggest underlying educarional particular procedures theory before considerwhich have worked in ing specific action. the past. For the example numbered 96 above, select a letter on the continuum and mark that letter on the answer sheet. Follow the same procedure for each of the five other scales under each problem situation. SITUATION ONE Assume as an intern you feel that you are weak in diagnosing a pupil's learning difficulty. You wish to diagnose the pupil's difficulty in arithmetic and plan specific lessons on which will strengthen the pupil's learning weakness. IF THIS PROBLEM OCCURRED: 50. 51. 52. 53. 54. How would your consultant A most likely behave? THEORETICAL What consultant behavior A would you prefer? Tends to examine underlying educational theory before considering specific action. How would your consultant A most likely behave? CONSULTANT A What consultant behavior would you prefer? Consultant takes necessary action. How would your consultant most likely behave? B PRACTICAL B E Tends to suggest particular procedures which have worked in the past B E B E INTERN Intern takes necessary action. B INDIRECT DIRECT 55. What consultant behavior A would you prefer? Consultant prescribes; insists on specific steps; tells intern. B E During discussion, intern identifies procedures; consultant asks questions. SITUATION TWO Assume as an intern you feel something is wrong with the pacing of your lessons during the school day. There is a lull in the middle of the afternoon. Your intern consultant agrees with this analysis. IF THIS PROBLEM OCCURRED: 56. How would your consultant most likely behave? B E PRACTICAL THEORETICAL 57. 58. What consultant behavior A would you prefer? Tends to examine underlying educational theory before considering specific action. How would your consultant most likely behave? B Tends to suggest particular procedures which have worked in the past. B INTERN CONSULTANT 59. 60. 61. A What consultant behavior would you prefer? Consultant takes necessary action. How would your consultant most likely behave? DIRECT What consultant behavior A would you prefer? Consultant prescribes; insists on specific steps; tells intern. B E Intern takes necessary action. B INDIRECT B During discussion, intern identifies procedures; consultant asks questions. SITUATION THREE Assume as an intern you are teaching a science unit to your class. helping children to understand a particular concept. You are experiencing difficulty in IF THIS PROBLEM OCCURRED: 62. 63. 64. How vould your consultant most likely behave? A B C D E THEORETICAL_____________________________________________________ PRACTICAL C E B D What consultant behavior A would you prefer? Tends to suggest Tends to examine underlying particular procedures educational theory before which have worked in the considering specific action. past. How vould your consultant most likely behave? A B C D E TNTF.RN nflNSTTT.T^NT . _ 65. 66. 67. What consultant behavior A vould you prefer? Consultant takes necessary action. How vould your consultant most likely behave? A DIRECT -----------What consultant behavior A vould you prefer? Consultant prescribes; insists on specific steps; tells intern. B C D E Intern takes necessary action. B C D B C D E ----------- INDIRECT E During discussion, intern identifies procedures; consultant asks questions. situation f ou r Assume that you and your intern consultant have just watch a video-tape replay of a lesson you taught. In this particular lesson you planned to involve pupils actively. Your directions to pupils were not as clear and concise as you had hoped. IF THIS PROBLEM OCCURRED: 68. Hav would your consultant most likely behave? A B E PRACTICAL THEORETICAL 69. 70. 71. 72. 73. What consultant behavior A vould you prefer? Tends to examine underlying educational theory before considering specific action. How would your consultant most likely behave? CONSULTANT A What consultant behavior would you prefer? Consultant takes necessary action. How vould your consultant most likely behave? DIRECT What consultant behavior A vould you prefer? Consultant prescribes; insists on specific steps; tells Intern. B E Tends to suggest particular procedures which have worked in the past. B E INTERN B E Intern takes necessary action. B INDIRECT B E During discussion, intern identifies procedures; consul tent ssks questions.. SITUATION FIVE Assume that within your intern teaching situation there is not a written or "set" policy related to the rentention of students. However, only on rare occasions have pupils been retained. You believe a particular pupil is emotionally, socially, and intellectually incapable of suceeding in the next grade and therefore wish to retain the pupil. Your principal maintains that the pupil should not be retained. There is obvious conflict. IF THIS PROBLEM OCCURRED: 74. 