EVALUATION OF SOME MATHEMATICAL MODELS USED IN THE INVESTiGATIONf OF iN‘T’ER-PERSONAL RELATlONSHIPS Thesis for the Degree of M. A‘ MICHIGAN STATE COLLEGE Charies Harty Proctor T950 - (31' .| -r~—-—'-—< '7‘- THESIS This is to certify that the thesis entitled [Y'Y‘ T‘" T" "- m'” ‘Y 'fi "fi FT! " ‘ ’7“' “ ' 1 .,‘ . F . '3 , T fr ‘7‘ , m (1‘? Ad‘é-J ‘1 t‘lk’dlb anl3 (‘1‘ C J -‘~.I..-I A I. A‘L—‘l. 1h ‘.~~I:‘.~ ‘ v 7m V q , v — V w- ‘ ls . \T C.“ 1' .‘l "F‘ n ‘ ‘Y‘.W'I)‘l)?.‘l)"”'.l’t T y- t‘TI ,an‘Yr‘ ,.I- )F‘ k; w UUW T: a? 1‘1”. "4-) r ;1‘ As. -‘ -4‘-~\\ j‘boJ .{u—A -.-.\ I~"}l_LI 3 presented by ----- has been accepted towards fulfillment of the requirements for I}; degree in ooc;olc¢y and un+hr0rolo=y A ») MK Major professor / be trim 7‘ 7" 19;“) Date ’ _- ’ 0-169 ’ -' ‘S‘rfi ‘Il‘uvu A ulll‘lllllo . ,erhwh . Vll.‘ "1 - VYrrfi P‘T (\"1 f:/‘ "1“ ,- fiT'r-V ‘; "1T“ _» "r\ \"W (‘1 LngJcAlIL/D; LE ”ct-.4. 1~.;-A._H;.L.-.—:Llo.L i-.Lu..LLD U‘SLD 1:: THE I;w;'J.:_I:':fI HI‘ICN CF IPV'I‘:;.3‘.'-F.£‘3.‘}"2-‘.-3L TILLAPICI‘CSE‘IIPS by Charles Harry Proctor Submitted to the School of lraduate Studies of Hichigan State College of Agriculture and Applied Science in partial fulfillment of the requirements for the degree of MASTSQ CF ARTS U G) '0 go *‘5 d‘ l) x'nt of Sociology and Anthropology 1950 PREFACE Evaluation of theories is a highly cuestionahle and some- what "unscientific" undertaking. Any techniques which nirht he thought to serve this aim may in turn be "evaluated". The oroTIem is very similar to the atterots to prove the validity (J of induction. Always, the nrin isles of induction are called upon to prove their own validity. A technicue for evaluation can, however, he orooosed if .~ the ultimate "ends" or "goals" of a theory are stated or can L H H be reasonably assumed. As these ends of science hecome more and more adequately articulated, the task of evaluation will become amenable to solution. It will be the ourpose of this thesis (after deciding st "ends") to develon some technioues for (D uoon certain mod validation. The. ( 0 (1') techniques will then be apolied to two 1 f} LA. more mathemati- L... C" (D theories, 3h pole's interaction schema an! are attempts to "mathematize" some asnects of a social science. Although these theories are not representative of either what is being done or what may he done in the area they may help to point uo certain general consequences of msthsmstizeticn. In addition, hese particular theoretical systems deal with the small or primary :roun. This field of inter-narconal re- (3 lolory, if the letionshios may he found to nermeate all of so H (0 C f' O conjectures of tneor in this area are oon°irmed. Thus, -J t 1 U) one of the purpose: will to invostijete the tenabilitr of 1 sucn conjectur- i 1) (,0 0 244566 Cne word of caution is necessary. H i T 3 t s S37 ('3 (U L.“ (J: t‘ V (+ v- ’J (L) if) i) (J t-‘ h) H {O (4 :~' ,3 La- 1‘“ I 7 ( + P” if) 0 *3 “I rJ- I.) s ‘ .3 1,. r >' O S ‘0‘ 1 70 S n) {J P). ’ b H 0 all Jujfiments of value must be made rslftivs to +hsse trohlems. The strortly “olcmic ton; of too thesis can then he erolained V) "5 l): '5 O + (J 3 :l ) 3 '1 C: '3 3 «4’ (D ,3. + 3‘ 6+ . T «D U 5 84L] 1) O 4) ‘l D V’) r‘l’ 3 rest a acknowledgment is due Dr. (‘1' Thu author realizes Leo Katz for a basic reorientation toward the statistical portions of sociometry. Another pervasive influence was con- tributed by the book, Structure of Social Action, (Kclraw Hill, 1937) by Tallcot Parsons, which, althouth not cited in ‘A\ -‘< t- "\ ".v\ . 10" 'VI ‘3 ~‘. I. 4' i “a text, has Lean res lonelhle for a i:r_,e snare oi the II III ‘TA‘LC CE SCTTSNTS Introduction and Methodology. . . . . . . . Ghanple's Interaction 30* p. Satirical Constructs and their Scorjiza definitions 0 O O O O I O O O f -F‘ L. N A » yv A fi’<-y-\ ‘. (— 1 fl . fl 4- v. deletions setween thlIlCd oorst:ucts. 3. {Isles Of TltCIcrvo o o o o o o o o o o o o SOClODeth. o o o o o o o o o o o o o o o o A. In I‘OiUCthn. o o o o o o o o o o o o o 0. Statistical Analysis. . . . . . . . . . C. Eatrlx Analy318 o o o o o o o o o o o o 0. Conclusions . . . . . . . . . . . . . . 12 17 IV Technical note. . . . . . . . . . . . . . . . A. Expected Frequency Distribution for Fair deletion - C r. i o. {rehability Distribution for O, l, ..., nfi Choices when d - l. . . . . . . . . . . . . . . . o. Frequency Distribution for a Posteriori Inter- an Within-Class Choices. . . . . . . . . . . . . . . D. A Posteriori Distribution for Choice Statuses . . V Summary and Conclusions . . . . . . . . . . . . . . . IV Conjectures on the Broader Asnects of Inter-personal Theor)’. O O O O O O O O O O O O O O O O O O O O O O O UT \N .p UT I Introduction 3nd Eethodology A scientific theory may be regarded as a "tool". he evaluation of theories can nroceed on a basis similar to the process of evaluation as used in econom c analysis if this "analogy" is accented. The analoiy is deemed ascertable as a convenient first aorrorimation in evaluation nrocedures but its difficulties will soon become annarent. In economic ir snnlication is inexoensive and the result? are desirable. Cne can make a 1 Although sucl a statement is evtremely broad, its elabora- tion would require more space than is necessary for the our- pose of drawing our analogy. similar and more specific statement, in terms of tSBOPleF, such as: theories have hivhest value insofar as their cooli- 1 cation requires a minimum of time, training, ~no exnense, and i insofar as the resulting explanation and/or orelictions are abl\ O L detailed and widely aonli The two main variables, then, are (l) anolication, and (2) resulting exolanations, which corresoond to the "means" and "ends" in an economic analysis. An attempt will be made in this section to find catezories by which these two variables can be described. That is, the possible "values" (in the math- ematical sense) of these variables will be specified. But been comoleted the problem of comparing to H co D" m m after this analy H these "values (renresentina different cl’ H. C) CD 0 H3 various combine theories) has not been solved. As a matter of fact, it does “2- l solvt I." ‘3? on \1) :3 ct seem possible at this time to qive a go (r mem.beri ng that this problem of value is a moot question iffioulty will be avoided by melting L3: even in economics). This only tentative statements corceriin< the value of a theoretical system as a whole. The problem of specifying the categories of the two variables can, however, be attempted. he most adequate ch51 racterization of a theory in terms of "application" and "resulting explanations" would have to be done as a result of actual use of the theory. After trving (I) the theory in many instances, som judzments would become possible. This prooc dure is cuii etedious, and if by oore;ul results could be obtained, '"5 examination of the th-ory, e simila the empirical tests would not be necessary. It is hy.oth oecsted th1t. such a procedure of examination al test s. This 0 can be developed to replace el -borete expiri U.) T tieo reti- V O (I) () procedure consists of delimitin: three main tree» cal structure, namely (1) coordinating definitions, (2) logical consistency of the total the orv, and (3) levels of interration. Coordinating definitions describe the oner *ions by which ”raw” data are carried into concepts or, better, empirical 2 constru0ts. 'Tney are OI tne iorm: 11 (sucn and such a. DO raw 2 To examine Trcoordinating; def nitions" is similar to, but less inclusive, than examinin ctbouolosy data) is observed, then (such and such eonirical construct) exists. For example (from sociometry), "If Bill says he would like to work with John, then Bill 'chooses' John." "Chooses" or "a choice" thus becomes and empirical construct. For any coordinatirg definition to be adeouate it must transform raw experience into some symbol so that no ambiguity in interpre- tation arises. Coordinating definitions will be useful focal points by which to examine the variable "means", alluded to in the second paragraph. Coordinating definitions to be valuable must: (1) be "operational" or "objective" (i.e., different investigators should be able to apply them and make transfor- mations of the same "raw" data into the same symbols), (2) be efficient (i.e., should not demand extensive clerical or mechanical manipulations), (3) be such that the te minology of the conceptual system should not bias interpretations (i.e., a term widely used in other theories should not carry any inapplicable meaninms when used in the theory in question), (4) minimize "feed back" (i.e., the operations should q not eact uoon the zroup to any appreciable extent). -J Logical consistency will be a comparatively simple problem if mathematical models constitute the theoretical structure. In the course of writin: the tiesis however it was found a , 9 that what at first aopeared to be a model was actually a series of empirical :eneralizations. Due to this fact, the theories were never Aformally re rarined for 10 wi a.l cons -istency. The problem of logical consistency is still overly simple, because the theories 3 to 1‘e examined here show no elaborate lomical development. 3 The ease n for this will has ome apparent when we examine the are; "levels of integration". It will be seen later that theories of only a single level, preclude elaborate theoreti- cal structure, and the two theories which will be examined consist of only one w all developed level. Al hough the areas, logical consistency and levels of intezration, are disjoint, most of the discussion of lorical consistency will be carried out in terms of levels of integration. ‘ *3 H m of examination 0: models is still a nart of 1')“ The pro 1 (1) our job of finding ca te ories to characterize the ends of our mean-ends schema. Even if the theories to he considered nematiccl models can be noted: some of the a vantages or positive values are: A H V LU r10 ()1 or in lo fli al treatment is, while not quarantee- to the syntactic than the sematic level. That is, relations between the concepts, as defined by the functions in the model, are stated in logically complete and simple fern. This allows efficien tand effective criticism of the mo e1. -hat is, with many socioleical theories one may not the venue feelin: that something is wrong but to pinpoint the difficultv is impossible (in many cases, for instance, 1~cca=1se of implicit biaoes). (2) nfirmat ion or disconfirmaticn cecomas more precise A V D , -.~ . 1" ‘ N R o g ‘. L ‘. n-‘ . "' ooniirmation oy the use c: jPObgbillbgfiS imolies this type of l \n I . r; ‘ . fl , a A n 4 Freund, John ¢.,."Cn toe CO"f1VEEtLO¢ of oci'rtific licories , Philosophy of Science, 17:1:f7-94, 1930. theory while even the qualitative criteria can be more easily - 1 ..r 1%. "1a + ° - . “d .30 ,.. “a ° "_" 5 hack, newis unite utnguPUCtLCCS and Inferred entities , "i. . i H 1 C 5' ,. railoscpny of ocience, l7zlz74-c6, 1;,o. a ' ‘ " (3) The use of an 'universol" larfuaie sucn as mathe- matics allows a decrease in ambiiuity amen: the initiate as well as a procedural familarity with such techniques among the uniniatiated. This applies for instance to clerical help who - '9 can handle mechnical formulae vithou Cf t- mathematical backzround. .j (D G (4) An une £12k (t) - l, i being; anyone of the Iik, (2k) such that f t-l = O <2k><2i>‘ ’ ' and Ep is the first value of t following Bp satisfying f(Z k) (2' k) (2k) (A-k) such that fk(A-k)(t-l) = l. for all i = l, 2, ..., E - B , where A = (:Ek) and k is one of the (iik), with the general (t) = 0. condition that the total membership of the event, (2k), appear as either a stimulator, actor, or respondee. (b) Mean duration of 1's actions for event p = M10 E k ‘ where M '-'- p 12 11’ Bp 2k ni p where nip is the number of 1's actions in event 0, or the it: number of times finzzk (t) Jumps from O to l in the duration -15- of the event p. (0) Mean duration of i's action for any given number, n, of actions within event p - Sin’ , a 25k wnere Sin - 1 th' n where h is the time at which i started his first action, and g is the time of the last second of this nth action with Bp - h, g-fl‘p' Chapple computed consecutive Sin's for n = 5 in pair events (2k = i + k), that is, he summed the durations of 1's first five actions and divided by five, summed the durations of i's next five actions divided by five, etc. He then noticed that adjacent values were approximately equal which led him to define the "slope". (d) 1's slope (between t = u and t I v) - Si(v-u)’ v 22k 1 81(V-u) ' LEE-Q 9 where 5r equals the number of 1's actions between t = u and t = v, r being the number of S '3 combined; 15 u is the time at which the series starts and v is its end point. (e) Adjustment between i and k between the time t = H and t = s = A n , lk(u-H) G 2k 25k — (G-H) where A n H ER 2 ik(q-H) G 23: 25k H :Ek where Zk = k + 1. -17- o. Relations Between impirica Constructs. Althcu h Chapple has devised, or rather suggested various other measures, the notation has already become rather involved. he poirt of diminish- Shapole's determinentel abstraction is: interaction can be considered as a process in equilibrium. As defined by - ‘ V 0 3 O ' O Cnasole eouiiiorium implies that, '...within definable limits, L A the relations of individuals are constant. ... an individual or a group, regarded as a system, returns to these constan values after the impressed force is removed;" intense or lasting 4 forces may produce a permanent chanse in the system. 4 Ibid., p. 37. Thus he expected these indices or concents to show some consistent relations with each other, both over a series of events and, esne (J ially, within anv sin le event as the individ- ‘. uals adjust to each other. There arose one hyn'thesis, (H), \I and three empirical :eneralizations, (E this attezpt to demonstrate equilibr.um. C l 1 AJ Eni i where O a is i's total number of criminatiors, i zJ 0 q is i's total number of terminations, 2J1 and C is a constant. This states that i's originations minus his terminations are -18- equal to a constant value. This constant value is a result of 1's previous conditioning, thus should remain the same for broad intervals of time. (El) For a series of pair events, (EERZ‘ i + k), Min = c} for all p. "(g 1‘: a. k p (E2) Within pair events, v 25k 1 Y . S - £11 105 i(v-u) + K21 %:;£;E ’ and for the same pair, 1 and k, this equation remains valid within a series of events. (E3) For successive intervals of two minutes the index Aik(120-O) gradually becomes stabilized at a small positive constant, Aik’ or Aik(lEO-O) = Aik(24O-120) - ... - Aik’ for individuals 1 and k who "adjusted" to each other. Also in the nature of an empirical generalization the frequency distributions of duration of actions and durations of events are in the form of a J-curve which can be fitted by the exponential function, dF = a e-deT given by Chapple, which becomes dF = a e‘aTdT, where T is the duration of either actions or events and F is the frequency of such actions or events. The constant a will differ for the two cases (actions and events). D. Mathematical Model. The first and most obvious fact is that we actually do' -19- not have a mathematical model. We cannot discuss questions of syntax but only coordinative definitions. The emphasis which Chapple placed on operational definitions was reflected in the complex notational system which was necessary to represent the nuances of these definitions. What good is a notational