75. 76. How would your consultant most likely behave? A THEORETICAL What consultant behavior A would you prefer? Tends to examine underlying educational theory before considering specific action. How would your consultant most likely behave? A B E PRACTICAL B Tends to suggest particular procedures which have worked in the past B INTERN CONSULTANT 77. 78. 79. What consultant behavior A would you prefer? Consultant takes necessary action. How would your consultant most likely behave? A DIRECT What consultant behavior A would you prefer? Consultant prescribes; insists on specific steps; tells intern. B Intern takes necessary action. B INDIRECT B E During discussion, intern identifies procedures; consultant asks questions. Dear Intern - Intern Consultant: Your cooperation is requested in our attempts to conduct E.I.P. research. Your participation in this program during this school year has provided you vith unique experiences. Your responses to this instru­ ment will enable us to draw conclusions and make generalizations about E.I.P. which we could not do without your involvement. We appreciate your cooperation and participation in this pro­ ject. We will be pleased to send you a summary of the reaction results if you desire. The success of this inquiry is wholly dependent upon your completing the entire questionnaire. All Information will be held in the strictest confidence and will not be reported either by individuals or by centers. Thank you very much for your help. Sincerely, Gerald Inman Thomas Fitch Former Intern Consultants INTERN CONSULTANT REACTIONNAIR - Part I INSTRUCTIONS: On the following pages, you will find a number of descriptive statements of intern consultant behaviors. Read each statement carefully. Below each descriptive statement are two scales. Please respond to each scale. The first response, under each descriptive statement, will allow you to indicate whether or not you prefer that particular consultant behavior. The second response scale, under each descriptive statement, will allow you to indicate the frequency of occurrance of that specific behavior. EXAMPLE: Descriptive statement - - The consultant encourpges the intern to be consistati regarding pupils behavior and academic standards. 94)_____ A____________ B__________ C____________D___________ E Definitely Very highly not preferred preferred behavior behavior 95) A ____________ B__________ C___________ _D__________ E Never Occurs Occurs Occurs Occurs occurs yearly monthly weekly daily After carefully reading the statement, sAlect the letter on the first scale that most closely approximates your feeling of preference. On the answer sheet mark the letter that corresponds with your selection for each numbered scale. Please respond to each item as you would most likely behave. The consultant helps the Intern Interpret information within the child's cumulative records. 2. ______ A____________ B___________ C___________ D___________ E__________ Very highly Definitely preferred behavior not preferred behavior 3. A Never occurs B Occurs yearly C Occurs monthly D Occurs weekly E Occurs daily The consultant helps the intern plan and set behavioral goals for instructional experiences. 4. 5. A Definitely not preferred behavior A Never occurs B C B Occurs yearly C Occurs monthly D D Occurs weekly E Very highly preferred behavior E Occurs daily The consultant suggest various seating arrangements for alternating traffic flow, group project work space, and distribution of materials. 6. A Definitely not preferred behavior 7. A Never occurs B B Occurs yearly C C Occurs monthly D D Occurs weekly E Very highly preferred behavior E Occurs daily The consultant aids the intern to organize for future events (school calendar holidays, parent conferences). 8. 9. A Definitely not preferred behavior A Never occurs B C B Occurs yearly C Occurs monthly D D Occurs weekly E Very highly preferred behavior E Occurs daily - 2 • The consultant uses questions which subtly point out the intern's teaching weakness. 10. 11. A Definitely not preferred behavior A Never occurs B C D E Very Highly preferred behavior B Occurs yearly C Occurs monthly D Occurs weekly E Occurs daily The consultant helps the intern realize that a child's ability to learc is closely related to the child's self concept. 12. 13. A Definitely not preferred behavior A Never occurs B B Occurs yearly C C Occurs monthly D D Occurs weekly E Very Highly preferred behavior E Occurs daily The consultant provides the intern with new ideas for lessons and units. 14. 15. A Definitely not preferred behavior A Never occurs B B Occurs yearly C C Occurs monthly D D Occurs weekly E Very Highly preferred behavior E Occurs daily The consultant helps the intern locate and select appropriate instructional materials. 