system without any possibility for systematic analysis? The "interpretations" which Chapple advances to explain El, E2, and 33 are simply that these uniformities prove the fact that interaction is "in equilibrium". It appears that his principle of equilibrium is capable of the most indefinite extension. Any uniformities at all can be used to prove its existence. This is not the traditional use of the equilibrium con- cept in, say, chemistry. There the basic nature of any equili- rium of ionization concentrations can be derived a priori from the various amounts, the ionization and reaction properties of the compounds in solution. No such simplification has been achieved in the area of interaction. The fact that this in- determinant situation does not approach the natural science goal does not preclude that possibility, but does indicate the need for more analytic theorizing. Statements of empirical uniformities do not constitute a theory, logical interrelation- ship has yet to be added. If we were to argue the adequacy of this demonstration using Chapple's criteria the conclusion would be more flatter- ing. The important point to Chapple is the formulation of new -205 and refined concepts using accurate, sensitive measuring in- struments. By generalizing the empirical findings new theories are born. But the point here is that in empirical generaliza- tions one can find no assurances that the final theory will meet the criteria of sufficiency and adequacy either as a theoretical structure per se or as any explanation or solution to practical problems. To demonstrate this, look at (E1), (E ), and (E ). Each 2 3 generalization contains experimentally independent concepts. (El) concerns a series of pair events, (32) deals with variable periods within an event, (E 3 tervals, while he also gives distributions covering both, series ) refers to equal, two minute, in- of actions and series of events. None of them are derivable or explainable on the basis of a compact number of postulates, nor do they appear capable of becoming postulates themselves. E. Uses of Theory. The most important contributions of this theory are I . "5, . , 'suggestions . These suggestions allowed tne construction of 5 Merton, Robert K., Social Theory and Social Structure, The Free Press, Glencoe, 111., 1949, p. 91. an empirically based social anthropolosical theory. This 6 Chapple, E. D., and Coon, C. S., Frinciples of Anthropology, Henry Holt and Co. New York, 1942. theory examines "set" events (involving more than two persons) ”with the purpose of defining some ordination of individuals. ~21~ With this theory, we are going outside the previous bounds of our delimitation of "interpersonal" theories.7 But since 1? See above p.11. this notion of hierarchy or ordination is so important both to the sociologist and the mathematician it will pay us well to examine Chapple on this point. First he extends the notion of "origin of action" to all events, separating those in which one member (1) of a pair originates (component i) from those in which the other member (k) originates (component k). The ratio of these componentS“ ngives a basis for ordination in pair events. Extending this to the set events we get: "a hierarchy is made up of individuals in interaction in which some individuals originate action for others who in turn originate for their group, and so on, depending upon the extent of the hierarchy." As a result of this Chanple finds that institutions are characterized by three broad levels or classes. Class A are the originators; those individuals who serve exclusively as the initial stimulus leading to interaction among any subgroup of the institution; Class C, those individuals wig) exclusively and the interaction by an action which serves as a stimulus to no one; and Class B, individuals who in some situations or events originate, and in others terminate action. If we define "originates to" as "includes" would it be possible that we do have a hierarchy or a partial ordering of the individuals in an institution? i n Say 1 23 ("1 includes 3") if and only if g fi1.23(t)>0’ 1 where n1 and n2 determine a time span which should cover a week or so, and 2E3 is a subgroup of the institution, I, con- taining J. Does this definition satisfy the three properties of reflexive- "ness, antisymmetry and transitivity? Reflexiveness: for all i, i = i. This may be considered correct from the standpoint 1 8 that i responds to his own stimuli. Antisymmetry : if i g 3 8 Head, 3. H., Eind,;3elf, and Society, The University of Chicago Press, Chicago, 111., 1934. and J Z'i then i = 3. Since no criteria for identification or equivalence have been set up we may accept this statement as a definition (otherwise we will have a quasi-ordering). Transitivity :if 1 = 3 and j = k then 1 - k. This is one point 9 at which the ordering breaks down: 9 Another definition of inclusion to avoid this bottleneck would be: i = j if all the individuals to whom j originates are included in the group of individuals to whom i originates. This is simply set inclusion and does give a well-ordering. n2 1 i Z " plies f (t)>0 3 1m, ‘ggr 1:53 1 n 3% k means that 2fJ (t)>0 Jiik t=n1 where Zk is some subset of I containing k. These two conditions do not necessarily imply that 1:; k. It is difficult to understand how Chapple uses "hierarchy" without the rationale to determine one. Even more basic than these formal considerations are the observational difficulties of determining oriqination which have been discussed above. This theory's applicability to practical problems has apparently been demonstrated by Chapple's success in the area _ 10 of industrial labor relations. His basic principle for solu- 10 This impression was gained by the statement by Dr. Kimball that Chapple claims wherever an industry has taken his advice their problems are solved, otherwise they remain. tion of any maladjustments is to restore the system to equili- brium. There may be alternative theories having this principle as a conclusion, but it, in itself, is innocuous. The faCt that there should be some stability in human relations is per- fectly admissable. But the fact that this stability should be defined by (El), (E2), (E3), and (H1) is not completely assured. Ask any in- dividual, i, when he felt most "happy" and he is not likely to say, "I was interacting with k, our A = O, my K and K 1k 11 21 were stable, and C: = ." He will be most likely to describe U1 lb: some incident in which he was enjoying an unusual experience, and his description will be in terms of the "content" of this experience. 2 or more accurately, physiological phenomena. There is no [*1 l)’ (E ), and (33) are concerned with physical phenomena, criticism of this approach as long as it does not claim to be an attem t to describe all of human social behavior with the use of only physiological data. But when Chapple takes up the 7.21;; question of content and the analysis of symbols by use of these 11 physiological phenomena he gets into difficulty. ll "measuring Human Interaction", op. cit., p. 111-127. Humans run their lives with a value-attitude system which may be possible of analysis down to a conditioned response to some physiological interactional situation, but, after this situa- tion has produced the value-attitude system, humans run their lives by this system and not by the original interactional situation. Thus, Chapple's theory is an example of operationalism to the point of diminishing returns and a challenge to the emergent nature of social behavior which illustrates that physiology is a helpiul tool but a poor master of sociology. However, it will be recalled that it is not the whole of soci— ology, but the field of interpersonal relations in which this theory was to be Judged. By these standards it becomes more adequate and with its strong empirical demonstration takes its place as an important contribution. In terms of the points of attack set forth in the Introduc- tion we find that: (l) Chapple's coordinating definitions were precisely stated except for parts of "origination". (2) There are two levels of analysis, with one member of R2, "equilibrium", giving "meaning" to all the empirical generalizations in R1, (3) The application of the theory requires extensive clerical help and statistical manipulation and is chiefly use- ful in "suggesting" social anthropological analytic techniques. Chapple claims that the theory will predict interactional be- havior, and the suggested theory has apparently been used with success in labor relations. -25- III Sociometry A. Introduction. Unlike Chapple's system sociometry has no unified theoreti- cal structure, one will almo.7 t he re to be imposed. All that 1 J. ' 1 exists is a collection of "post factum hypo heses'. This state l Merton, op. cit., pp. 90, 91. q of aff air rs has result as from sociometry's preoccupation with very practical problems, and has been fostered by its compara- tive success in this field. Eoth being.supported oy and also su uppo ortin:,these two conditions,has been the basic technique of sociometry whichkonsists of asking persons what they want and then ttempting to satisfy these needs. in As an answer to a decided lack of theoretical precision, mathematical models hrve been proposed. We will be dealing here with two ma in types which are statistical analysis and 2 matrix analysis. 2 Sociometric technic cues may arbitrarily be divided into iour ain areas: (1) sociograflconstruction, (2 ) "traditional" index construction, (3) statistical test is and (4) matrix mani- pulations. The irst two have no+ been 'maihematize d' adequately enou:h to examine here, but the influ— an e of these two areas permeates much of th e discussion on the latter tw wo. The empirical constructs of socicmetry are largely similar for both t pes of analysis. This is due to the fact that the .i l D; (D :5 1“? ess in eta are mostly the tvee of expressed pre or attitudes on the part of each individual tower; a situation involvi ng ir t:rac*ion with some other individual(s). These attitudes are elicited by the sociometric questionnaire, con- ..27; taining the questions which verbally create some interactional activity and which ask the respondent how he would (does or did) feel about interacting with certain other individuals. These two areas are separated only by the nature of the theoretical structures. Actually the terms are misleading, since statistics plays an important role in matrix analysis, while matrices are utilized in statistical analysis. The two areas refer to two developmental stages in sociometric theory, statistical analysis being the earlier and concerned primarily with testing certain a priori distributions while matrix analy- sis is a comparatively recent innovation,.usina certain metric manipulations and at the present time produces primarily a posteriori hypotheses. Some basic empgiCal constructs are; (1) Choice -- an expressed desire on the part of a certain individual to interact with some other individual. (2) Rejection -- an expressed desire on the part of a certain individual to avoid interaction with some other indi- vidual. (3) Criterion -- that specific interaction situation- which is provided in the sociometric questionnaire as the basis for choices and rejections. (4) Test population -- all the individuals to whom a given sociometric questionnaire (i.e., by specifying the cri- terion, number and types of choices and/or rejections) has been administered. These individuals will be identified by numbers, (1), (2), ..., (it). -28- To be able to mean the most and talk the least we will introduce the matrix of choices, C c =/§/013/§/ where Cij = 1, if individual (i) chooses individual (3), 3: C13 013 = -1, if (i) rejects (3). 0, if (i) is indifferent to (3) or if i To include more information, the values 1, O, -1 can be replaced with finer degrees of choice or rejection, the matrix may be- come rectangular if there are more different individuals chosen than choosing, etc. In almost all of the following analysis we will deal with a N x N matrix, the same individuals doing the choosing are the only possible recipients of choices, and we'll use primarily the values 0, ard l for We will also 013' deal with Just a single criterion and reouire that each individual make exactly d choices. It is then possible to consider the total information present by specifying values of c for all i, j = l, 2, ..., 13 N. This total information will be called the "total choice- pattern". The 1th row of the matrix will (i)'s "outgoing choice-pattern" and the (i)th column will be (i)'s "incoming choice-pattern". The matrix can be examined for peculiar structure and the following list gives some of the more important focal points of configurations. The column sum for the itn column gives (ilLs "choice status" (the row sums are all equal to d). If -29- ' (i)'s choice status equals zero we will se', (i) is an 'isolat If 013 = l and c.,i - l we will say the (i) and (3) form a "mutual" pair; if cij a l and = O, we will say (i) and (j) c 31 form an "unreoiprocated pair; and if c.l = O and Cji = O, we will say that (1) and (3) forr'ian "indif and c = l and c, - l and . . . and c = l we will say that xp tf 3k I 1 i o p i a 'cnain' ex13ts between (i) and (f) oi length equal to the numoer of choices involve . f 013 = l, and i is a member of some subgroup (a) while (3) is not a member of (a), then c is an "inter-class" choice, if (3) is a member of (a) c will 1 H . ' ‘ as a witnin—class' Choice. 3. Statist cal Analysis. To develop any statistical techniques it is absolutely h refeience or hypot he see. an the basis of these hypothe as all +he pcssi“le samples which might arise are divided into c_aoses which are ordered on the basis of their probability of occurcnce. Thus, if an observed sanple b. lcn . to soze class (of possible samrles) which has a very small probability of occurcnce, the by“0t38r‘ rejected. a. In the case o: sociometric statis miaht define the ( 9' r.» C) U) (D future total cno ice- in population to consist of all the past an patterns produced by a diven sociom trio cuest‘onro re. In L this case any tiven administration of the Questionnaire will yield only one value, hardly enough measurements to constitute a +est. However, it is p as ble to direct attention to some particular characteristic (or confiruratic n) of the c matrix which will yield s' 3 (D 5 r+ CO choice matrix. In addition it will 3 dossi‘le to derive cateiories or values of such chariot ristios such th“t, if this hs'act ristic of a :iven ice triT falls in e c rto‘ category or has a certain value some hvootqese“ con be rejects Instead of hecomin: ties u? in tstraotion", consider th1t ell of t4? rossiolo tot l cnoioe—rsttsrro constitute a cless, S. SsCi srecific total choice-pattern is sssooiated hlth one elezeat, o of S. TPen tor HO, w ice st“tes: the probability 0. occur n for any ele: c, P(c) ecuals 1 different total fferent 1.4.... restrict attention to each individual receives, we can thet any individual will receive Which turns out to be the resoective 6.1 ..s. . '—1 pension K-l-d N—l *- To derive the -el assumi H a ll equally lixely . ioice “ a, UL derive ition thet every Since matrices, H results. 0 only the number of choices from Ho the orobability N—l ch-i 0‘3 (D ble chosen by a rarticuler (j) quals d , of not beinz c osen, equals N-d-l, then, since, the N-l K-l umhor of oossiblo mexs of hein' chosen k tires eouals N- , , a the rrobability wh ch is “’1 te the k r“ o? the pre- 21 vious binomiel. By only the use of H in relation to total 0 choice patterns v: c n errive at the ssme resolt, which is not surprising. 