16. 17. A Definitely not preferred behavior A Never occurs B B Occurs yearly C C Occurs monthly D D Occurs weekly E Very Highly preferred behavior E Occurs daily The consultant helps the Intern select learning materials specifically for particular pupil's needs. 18. 19. A____________ B___________ C___________ D___________ E Definitely Very highly not preferred preferred behavior behavior A Never occurs B Occurs yearly C Occurs monthly D Occurs weekly E Occurs daily The consultant is available, on-call, to the intern after the normal school day. 20. 21. A Definitely not preferred behavior A Never occurs B B Occurs yearly C C Occurs monthly D D Occurs weekly E Very highly preferred behavior E Occur8 daily The consultant urges the intern to give continued attention to ventilation, lighting, seating, and other physical conditions within the intern's class­ room. 22. 23. A Definitely not preferred behavior A Never occurs B B Occurs yearly C C Occurs monthly D D Occurs weekly E Very highly preferred behavior E Occurs daily The consultant encourages the intern to adjust his teaching to the inte' maturity, and experiential background of the learner. 24. 25. A Definitely not preferred behavior A Never occurs B B Occurs yearly C C Occurs monthly D D Occurs weekly E Very highly preferred behavior E Occurs daily The consultant helps the intern to interpret a child's standarised test results. 26. 27. A____________B___________ C___________D___________ E Very highly Definitely not preferred preferred behavior behavior A Never occurs B Occurs yearly C Occurs monthly D Occurs weekly E Occur8 daily The consultant aids the Intern to develop within a framework of professional autonomy and freedom. 28. 29. A Definitely not preferred behavior A Never occurs B B Occurs yearly C C Occurs monthly D D Occurs weekly E Very highly preferred behavior E Occurs daily The consultant builds up the intern's ego by emphasising the intern'8 personal and professional strengths. 30. 31. A Definitely not preferred behavior A Never occurs B B Occurs yearly C C Occurs monthly D D Occurs weekly E Very highly preferred behavior E Occurs daily After demonstrating it teaching technique the consultant discusses and analyses that method with the intern. 32. 33. A Definitely not preferred behavior A Never occurs B B Occurs yearly C C Occurs monthly D D Occurs weekly E Very highly preferred behavior E Occurs daily - 5 - The consultant points out examples of child growth and development to the intern within the intern's classroom. 34. 35. _______A _____________ B__________C_________ D___________ E________ Very highly Definitely preferred not preferred A Never occurs B Occurs yearly C Occurs monthly D Occurs weekly E Occurs dally The consultant shares with the intern a very close and "open" relationship where each says what they really feel. 36. 37. A Definitely not preferred behavior A Never occurs B C B Occurs yearly C Occurs monthly D D Occurs weekly E Very highly preferred behavior E Occurs daily The consultant recommends specific methods of teaching for the intern's implementation. 38. 39. A Definitely not preferred behavior A Never occurs B C B Occurs yearly C Occurs monthly D D Occurs weekly E Very highly preferred behavior E Occurs dally The consultant aids the intern to inventory the intern's class to determine interests, problems, strengths, self-concepts, and attitudes. 40. 41. A Definitely not preferred behavior A Never occurs B C B Occurs yearly C Occurs monthly D D Occurs weekly E Very highly preferred behavior E Occurs daily The consultant provides evaluations for the Intern that promote self direction. 42. 43. A ____________ B___________ C___________ D___________ E Definitely Very highly not preferred preferred behavior behavior A Never occurs B Occurs yearly C Occurs monthly D Occurs weekly E Occurs daily The consultant followst the classroom observation with a written critique intern's teaching. 44. 45. A Definitely not preferred behavior A Never occurs B B Occurs yearly C C Occurs monthly D D Occurs weekly E Very highly preferred behavior E Occurs daily The consultant helps the intern to diagnose individual and class learning difficulties. 46. E Very highly preferred behavior B Definitely not preferred behavior 47. Never occurs B Occurs yearly Occurs monthly Occurs weekly Occurs daily The consultant encourages the intern to establish and maintain a daily, weekly, monthly, yearly schedule. 48. A___________ B____________C___________ D___________ E_______ Definitely not preferred behavior 49.__ Very highly preferred behavior A___________ B____________C___________ D___________ E_______ Never occurs Occurs yearly Occurs monthly Occurs weekly Occurs daily CONSULTANT REACTIONNAIRE - Part II INSTRUCTIONS 1. On the following pages, you will find six different problem situations similar to those encountered by your intern teacher. 2. Read each problem situation carefully. 3. Each problem situation is followed by six differentreaction scales. Please respond to each of the six scales. 4. After carefully reading a problem situation, select the letter on each scale vhich is your best estimate or appraisal.On the answer sheet fill in the space that corresponds with your selection for each numbered scale. EXAMPLE Assume it is the beginning of the school year, your intern is experiencing difficulty in attending to the needs of several reading groups simultaneously, . . . in short the intern lacks organization. IF THIS PROBLEM OCCURRED WHAT WOULD BE YOUR: 96) Most likely behavior THEORETICAL, 97) Preferred behavior Tend to examine underlying educa­ tional theory be­ fore considering specific action. B E PRACTICAL B During discussion, intern identifies procedures; sonsultant asks questions 5. For the example numbered 96 above, select a letter on the continuum and mark that letter on the answer sheet. 6. Follow the same procedure for each of the five other scales under each problem situation. SITUATION TWO Assume your intern feels that something is wrong with the pacing of the intern’s lessons during the school day. There is a lull in the middle of the afternoon. You agree with this analysis. IF THIS PROBLEM OCCURRED WHAT WOULD BE YOUR: 56. B Most likely behavior E PRACTICAL THEORETICAL 57. 58. Preferred behavior A Tend to examine underlying educational theory before considering specific action. B Tend to suggest particular procedures which have worked in the past. B Most likely behavior INTERN CONSULTANT 59. B Preferred behavior 60. B Most likely behavior INDIRECT DIRECT 61. Preferred behavior E I n t e r n ta k e s n e c e s s a ry a c tio n . Consultant takes necessary action. A Consultant prescribes; in­ sists on specific steps; tells intern. B During discussion, intern identifies procedures; consultant asks questions. SITUATION ONE Assume your intern feels weak in diagnosing a pupil learning difficulty. The intern wishes to diagnose the pupil's difficulty in arithmetic and plan specific lessons which will strengthen the pupil's identified learning weakness. IF THIS PROBLEM OCCURRED WHAT WOULD BE YOUR: 50. E B Most likely behavior PRACTICAL THEORETICAL 51. Preferred behavior 52. Most likely behavior 53. Preferred behavior 54. Most likely behavior A Tend to examine underlying educational theory before considering specific action. B Tend to suggest particular procedures which have worked in the past. A B O D E CONSULTANT --------------------------------------------------- INTERN A B C D E Consultant takes necessary Intern takes necessary action. action. B INDIRECT DIRECT 55. Preferred behavior A Consultant prescribes; in­ sists on specific steps; tells intern. B D E During discussion, intern identifies procedures; consultant asks questions. SITUATION THREE .Assume your intern is teaching a science unit to the class. helping children to understand a particular concept. The intern is experiencing difficulty in IF THIS PROBLEM OCCURRED WHAT WOULD BE YOUR: 62. B Most likely behavior E PRACTICAL THEORETICAL 63. B Preferred behavior Tend to suggest particular procedures which have worked in the past. Tend to examine underlying educational theory before considering specific action. 64. Most likely behavior 65. Preferred behavior 66. Most likely behavior 67. Preferred behavior A B C D E CONSULTANT------------------------------------------------------- INTERN A B C D E Consultant takes necessary Intern takes necessary action. action. E B DIRECT A Consultant prescribes; in­ sists bn specific steps; tells intern. B D INDIRECT E During discussion, intern identifies procedures; consultant asks questions. SITUATION FOUR Assume that you and your intern have just watched a video tape replay of a lesson taught by your intern. In this particular lesson your intern planned to actively involve the pupil's. The intern's directions to the pupils were not as clear and concise as the intern had planned. IF THIS PROBLEM OCCURRED WHAT WOULD BE YOUR: 68. B Most likely behavior E PRACTICAL THEORETICAL 69. Preferred behavior 70. Most likely behavior 71. Preferred behavior 72. Most likely behavior 73. Preferred behavior A Tend to examine underlying educational theory before considering specific action. B Tend to suggest particular procedures which have worked in the past. A B C D E CONSULTANT----------------------------------------------------- INTERN A B C D E Consultant takes necessary Intern takes necessary action. action. A B DIRECT A Consultant prescribes; in­ sists on specific steps; tells intern. B E INDIRECT E During discussion, intern identifies