23 Although it would be desirable, a test has yet to be de- 2a A teszt of the choice status of just one indivndusl at a time is a ”rough” Jay of testin: HO. If the choice stetus of one indi— vidual sllo«s Ho to be accented, there are still 3 great number op oti e1 non- anion configurations ,ossible. This is true of any of the tests, however, but seems esoec ielly rue of this nerticuler test. This introduces some orob e2s woich the author is not cec- able of resolvin.{, but cen only su33est. There is obviously some ”dependence" of these tes tt, i. e. a rejection of H for some he rti- cular confiruret' on rey be associe ted wi h rejectign in ano her confi“uretion. ‘ signed for (18 frequency distrioution of choice statuses for the whole grouo. It was at first susoocted thet some nrobsbil ity dis— tribution of the voriance for this distribution could be worked out by combine toriel techniques. But the rrobier ’3‘ ( D O ’3 (D 'n c+ O O O 3 F3 J H (O .14 u. (in e.merner similar to derM. in; the nrobebilit ~<: ( 21 f.“ (O (+- H C. —+ H! O :3 for mutual choices with d>'l). With a similar er3u2ent we can psrticularize Ho to arrive at an exoected frequency distribution of pair relations (mu- tual, unrecinroce te d, indifferent),3 inter-class and within class 3 See below p..51 4 1: choices a nro obeb ility distribution of O, l, ..., N-l-d isolates,“ 4 Loornis, C. r., "Foliticel and Cccunetional Ciee1rares in Hanoverie n Villsae ,Germany", Sociometrv, 9:4:316-3 33, 194s. 5 Katz, Leo, The Di strioution of t‘e Number of Isolates in a Groun, Institute of Statistics, inivereity of North Carolina, himeo. Series 36,1950. in O, l, ..., ed inter-class choices where a = number of 5 idwsrds, Daisy, Ste e:rkey, "The Constant Frame of Reference 'ProiL m in SociO2etry”, Sooiometry, 11:4:372-379, 194E. individuals in sucgroup (a) , and O, l, ..., N mu tusl cooices 2 -32- (when d = l)7. In addition, the non-random factors operating 7 See below pp. 51-53 in the case of the choice status distribution can be, so to say, partialed out (by a posteriori restrictions on column sums) and a distribution for inter- and within-class choices can be devel ped.8 Also an-a posteriori distribution-for choice 0 3— See below p..53 9 statuses can be developed. 9 See below p..54 ' associated with a rejection of th- parti- The "meaning' cular null hypothesis is, as alwats, relative to the theoreti- cal structure which attempts then to explain this peculiar phenomenon. The selection of the above points of attack on a choice matrix have, obviously, not been chéEEen by some whim of the statistician. The configurations have definite meaning to the sociometrist. Two ineffectual (from the standpoint of this thesis) types of theory have currently been used in the analysis of socio- metric data whenever this data shows itself capable of reject- ing some set of the null hypotheses. These will be called the horizontal and more-horizontal approaches. The first theory is traditional sociometry, represented by Moreno, and the second is the type of theorizing found in the numerous research articles in Sociometry which are 99 44/100% pure empirical generalization. H \N \>1 '1 In the first type any rejection of the null hypotheses 10 can be explained by a single high level abstraction called 10 The terminology, here, is remarkably confusing, in that, this "high level abstraction" is as far as content is concerned part of a "low level of integration" (i.e., physiological pro- cesses constitute a level of integration under psychology while they are a lower level of abstraction). Level of abstraction is more akin to a set inclusion property; processes (loosely speaking, events or ob acts) which constitute a himh level of abstraction are more genergl or simple and include, as special cases, complex processes of the "lower" levels. Level of in- tegration refers to a pattern of information which on a high level gives adequate explanation to most complex phenomena or processes and special cases of this total information will explain simpler phenomena or processes. "spontaneity", "tele", or "God". his is seen clearly in an . 11 n italicized quotation from fiho Shall Survive: back of all Publishing 00., P" CO (D \D J (D 11 Moreno, J. L., Nervous and hental D Washington, D. 0., 1934, p. 159. teractions between individuals there must once have been and still are two or more reciprocating physiolorical organs which interact with each other". The second type is evinced by a long list of research designed to explore some peculiar confisuration of the choice matrix. In reality the term "theory" is used very loosely in 12 Some of the articles are: Choice status: Kuhlen, Raymond G. and Bretsch, Howard S. "Sociometric Status and Personal froblems of Adolescents", Sgciometry, lO: 2:122—132, 1947. Young, L. L., "Sociometric and Related Techniques for Appraising Social Status in an Elementary School”, Sociometry, 10:2:158-177, 194 . Northway, Mary L. and Wimdor, Blossom T., "Rorschach Patterns Related to the Sociometric Status of School Children", Sociometry, 10:2:186-199, 1947. ~34- Seaman, Melvin, 'A Situations 1 Approach to Intra—aroup Negro Attitudes" Sociometry, 9: 2- 3:199-2 06, 1946. (Used, in- stead of soc ie 1 status, the near-sociometric scale of the Chic Social Acceptance Scale) rankel, Esther B., "The Social Rela+ionshins of Nursery School Cdildren” ,Sogigmetry, 9:2-3:2lC- 225, 1946. Northway, Fary L., TTS-c-J'ciometry and Some Challenzina Prob- lems of Social Relationships", Sociometrx, 9: 2-3 W1 M197 1946. French, Robert L. and Fensh, Ivan n., "Some (elatiorsnins Between Inter-personal Jud gments and Sociometric Status in a Colle e 3rouo", Sociometry, 11:4:335 345, 1949. Crossman, Beverly, and Wrighter, Joyce, "The Relationship Between Selection- Rejection and Intelli enc ea Social Status, and Personality Amongst Sixth Erade Children Sociometry, ll: 4:346-355, 1948. Isolates: McClelland, F. M. and Ralliff, John A., "The Use of Socio— metry as an Aid in Promotin;; Social Adjustment in a Ninth Grade home- room” Sociometr J. 13:2:147-153, 1947. hutuals:. Deutschberger, Paul, "The Tele-Factor: Horizon and Aware- ness , Sociometry,10:3:242-249, 1947, Inter- class: Faunce, Dale and Bee :le, J. Allan, "Cleavaqes in a Relative- ly Homogeneous }rouo of Dural Youth" ,Sociometry, 11:3:207- 216,1948. Becker, Myron 3. and Loomis, Charles P., "Measuring Rural Urban and Farm and Non-Farm Cleavaaes in a Qural Consolidated School", Sociometry, 11:3: 246- 261, 1948. Criswell, Joan H., "A Sociometric Study of Race Cleavare in the Class room" Archives of psychology, No. 235, New York, 1939. Lundberg, George A. and Beazley, Virainia, Consciousness of4gind' in a College Population" So ciometry, 11:1- 2:59- -73, 19 . Loomis, Charles P., "Political and Occupational Cleavages in a Hanoverian Village, }ermany" ,Sociometry, 9: 4 :316-333, 1946. "In reference to this more-horizontal type. A set of empirical generalizations can hardly be called a theory, but it depends entirely upon the definition of theory. In this sense a theory would refer to a group of relationships obtaining between em- pirical constructs derived from a collection of raw data in some restricted area of inquiry. In the more-horizontal tyne most of the "hunches" prior to research are implicitely formed, consequently a more impor- tant characteristic is the post factum nature of all the R1. ‘ H Jennings, although securely packed up by "psuedo-confirmatory data, is a prime example of this tendency to post factum 13 theorizing. To this extent, then, she is subject to attack 13 Jennings, H. H., geadershin and Isolation, Lon3mans, Ereen and Co., 1950, Second Edition. The set R is extended to cover a wide range of behavior, nevertheless she is weak in both "depth" and "hei3ht" analysis. Many of the correlations which she discovers are spurious: p. 53. while "what is done” becomes, "wiat should be done". by theorists who would claim such research yields only "sug- l4 gestive" hypotheses. 14 Merton, op. cit., pp. 90-92. Having carried out a polemic argument to this over exa33er- ated conclusion, it mi3ht prove valuable to discuss just what implications are justified as a result of statistical analysis. First, it seems a legitimate assertion that rejection of a hypothesis per se does not become an important indication that choice behavior is non-random. It is more important as an in- dication that with this particular criterion aspects of signi- ficant choice behavior become apparent. Another focal point of any rejection is the particular confi“uratien heinl sub— jected to test, but this area has received extensive attention 1 judging from the literature. To introduce some m asure of svstematization, consider "1 ' s the dimensions' or variables wnich must be eventually inter- 4 m up described in extra-sociometric 0 related: (1) g ture of the gr , (2) criteria, (3) conficuration, \/ terms (by control variable (4) rejection or non-rejection of H [Where X is some parti- OtX cular configuration(si]. To confirm any proposition for socio- metry, deductions from the proposition should be capable of Specifying the first three variables and correctly predicting the third. While the last three variables are straight forward, the first is very complex, as a matter of fact to specify it would require most of sociological theory. We now have a hint as to the role of sociometry. Sociometry gives a picture of small group behavior which can be explained by interrelationship between group structure and the variables or concents of psy— chology, sociology and anthropology. The concepts of these three areas enter into our four dimensional schema by way of 15 "nature of the group". It may, how- the amorphous category, 15 To avoid spending too much time on such a ridiculously com- plex problemwe will only observe a few of the variables to be specified when describing the nature of the :roup: age, sex, race, and occupation comoosition, individual's reasons for mem- bership (to increase conomic, social, or political class posi- tion, artistic or pure friendship motives), group ioals or normative systen, size of group, frequency of meeting, past history, etc., ad nauseam. ever, be valuable to notice which areas the sociometrists have favored. lize H \D although sociometry does not attempt to speci n psychological theorizing, this position is almost inevitable To a large extent the explanation of the interrelationships between, (1), (2), (3), and (4) turns out to be psycholoqical reasoning. This orientation is dictated by the nature of the raw data. Each individual chooses some other individual and these actions are first seen as due to some individual "reasons". It is quite possible to ask each individual why he makes such and sucdfi choice with the response becoming a psychological datun. An analysis of these reasons becomes an integrative portion of heory on R2. Consequently many empirical generali- zations have been constructed to relate particular aspects of group structure to (extra-sociometric) psychological variables which relationships are then explained in psycholorical terms. There is, however, another level possible and that would be a "social system", a concept on the third level of integra- tion. The development on this third level would certainly allow sociometry a more important place in sociological theory, but various difficulties must be overcome. The basis for any hope in this direction lies largely in further development of matrix analysis which attempts to get at total group structure. The previous discussion concerned with theoretical consid- erations can not become an excuse for avoiding a discussion of substantive theory. The previous four dimensions, waiting to be explored under riaorous and precise experimental corditions, may have to remain neglected for too long a time. But since this thesis is not backed by original data he only way out 13 to look at the research and attempt to fit it in, deriving our levels of integration as best we can and demandina certain minimum statistical considerations. The contribution to substantive theory which will be con- sidered is the research of Moreno and Jennings. As was mentioned above Moreno is a horizontal theorist, but he has set forth various propositions capable of test. To quote again from Moreno: "Tale is the factor responsible for the degree of social gravity operating between individuals and groups of individuals. It is responsible for the degree of reality of the social con- figuration above chance." This corresponds to our previous conception of the horizontal theorist in that every sianificant deviation from chance indicates to him "tele present". But Moreno does so on to define tele more completely as closely re- lated to the number of mutual choices, and we will accept this , more restricted definition. 15 Paul Deutschberger also following Moreno states, "The tele- factor may then be isolated as the characteristic ability of the given individual to create and to enter into mutual social relationships, ("The Tale-factor: Horizon and Awarenes ", Socicmetry, 10:3:242-2fl9, 1947, p. 243). It is a major contribution of Jennings, however, which allows us to relate tele phenomena to the previous dimensions. Her argument, restated, would become: If (1) the particular 3rouoin3s under investigation are not desitned soecifically for objective, articulate-, m-co ni_tic W‘ or designed for the individue l or rersone 1 side of 3ainin3 co.- oanionship or "acc eptance" (recs ivin: 3ositive affect); and (2) the criteria are uns stru ctured interactional situations which are cond ucive to accomolishinent of these personal ends; O I] (I) 9 and (3) we concentrate uoon investigation of neir relati .L the result of a statistical test of pair rel tions will be 03 rejection of the null hypothesis. If the first two conditions do not obtain, testir 3 the pair relations will not necessarily imoly a rejection. Frankly, I have not been able to find confirmation of these hyootheses. Jennin3s uses only the comparison of ner cents, Deutschber3cr's research design is not enplicahle, and 17 maucoros does not nresent the relevant data. If, however, k l7 Deutschber3er and haucorpst, Paul B., "A So ciometric In- quiry in the French Army' ,§ggiogetry, 12:1-3 :46-83, 1949), have, nevertheless, derived certain internal pronerties of the tele phenomena such as; correctness in indentification by (i) of other oersons chc osin3 (i) is directly associated Wl th the intensity which (i) chooses them (Deutschber3er) and is asrociated with the number of mutuels in which (i) en3a3es (haucoros). 18 we acce ~pt Jennin3' 8 results as conclusive does there exist 18 Not too dangerous en accents nce jud :in3 from the ori3inal data, Jennin3s, op. cit., p. 238- 244. an explanation for this phenomena? Jennings aroears to favor some va 3ue traditional sociolO3icsl exolanation for the latter, -40- 19 - or socio group, phenomena while she turns to Roreno for an 19 Cp. cit., p. 278. , , 20 n explanation of tne former or psyche3roun, behavior. moreno offers the explanation, previously quoted, on terms of physio- 20 Cp. cit., p. 575-7. logical ultimate causes. Jennings then confuses the issue by explaining relationships between an individual's choice statuses I . ., and 'mutual statuses" in the two cases as cue to the prior and more pervasive psyche3roup structure, with only the residual differences being due to some institutional or structure factors. 