procedures; consultant asks questions SITUATION FIVE Assume that within your intern's teaching situation there is not a written or "set" policy related to the retention of students. However, only on rare occasions have pupils been retained. Your intern believes a particular pupil is emotionally, socially and intellectually incapable of suceeding in the next grade and therefore wishes to retain the pupil. The principal maintains that the pupil should not be retained. There is obvious conflict. IF THIS PROBLEM OCCURRED WHAT WOULD BE YOUR: 74. A Most likely behavior B C D E PRACTICAL T n iu n D P n n T A T 75. Preferred behavior 76. Most likely behavior A Tend to examine underlying educational theory before considering specific action. A B C D B C D Preferred behavior A B C D Consultant takes necessary action. 78. Preferred behavior E Intern takes necessary action. B Most likely behavior INDIRECT DIRECT 79. E INTERN P r t X T O T T T O l A M 'T 77. E Tend to suggest particular procedures which have worked in the past. A Consultant prescribes; in­ sists on specific steps; tells intern. B D E During discussion, intern identifies procedures; consultant asks questions. FIRST COURSE IflSE NAME. .SEX || S T U D E N T NO. DATE. MIDDLE M | usr STUDENT NO.. 0 2 3 NUMBER 4 -J ..f .. 2_ 3_ 4 I 2 3 4 o -J__ 3 4 MARKS HEAVY ARE AND BLACK o I 2 3 4 o I 2 3 4 || 8 9 3 : 6 : ::::: 3 : ; : ::r 3 : ::::: 5 : 3: ::::: 3 : ::::: 3 : ::::: 5 : 6 : >====: 10 = 6 2 ::::: 3 ::::: 0: ===== 1 0 : 8 2 ::::: 3 ::::: 8 :=== = 8 := ::: 0: : : : 9 : : : : : 10 : 4 2 ===== 3 ::::: 0 3 ::::: 8 :::== 8 = = ::: 0 ===== 0 = ===== 10: 10 2 3 ::::: 3===== 8 ===== B: ===== 10: 12 2 ::::: 3 ===== 3 ==== = 8 ===== »:=:== 10 = 14 2 ::::: 3 ::::: 8==::= 8 ===== ----- 10::::: 9 ===== 1 0 : 16 2 ::::: 3 ==== = S ===== 0 ===== : : : : : 10 : : : : : 8: 8: :== 3: ::::: 3 : 6 : 8 =:= 9===== 1 0 : 18 2 3 ===== 3 ===== 6 ==== = ::::: 3 : ::::: 5 : 6 : 8: ===== 1 0 : 2 ::::: 3 ::::: 8 8 ::::: ::::: 3 : ::::: 8 : 0 = 8= ===== 1 0 : 2 ::::: 3 :::" 3 ===== ::::: 3 : 6 : 0= === == 10: 2 := ;:: 3 8===== 6 ===== ::::: = = = ::: 8 : 0: 6: ::: 10 : ::::= 8 : 6 = :== 10 : ::::: 9 : 6: :== » : 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 50 52 54 56 58 60 62 64 66 ===== 3 : • : ===== K) : 3: 6: 6: 6= 8 : 6 : 8 : ===== 10 = 3: ::::: 9 : ::::: 3 : ::::: 3 : ::::: 3 : ::::: ::::: 3 : 8= 8= 0: ===== 10 : ===== 1 0 : ===== 1 0 : ::::: 3 : ::::: 5 : 6: ::::: 3 : == === 3 : 6 = 8= 0= ===== 10 : ::::: 3 : ===== 5: 6 = 8 : ===== 10: ::::: 3 : ::::: 3 : 8: 8 = ===== 10 = ::::: 3 : === == 9 : 6 = 8 = ===== 10 : ::::: 3 : ::::: 8 : 6: 0: ===== 10 = ::::: 3 : ===== 9 : 6 : ===== 10 : ::::: 3 : ::::: 8 : 6 = ===== 10 = - ===== 10 = 8 : 6 ===== 10 = ::::: S : 8: 0= ===== 10 : ::::: 3 : 6 : ===== 10 = ===== 9 : e : ::= 10 = 8 : ::::: 8 : 0: 0: 5 ===== 2 : : “ *. 3 : : : : : 9 ===== 2 ::::: 3 ::::: 3 === = = 2 ::::: 3 ::::: 9 = == = = 2 ::::: 3 ;::= : 3 === == 2 ::::: 3 ::::: 8:==:: 2 ;:::: 0 ===== S ===== 2 ::::: 3 ::::: 5 = ==== 2 ::::: 3 ::::: 3 ===== 2 ::::: 3 ::::: 3 ===== 2 3 ::::: 3 ===== : : : : : 10 2 ::::: 3 == === 9 ::::: : : : : : 10==” : 2 ::::: 3 ::::: 3 ===== : : : : : 10 : : : : : 8===== : : : : : 10 2 ::::: 3 ::::: : : : : : 10 ===:: 10 3 ===== = : ::: 2 ::::: 3 ::::: 3 ===== : : : : : K> : : : : : 2 ::::: 3 ::==: 3 ===== 68 2 ::::: 3 ::::: 3 ::= = : :== 10 = 70 2 ::::: 3 ::::: 3 ===== =::=:10 :=:==10""= ;==::10::::: ===== 10 : 72 74 76 2 3 ===== : : : : : 10 == =:: 2 ::::: 3 ::::: 8===== :::::10::::: 2 ::=:: 3 =:::: 3 ===== : : : : : fO : : : : : 2 ::::: 3 ::::: 3 ===== :::::10::::: 2 ::::: 3 ::::: 9 ::::: : : : : : IO : : : : : 2 ::::: 3 ::::: : : : : : K> : : : : : ===== 10 = 82 84 8===== 2 ::::: 3 ::::: 0 = :::: : :: : : K> : : : : : ::= 10 = 86 t ::::: 3 ::::: 3 :::::10::::: =====10 = = ==== 3 ::::: 2 ::::: 3 ::::: 6 : 6 : Zzzzzz : : : : : 10 : : : : : ===== 8 = := ::: 3 : 8 := = : = == === ::::: 1 0 ::::: :=::= to = 8 : 8 3 ===== « : : 3 ===== 3 ::::: 3 ===== := ::= 8 : 8 3 ::::: 2 ::::: 2 ::::: 3 ::::: ===== 3 : ===== 2 ::::: 8 ===== 2 ::::: 3 ::::: :== 10 : 6= 6= 6: 6= = = ::: 9 : 0 ===== ■ i i ■ i ::::: 8 = === 10 = = = === i i ::::: 3 : :::::10===== I I | = 2 ::::: I I I I I | 6 : ::::: 3 : ::::: 5= 2 l I l I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I | 3 : ::::: 8=:::= 8::::: 8=:=== 8 = === 9 ===== 1 0 : ===== K> : ===== »0 = =: ; : : » : 78 80 3 ::::: ===== l l l 3 : 8: 8= 6: 6: ::::: 3 = 3: « : CHANGED l := = :: 3 : ANSWER l l l 3: ANY i i I i ::::: COMPLETELY i i i i i ERASE | | YOUR I 0_ FORM. HIE OF T E S T . 3E SURE o | | .INSTRUCTOR. :TI0N. | | | | w _l__ M l ME M MICHIGAN STATE UNIVERSITY APPENDIX C PART A 1. Item Intercorrelation Matrix for Test A* Preference for Selected Intern Consultant Tasks, for Intern Teachers' Responses. 