2l Cp. cit., p. 290. Thus we have an elevation of the psychegroup or its index, I the mutual choice, into a realm of the "most powerful" and 'best" 22 type of group structure, both from Moreno and Jennin3s. 22 Moreno, J. L., YT-Sociometry and harxismw, sociometry, l2: 1-2:1c6—143, 1949, p. 14o. "The world is full of isolated rejec ed, rejectih3, unreciprocated and neglected individuals." These individuals are in psycho103ica1 misery. Jennin3s, on. cit., p. 276. "hen, we have dealt with the naive empiricism of Jennin3s and the mysticism of Moreno the systematization of statistical \D H sociometry be3ins to f. l apart. Te still have the unmanageable numerous articles in Socioaetry, but it does not seem valuable to attempt a synthesis here. the only way out is to 3st back on the mathematical theme, and investi3ete those few extensions 21 -41- of structural analysis which purport to descri:e the total group. C. Matrix Analysis. One of the most prev- lent phenomena of inter-personal re- lations and yet one of the most difficult to determine has been clique structures or subgroupings of the original group. The sociosrrem aopro nhas attempted to study or at least determine clicue as but h s developed intde n art rather than a science. ‘ Into the breach comes matrix analysis with answers as to how clioues shall be determined and studied scientifically. There are two main types of solutions, one developed by 23 24 Forsyth and Katz, and the other by Perry, Luce, and Festinqer. '1 23 Forsyth, b. and Katz, L., "A Natrix Arproa ch to the Analy- sis of Socio. metric Data: Preliminary Report" ,Sociorn-_t§1, 9: 340- 47, 1946; and also Katz, L., ”On th e latrix Analysis of Sociometric Data" ,Sociometry, 10:2:233- 41, 1947. 24 Luce, R. and Perry, A. D., "A he thod of Flatrix Analysis of Group Structure" "Psychometrika, l4: 2:C j5-116, 1949. Luce, R. 0., "Connectivity and 3enera.li7ed Cliques in So- ciometric }roup Structure" Esrchometrika, 15:2:169- 90, 195 . Festinger, "The Analysis of Sociograms Using latric Alqe- bra" Huma- Relations, 2: 2 .153- 56, 1949. Festinger, L., Schachter, S. and Back, K., Social F in Informal 9roups, Harper and Bros., New York, 1953, The first technique consists of mechanically permutina the ori3inal choice-rejection (-l's allowed) matrix until the con- dition, z Zc'.’1j(i--j)2 equals a. minimum, is satisfied. .A 25 simple solution toJ this problem has been intimated by Criswell , 25 Criswellfi H. H., "Sociometric Concepts in Personnel Ad- ministration , Sociometry, 12:4, 1949, p. 299. but as yet has not been published. The resulting matrix (if cliques are present) will show clusters of + 1 choices alon: the main diagonal and the - 1's (0 ' will be shoved into the corners off the main die3onal. Th -e clusters of y l's indicate that the individuals are choosi :3 04 "into themselves" with qreater freouency than "outside them- *‘5 selves", and if the cluste s can be clearly boxed off the in- dividuals involved are said to form a clique. The cliques fart‘est from the center of the matrix are placed there because they have ne3ative or indifferent choices going to and/or coming from other individuals (principally those on the other end of the main diagonal). Thus we have some measure of "social distance" by using the final ordering of individuals. We also have a measure of social distance between cliques by the same principle. Those individuals near the center of the final array are the most generally accepted individuals for the total group while those individ als near the center of their cliques are most accepted by the clique. This picture of the group structure provides a two dimen— H sional picture, "social distance and "cliques", but is very cumbersome to obtain. An extension to this technique has been 26 suzgested by Katz which involves factoring the choice matrix. 26 Op. Cite, p. 2400 This implies that the group will show two structures,one for outgoing choice-patterns and one for incoming choice-patterns. =43- Since the individual could be expected tochoose himself, the communalities could become equal to 1. The factorial structure for the outgoing choice-patterns and the incoming should show the same reference vectors and similar factor loadings which would indicate pure cliques. Any deviations from this ideal setup would show a lack of cleavage even if in both structures well defined clusters of individuals segarate out, but the group would also show a "disc ganization" if thes two structures refused to coincide. It is possible 27 (says Dr. Katz) to arrive at a single factorial structure. 27 Since this would .ecessitate a symmetric matrix it appears the unreciprocated choices could become 1/2 or in general a new c could be defined _ _ . , 13 ’ - 011 031. This, however, is 5 not what Katz had in mind. ‘3 2 Considering that we have this new sinile structure it would yield to(o) many interpretations. The cliques could easily be defined as those individuals havinq hith loadirjs on a Iticular reference vector. The relationships between e cliques could be examined by the angles between ref I1 ~ H a . — tors ('oistance oetveen defined proportional to the "angle 1 I - ' 1 'I a between"). Tne 'leaqers' of tne cliques are those individuals 1 . 1 a _ u v having the hi nest loadings. The 'carriers' of information The individuals who have the largest communalities will be most If \\ "integrated" (i.e., they don't have towater-down their choice output or intake because they missed mutuality). -44- H :5 (D (.0 r 0 (i) L: O (D O ' J3 <4 (+- in ....a 7"! H0 5'5 '\ 4.’ (a C c ‘J O (I) {D {u P‘h q (1) '( 3 O ‘1 i") ' 3 (a O H) (3 A ,i (... LY I H (n th 2 see this let 0 be the i, 3 element of C , then, 13 011 013 * C12 C23 + °'° ‘ CiN CNJ ' which equals the number of three person chains connectin: i and j (these are called chains of "length 2"). Since c . either 1J O or 1, a contribution of l to 033 will only result if, for some (k), 01k = l and CkJ 3 1 or (i) chooses (k) and (k) choeses (J). Elimination of redundancy in chains oddength greater than 28 2 is laborious but possible. 28 Katz, L., An Application of Matrix Alaebra to the Study of Human Relations within Crranizations, Institute of Statistics, University of North Carolina himeo. Series, 1950. This technique seems limited to a study of communication 29 30 processes. However, communication is by no means unimportant. 29*"Cliquesrr can also be determined but we will not :0 into this application since the definition of a clique is almost too re- strictive to be of great value. 30 See Festinger, Schachter, and Back, op. cit.. There does seem to be some possibility of extending its use H q .. ... into influence" studies where indiv1duals choose others as ' 3 'having 'influence' over me" or "under my 'influence'" in whicn case the chains would become hierarchies of power. Cne impor— tant twist is its use in determination of "carriers" or indi- -45- viduals who can spread news quickly. To find these individuals 2 3 is n x I: _‘ '1" m " r -. , f, + x» + ... fCPPQu.3DJ.VdUMQ sole ,nliVAdu l C" :4 (U (D C B (J ‘- C) nae filled in his row with entries mreettr than zero he will communicate to every nem :er of th groun in at least the number of stees corresponding to the lest newer of 0 required. p-J (U i 1 cf *3 H N "3 ) ‘3 >3 0 x') O :5! ...4 O '3‘ ’0 ;s‘ l ) C ,4 D: t- (D "3 1'". (D H: H 4 Th l-" a) 1‘9 8 0 11 (D 1170" mentioned, since a report on it appears in Sociometny. . , T -, . T A, or" 31 CerVirxa, Jleoimir, "A Dimen31onal neory of Irouo , Document 253 American Documen etion Institute, Washin. ton, D. C., to: reoort by S. C. Dodd in Sociore try, 11:1- 2:133-7. ...