2. Item Intercorrelation Matrix for Test A, Preference for Selected Intern Consultant Tasks, for Intern Consultants' Responses. 3. Item Intercorrelation Matrix for Test A, Frequency of Occurrence for Selected Intern Consultant Tasks, for Intern T e a c h e r s ' Responses. 4. Item Intercorrelation Matrix for Test A, Frequency of Occurrence for Selected Intern Consultant Tasks, for Intern Consultant's Responses. PART B 1. Item Intercorrelation Matrix for Test B, Preference for Intern Consultant Method of Operation, for Intern Teachers' Responses. 2. Item Intercorrelation Matrix for Test B, Preference for Intern Consultant Method of Operation, for Intern Consultants' Responses. 3. Item Intercorrelation Matrix for Test B, Perceived Likely Intern Consultant Method of Operation, for Intern Teachers * Responses. 4. Item Intercorrelation Matrix for Test B, Perceived Likely Intern Consultant Method of Operation, for Intern Consultants' Responses. ' 216 ITEM INTERCORRELATION MATRIX FOR TEST A, PREFERENCE FOR SELECTED INTERN CONSULTANT TASKS, FOR INTERN TEACHERS' RESPONSES I 1.00 2 .22 1.00 3 .30 .13 1.00 4 .30 .15 .40 1.00 5 .21 .06 .33 .19 1.00 6 .18 .11 .23 .24 1.00 7 .30 .03 .43 .38 .43 .33 1.00 8 .10 .23 .23 .26 .26 .40 .35 1.00 9 .41 .29 .26 .32 .30 .28 .25 .36 1.00 10 .31 .17 .24 .21 .13 .43 .33 .32 .23 1.00 11 .16 .23 .18 .06 .23 .42 .21 .35 .24 .43 1.00 12 .36 .16 .27 .35 .20 .22 .34 .31 .33 .27 .16 1.00 13 .17 .35 .23 .10 .13 .09 .17 .31 .23 .16 .14 .19 1.00 14 .03 .17 .20 .14 .13 .29 .19 .24 .17 .11 .20 .17 .36 1.00 15 .23 .12 .25 .34 .26 .29 .38 .45 .24 .45 .33 .35 .31 .20 1.00 16 .23 .34 .20 .32 .21 .43 .35 .49 .31 .48 .30 .21 .38 .23 .52 1.00 17 .16 .02 .22 .16 .00 .16 .24 .16 ' .09 .13 .16 .23 .04 .17 -.03 .02 1.00 13 .35 .09 .25 .34 .14 .22 .32 .30 .25 .14 .09 .37 .20 .27 .22 .21 .19 1.00 19 .16 .21 .22 .35 .19 .28 .20 .42 .34 .30 .31 .19 .26 .34 .41 .45 .16 .22 1.00 20 .25 .11 .24 .39 .11 .20 .27 .27 .42 .13 .05 .45 .24 .24 .15 .25 .16 .34 .43 1.00 21 .22 .14 .17 .12 .15 .22 .31 .19 .15 .34 -.01 .22 .22 .35 .19 .20 .20 .16 .13 .10 .24 .30 .24 .13 .12 .08 .11 .20 .13 .07 .25 .13 .25 .09 .08 .13 .29 .03 .23 .04 .15 .16 1.00 1.00 23 .14 .35 .31 .30 .27 .22 .31 .40 .25 .29 .36 .24 .32 .29 .24 .33 .20 .17 .36 .24 .25 .39 1.00 24 .18 .19 .12 .i4 .17 .44 .20 .33 .15 .32 .42 .29 15 .27 .24 .44 .13 .25 .3-3 .21 .07 .23 .30 1.00 217 r 1 2 3 4 5 6 7 3 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 ITEM INTERCORRELATION MATRIX FOR TEST A, PREFERENCE FOR SELECTED INTERN CONSULTANT TASKS, FOR INTERN CONSULTANTS' RESPONSES r 1 1 1.00 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 2 .47 1.00 3 .38 .60 1.00 A -.25 .08 .26 1.00 5 -.21 .04 .09 -.06 1.00 6 .13 .16 .34 .03 .13 1.00 7 .22 .40 .58 .02 .24 .10 1.00 8 .17 .42 .54 .12 .27 .32 .29 1.00 9 .38 .62 .45 -.03 .22 .18 .42 .28 1.00 10 11 12 13 14 15 16 17 18 19 20 .29 .33 .25 .42 .16 .38 .24 .24 .40 1.00 .12 .41 .36 .13 .17 .43 .26 .44 .46 .27 1.00 .37 .20 .36 .32 -.01 .22 .22 .17 .03 .37 .15 1.00 .12 .24 .05 -.18 .25 -.10 .02 .01 .29 .00 .22 -.16 1.00 .37 .19 .45 -.10 -.02 .39 .27 .27 .36 .06 .37 -.03 .22 1.00 .23 .13 .27 -.12 .47 .25 .23 .32 .53 .32 .39 .25 .21 .26 1.00 .08 .32 .20 .09 .17 .27 .26 .40 .37 .25 . 61 .00 .05 .10 .20 1.00 .14 -.01 -.04 -.11 -.19 .01 -.09 .09 -.16 -.03 .20 .17 .23 -.04 -.04 .19 1.00 .27 .11 .19 -.03 .14 .08 .22 .16 .16 .19 -.06 .13 .03 .04 .14 .12 .13 1.00 .13 .12 .09 .02 .17 .27 .02 .37 .28 .20 .63 .14 .19 .31 .46 .55 .12 .08 1.00 .00 -.03 .20 .41 -.29 .09 .10 .08 -.05 .20 .04 .19 -.09 .24 -.06 -.13 .11 -.28 .03 1.00 21 22 23 24________ -.07 .23 -.19 .36 .18 .16 .01 .07 -.02 .40 .06 .26 -.07 -.01 .36 .14 .51 .33 .24 -.15 .04 .17 .23 .02 .03 .22 .15 .15 .03 .35 .14 .26 .41 .20 -.04 .11 .20 .22 .37 .31 .. .34 .01 .06 .01 .03 .25 .07 .41 oo .58 .33 -.05 .02 .14 .21 -.03 .08 .53 .49 -.00 .20 .20 -.11 .05 .03 .00 .02 -.17 .01 .09 .54 -.01 .15 .34 .10 .14 .00 -.10 -.13 .07 .03 1.00 .39 -.13 -.09 1.00 .07 .23 1.00 .20 1.00 ITEM INTERCORRELATION MATRIX FOR TEST A, FREQUENCY OF OCCURRENCE FOR SELECTED INTERN CONSULTANT TASKS, FOR INTERN TEACHERS' RESPONSES r 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 I 1.00 2 .41 1.00 3 .27 .31 1.00 4 .36 .35 .32 1.00 5 .34 .22 .41 .28 1.00 6 .31 .36 .29 .35 .36 1.00 7 .32 .29 .43 .33 .45 .46 1.00 8 .22 .33 .26 .37 .36 .39 .32 1.00 9 .39 .41 .31 .31 .45 .42 .33 .47 1.00 10 II 12 13 14 15 16 17 18 19 20 21 .44 .43 .42 .43 .41 .56 .49 .43 .47 1.00 .23 .43 .30 .41 .33 .60 .37 .41 .39 .55 1.00 .38 .32 .31 .56 .24 .31 .44 .42 .35 .41 .39 1.00 .23 .42 .39 .17 .40 .30 .26 .33 .44 .40 .28 .21 1.00 .10 .34 .33 .20 .21 .37 .34 .30 .22 .36 .42 .25 .43 1.00 .33 .30 .30 .46 .43 .49 .43 .58 .40 .45 .44 .51 .36 .23 1.00 .35 .37 .30 .39 .42 .45 .40 .56 .44 .48 .44 .44 .40 .35 .61 1.00 .36 .29 .31 .34 .26 .26 .34 .25 .32 .33 .38 .37 .24 .23 .25 .31 1.00 .32 .29 .26 .37 .32 .32 .30 .36 .41 .37 .33 .37 .28 .27 .44 .35 .31 1.00 .17 .25 .26 .31 .28 .30 .27 .35 .33 .26 .41 .38 .33 .27 .43 .52 .22 .21 1.00 .24 .18 .29 .40 .15 .30 .30 .16 .32 .32 .26 .39 .20 .19 .21 .32 .37 .24 .27 1.00 .11 .12 .26 .17 .21 .28 .34 .27 .24 .24 .31 .28 .12 .26 .27 .23 .16 .24 .15 .14 1.00 22 23 24________ .05 .14 .25 .24 .29 .25 .23 .24 .26 .09 .31 .46 .25 • .27 .29 .27 .35 .33 .28 .36 .26 .31 .45 .45 .18 .32 .30 .31 .35 .43 .36 .39 .41 .16 .35 .51 .23 .28 .27 \D .25 .23 .21 .29 .45 .47 .33 .38 .43 .11 .17 .20 .33 .37 .37 .23 .31 .35 -.05 .22 .21 .24 .32 .29 1.00 .48 .33 1.00 .54 1.00 ITEM INTERCORRELATION MATRIX FOR TEST A, FREQUENCY OF OCCURRENCE FOR SELECTED INTERN CONSULTANT TASKS, FOR INTERN CONSULTANTS' RESPONSES 2 .25 I.00 3 .04 .27 1.00 4 -,19 -.24 .16 1.00 5 .14 .10 -.02 .13 1.00 6 -.18 .04 .09 .09 .25 1.00 7 .06 .29 .21 -.09 .37 .24 1.00 8 .20 .03 .11 .18 .21 .06 .05 1.00 12 9 10 11 14 15 17 19 20 22 13 16 18 21 23 24 .05 .29 .00 .25 .07 .28 -.06 .34 .22 .11 .07 -.21 .25 .05 -.06 -.07 .14 .18 -.22 .17 -.03 .16 .19 -.02 .32 .06 .18 .40 -.13 .28 .07 .09 .09 .16 .26 -.02 -.28 .39 .17 .04 -.18 -.23 .03 .09 -.02 .26 .09 .29 .16 .30 -.06 .22 .07 .26 .29 .01 .37 -.00 -.17 .25 .25 -.00 -.04 .23 .42 .33 .22 .41 .27 .05 -.05 -.09 .23 .25 -.14 .13 .23 .36 .24 .17 .04 -.05 .30 .31 .17 .05 .22 .20 .06 .11 .25 .27 .17 .21 .11 .31 .12 .50 -.11 .23 -.14 .06 .26 .21 .36 .05 .36 .39 .31 .30 .09 .07 .10 .14 -.06 .01 .06 .04 .15 .18 .25 .11 -.01 .08 .29 -.01 .25 -.19 .39 .09 -.09 .25 .04 .23 .16 .30 1.00 .17 .18 -.08 -.33 -.35 -.25 -.20 1.00 .41 .17 .01 .23 .11 .40 .06 .21 .43 .15 .27 -.03 -.03 -.01 .35 .25 .09 .23 .16 .20 .35 -.04 -.13 .13 -.07 1.00 -.12 .08 .46 -.08 -.07 -.02 .06 .18 -.22 .04 -.07 -.05 -.13 -.01 1.00 1.00 .44 .10 .21 -.06 -.26 -.02 -.06 .11 .24 .12 .03 .02 .04 -.14 .00 .08 .20 .11 .02 .15 .07 1.00 .20 .15 .30 1.00 .37 .48 .32 .23 -.01 -.02 1.00 .01 .06 -.26 .07 .02 .23 .47 -.02 1.00 -.01 .03 .03 .12 -.17 .13 -.06 .21 .29 .11 -.26 -.14 1.00 .11 .06 ,16 -.05 .11 -.05 1.00 1.00 -.00 -.29 -.19 -.04 1.00 .05 .23 .32 1.00 .36 .28 1.00 .43 I.00 220 r 1 1 1.00 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 INTERN INTERCORRELATION MATRIX FOR TEST B, PREFERENCE FOR INTERN CONSULTANT METHOD OF OPERATION, FOR INTERN TEACHERS' RESPONSES 2 .50 1.00 3 .46 .44 1.00 4 .4t> .50 .42 1.00 5 6 .16 .15 .13 .12 .07 1.00 7 .13 .21 .17 .10 .13 .64 1.00 8 .16 .22 .24 .15 .13 .54 .60 1.00 9 .17 .28 .21 .23 .11 .53 .61 .51 1.00 10 11 12 13 14 15 .15 .15 .03 .10 .04 .37 .35 .37 .39 1.00 .17 .13 .21 .11 .09 .31 .36 .27 .28 .27 1.00 .17 .17 .12 .15 .21 .23 .35 .33 .28 .23 .58 1.00 .18 .26 .19 .12 .02 .28 .31 .37 .36 .25 .53 .59 1.00 .12 .17 .20 .17 .08 .27 .32 .30 .45 .22 .47 .39 .51 1.00 .11 .10 .04 .05 .02 .18 .21 .17 .16 .47 .42 .28 .35 .33 1.00 221 r 1 1 1.00 2 3 4 5 6 7 8 9 10 11 12 13 14 15 ITEM INTERCORRELATION MATRIX FOR TEST B, PREFERENCE FOR INTERN CONSULTANT METHOD OF OPERATION, FOR INTERN CONSULTANTS' RESPONSES 2 .57 1.00 3 .52 .68 1.00 4 .31 .36 .51 1.00 5 .42 .21 .23 .37 1,00 6 7 8 .29 .43 .24 .17 .13 1.00 .00 .13 .17 .12 .22 .46 1. 00 .02 .28 .25 .21 .13 .74 .55 1.00 11 12 14 10 13 15 -.02 .13 -.23 -.08 -.11 -.03 -.10 .20 .21 .20 .13 .19 .13 .19 .10 .10 .13 .18 .06 .23 .11 .01 .08 .18 .17 -.17 .01 .03 .21 -.10 -.23 -.14 -.04 -.09 .03 .43 .36 .16 .31 .51 .39 .14 .32 .40 .44 .33 .31 .49 .18 .49 .49 .62 .24 .32 .26 .34 .60 .26 .14 .27 .59 1.00 .38 .20 .61 1.00 .31 .13 .38 .40 .38 .44 .51 1.00 .41 .59 .34 1.00 .54 .26 1.00 1.00 .51 1.00 9 222 r 1 1 1.00 2 3 4 5 6 7 8 9 10 11 12 13 14 15 ITEM INTERCORRELATION MATRIX FOR TEST B, PERCEIVED LIKELY INTERN CONSULTANT METHOD OF OPERATION, FOR INTERN TEACHERS' RESPONSES 2 .44 1.00 3 .54 .45 1.00 4 .34 .47 .46 1.00 5 .28 .27 .30 .28 1.00 6 7 8 .16 .11 .05 .08 .01 1.00 .16 .21 .16 .21 .09 .62 1.00 .09 .17 .18 .16 .12 .48 .49 1.00 11 10 12 13 14 15 .12 .15 .08 .16 -.03 .17 .19 .14 .24 .27 .11 .25 .25 .19 .22 .15 .13 .10 .16 .23 .07 .20 .25 .29 .26 .32 .21 .29 .01 .07 .00 .07 .08 .08 .04 .50 .24 .21 .30 .30 .33 .03 .62 .27 .33 .42 .36 .11 .32 .54 .24 .32 .31 .34 .44 .07 1.00 .37 .27 .39 .40 .14 .44 .27 .29 .31 .38 .39 1.00 1.00 .62 .60 .56 .37 1.00 .54 .35 .67 1.00 .26 .55 .42 1.00 1.00 9 223 r 1 I 1.00 2 3 4 5 6 7 8 9 10 11 12 13 14 15 INTERN INTERCORRELATION MATRIX FOR TEST B, PERCEIVED LIKELY INTERN CONSULTANT METHOD OF OPERATION, FOR INTERN CONSULTANTS' RESPONSES 2 .49 1.00 3 4 5 6 7 8 9 .37 .59 1.00 .13 .21 .23 1.00 .32 .23 .18 .06 1.00 .24 .16 .07 -.23 .05 1.00 .24 .22 -.09 .04 .16 .52 1.00 .02 .10 .26 -.02 -.14 .32 .11 1.00 .17 .18 .03 .00 -.05 .14 .47 .24 1.00 10 11 14 /12 13 15 .15 .24 -.07 -.01 -.18 .12 .21 .12 .00 -.11 -.09 .09 .10 -.13 .18 .00 .05 .19 .01 -.07 -.04 -.17 -.14 -.19 .01 -.20 -.26 -.03 -.01 -.27 .25 .01 .07 .24 .07 .33 .08 -.07 .27 .16 .28 .24 .32 .06 .09 .45 .37 .28 .03 .18 .56 .43 .34 .29 .06 -.36 .09 .08 .45 1.00 .24 .33 .35 .43 1.00 .60 -.00 1.00 .44 .18 1.00 .57 1.00 .41 1.00 \[ZZ T I I 1.00 2 3 4 5 6 7 8 9 10 11 12 13 14 15 APPENDIX D F R E Q U E N C Y COUNT F O R I N D I V I D U A L ITEM SCORES OF INTERNS AND C O N S U L T A N T S ON THE INTERN C O N S U L T A N T I N V E N T O R Y 225 A Listing of Items Within Categories for Test A Showing the Percentage of Highest Response for Preferency & Frequency for Selected Consultant Tasks by Interns and Consultants Interns Categories Management Conditions of Learning Items Consultants Scale Number Highest Percent Response Scale Number Highest Percent Response 6 7 Seating Arrangement & Distribution of Materials, etc. 31- 3^56 3456 53- 4056 6256 8 9 Organization of the Calendar 53- 3W 5- 4756 4256 3- 62% 22 23 Ventilation - light - seating physical conditions 33- 31% 32% 53- 52% 48 49 Maintained monthly, weekly, daily schedule 33- 29% 29% 53- 12% 12 Ability to learn & childs’ 5- 36% 11% 13 self-concept important 3- 39% 53 4 18 19 Selection of specific individualized materials 53- 51% 3435 53- 7256 6556 24 25 Adjust teaching to interests & experience of learner 53- 3456 3856 54- 35% 55% 3^ 35 Consultant points out child growth & development in classroom 53- 31% 53- 51% 38% 5056 4056 4056 7056 Interns Categories Planning for Instruction Scale Number Highest Percent Response Scale Number Highest Percent Response 4 Consultant helps plan & 33555 57056 5 set behavioral goals 338$ 458$ ------------------------------------------------------------------------14 Consultant provides new ideas 565$ 555$ 15 for lessons/units 340$ 458$ 16 Consultant locates & selects 17 appropriate materials 53- 68$ 39$ 54- 65$ 65$ 38 Consultant recommends specific 5- 31$ jj 30$ 39 methods of teaching 3- 38$ 3- 67$ 2 Consultant helps interpret 337$ 563$ 3 childs1 cumulative record 140$ 368$ ------------------------------------------------------------------------26 Consultant helps interpret 540$ 560$ 27 standardized test results 139$ 265$ 40 Consultant suggest inventory of 41 .interests, problems, attitudes, etc. 53- 40$ 30$ 53- 55$ 57$ 46 5- 51$ 5- 80$ 3- 45$ 4- 50$ 47 Consultant helps diagnose individual and class learning difficulties 227 Measurement of Learning Items Consultants Interns Categories Analyzing Teaching Behavior Items Scale Number Highest Percent Response Scale Number Highest Percent Response 10 Consultant questions to 5- 32% 353 11 subtly point out weakness 3- 35% 53 4 453 32 33 Demo lesson, then analyze & discuss lesson 53- 4056 32% 53- 553 803 42 43 Evaluations to promote self direction for intern 53- 433 433 53- 553 523 44 45 Follows observation with written critique of intern’s teaching 5- 1- 313 333 53- 223 303 20 21 Consultant is available on call after hours 55- 553 463 55- 683 383 28 29 Consultant helps intern develop in professional autonomy & freedom 53- 483 283 55- 683 353 30 31 Consultant emphasizes interns per­ sonal & professional strengths 54- 523 343 54- 75* >10* 36 37 Consultant shares close and relationship with intern 54- 683 333 54- 73* 48* 228 Supportive Behaviors Consultants A listing of Items Within Categories for Test B Showing the Percentage of Highest Response for Likely and Preferred Consultant Method of Operation by Interns and Consultants Interns. Category Problem Situation Theoretical/ Practical 50 51 Scale Number Highest Percent Response Scale Number Highest Percent Response Diagnosing & planning an individual math assignment 44- 42?6 4os6 55- 45% 38% 56 57 Pacing of the school day 44- 35% 36% 53- 4056 62 Trouble teaching a difficult 4- 32% 63 concept in science 5- 35% 33 5 33% 3056 68 69 Administering clear & concise directions 35- 30% 33% 3856 3856 74 Retention - Principal 3- 28% 75 Problem 3- 30% 331 2 1- 52 53 Diagnosing & planning an individual math assignment 33- 30% 32% 33- 4556 4056 58 Pacing of the 3- 32% 3- 4556 33% 2856 1856 *3 J 59 school day 4- 33% 4 5 32.556 64 65 Trouble teaching a difficult concept in science 44- 30% 32% 33- 5356 3856 229 Initiative/ Active Consultants Interns Category Direct/ Indirect Problem Situation Consultants Scale Number Highest Percent Response Scale Number Highest Percent Response 335? 455? 345? 33 4 70 Administering clear & 71 concise directions 34- 76 77 Retention - Principal Problem 33- 4055 3555 33- 40?? 435? 54 55 Diagnosing & planning an individual math assignment 35- 27% 35- 355? 455? 60 Pacing of the 33% school day 345? 4 ' 5 5- 335? 61 34- 66 Trouble teaching a difficult 4- 28% 4li 3555 67 concept in science 4- 37% 72 Administering clear & 73 concise directions 3 4 4- 78 79 Retention - Principal Problem 33- 32% 5 335? 405? 35% 28.9% 3- 385? 365? 5- 405? 345? 33- 385? 40$ 32%