-m _-..__ ———---.~——~..—_--_ .— Cervinka allows his matrices to lead him around to such an extent the information he demands is rrectically imoossible to obtain and the manipulation, consequently, becomes far too cumbersome. fie does manage to sugrest the extension ofmacrices out beyond the test to; lation into other ar reas. That is, in- stead of an N by N matrix we have a N by N + M waere the extra h variables are attitudes toward ideas or objects outside of the ()1 test population. This exte sion seems capable of yiel in: f O P‘} valuable info: mat i.n by, say, fac torinz thi. I by N + M matrix (usinm col -uznn intercorrels Mtions) T: ien t‘ie attit .ud variables could be seen in relation to clique formation, etc. D. Conclusions. *1 v 1 O " V " how that seeiometric theory has been “resented, some attempt c+ ct o cordi- (L) C) will be made to sum ma rize its properties with resp noting definitions and le rels of integration. \ '1 fl 0 O (l) Coordinating definitions for soCiometry :ooeer quite adequate. There is, sometimes, a difficulty -AS- in naming indices. The name of an index carries the implica- tions of the originator, and sometimes these are debatable. For instance, what we have called "choice status" is also termed J. L) tus . This latter concept has dec ded resonances in social s 5L3 of meaning, that re not at all aopliceble in most cases. But, since we do not deal in indices excent in matrix analysis, it is only for this area that the definitions are debatable. - I w w (2) Levels of inte ration has been 'over-hasheo , out a .T. -‘ ~J ? summery may help. Do mathematical models exist for sociometry; 1 1 ~ . the metastatioal manipulations are merely "tecnniques'. As a matter of fact, no theoretical system exists for sociometry. Sociomecry is a technique, abolicable to investisations on any level of integration, and the data can be explained on any level of integration. Cur substitute theorat cal schema suffers from this same malady, "uneven erphasis uoon exper mentation and data collection, without the theory to back it us." If we might be allowed another cnonce, there is the nos- sibility of interpreting sociometr c data by use of tendency to be organicmic and a type of analysis evolved from ohysiology should show some correspondence w th Koreno's inter- pretations. In addition analysis of the arious levels of in- f! tegration can be separated in discussion 01 the "unit subserved 33 by the function". -47- :1 33 Ibid., p. 31 where merton mentions concents of rsychclogi- cal fur ction,;roup fun notion, so: stal function, CU1+LUPE1'fUKC- " _"7‘ ‘- ~ " A“ Pfi‘ tion, etc. . 'ne orresoondence netween these "echoests are our four levels is not fortuitous but rrstifyinr. The mechanical 10% a 3r;njin* out a norcdivm for the functional ac’lysis of co ionetrio dots would then, tart sene- 7’1 . J- , ‘ I“ ‘H pron matr A analys I . 1 'carriers', etc. II) hotivation or individuals in the test analyzing choice tegrative) level, but are QualifiC? tion. III) Functions The 1) n-zo nin;: srstem for whic the conii ;'ura- tion?1 or i on has function. Psychological Level: First the structure or model of personality is we have "reasons" no ulation cons stitute v lid data behavior in of each particular choice status niera which lead to re- These eananes l 1 . ‘ '3 i. f‘“ “(3 f“ i C V' f“ '_'.v f" ’, .- V‘ ‘ lel‘iK/v ..Ie'..z-u‘iuf NIEJ $3.4qu6 for choices as resorted by when terms of the ;,ycn-lo’ic -l (in- Tful fo- ther levels see nin only with structure: Functions. a) For the psychological level a hifih choice s atus manifestly indicates that the nerson receiving it is socially ac- should be constructed for each individual, then the neculiar choice hyootheca+ 31. In this conne m‘ion it seems advisable to use a basic H v. , (a la narci- 'U m I" (D O :3 y.) lity ner) so that functio can be imputed (to the‘ statues choic ) having (D more :jeneral a7plica- bility. ian schema would allow {D asier interpretation, dvnani- U m r40 *3 ‘00 3. ”'5 -sy- chology fits ee.sily in- to the functional or organismic agproech. cented an nd will derive the conse- ouent increase in security (i.e., his 6:0 is validated) but a latent function may he that this individ- ual is increasi1*lv motivated to leintain his oosition with resultin: instability in his oerconolity. The low man on the choice status unfortunate nosition. Kon- acce otance by a group will naturally lead to some tyre of rersonslity dis- organizatio if the individual values highly oarticication in the oarticular criterion. The effect of the non-random choice status uoon t‘: individual rersonalities u) ! must, of course, always be judged relative to the particular person- ality structures and to ,he criterion. But since a "basic" personality structure would ordinarily demand some social activity, frustra- tion of this "desire could be ex- pected in the case of the under chosen. -49- Interpersonal Level: The mall informal grouns CO to which this term refers are in actual practice the most important (on the basis of permanency and intensity of their existence) subgroups of some institutional struc- ture(s), they are esigned to afford the membership almost nure companionship and thus demand only that they be maintained, and that there be some min- . I imum amount of 'meeting of minds". b) For the inter—nersonal level a high choice status bestows the role of leadershio or more accurate- ly ind.soensability (i.e., in very few interactional situations is this individual omitted). This will lend unity to the group if the individual with the hifh social (1) *5 H status r-oreseits", so to say, the entire group. If, however, there are two or three individuals receiving hich choice statuses and their "constituencies" are mutually exclusive the result may well be a dysfunctional cleavaae the The under chosen of group. individual's frustrations may result in his taking a dim view of all group activities and thus becoming a dysfunctional or damp- enin" factor. The piling uo of U4 individuals on particular choice statuses may indicate a very demo- cratic distribution of choices ‘ also may indicate cleavages L); f'“ 2* (which can be studied seoarately). W: This type of analysis must then be carried out for all configurations over all levels of integration. The additional points which herton requires (mechanisms, alternatives, limits, chan e, validation, and imolications) can in like manner he 34 added. The theory may then hecome a leritigate nortion of t 34 I will avoid the usual comment, "There's a thesis topic here". the social sciences, hut would it become a valu hie one? l‘ ‘0 By our previous criteria of value, existin sociometric if} theory is not worth too much. It is not because of the ex— pense and trouble associated with collectin: the data or in the technioues of analysis. Actually it is in this area that (+- (f) (D :3 'I_Jo Q C (D U) 4' ~ 1 «r - ‘0 ‘ ‘. sociometry is most valusole, e centin , gardens, fl? ‘1 m ~ n- v v‘-\ n 1‘ , , 1. s " w 1.. l‘ - oi matrix analysis which oan, hovever, he seniled ty clerical ‘,'f‘. 1 .0 :V t .r': “w 1J1; fine a 4- an T" n g I? O, 1- ‘m ~ c n r“ a v»: Q A: A1 7‘. f“. uric-IFS. in El :16;. ”V C.1..:\p L'O VL«’.J~-’.L ‘JP n Lit: 5.. vOjc 'C‘Ll'ui L2 ‘v -1“ --Cy p ‘v a r-, ~ 3 ,~ .L .-\ ~.\ 0 V‘- of tne emollnations and predictions W: e:e forced to defend a p 1.: . -. at ~ 0 W. a. ... rae oi theoretical riior whicntOCIOMetry cannot nro- (a 0 ‘b (o ' 3 k 3 1 d. 3 I would then be a cuick efficient techniou 'T, ./ IV Technical Note A. 3xnected Frequency distribution for Pair Relations. The orobability distribution for the comtinotion of values (0, l) for and c s :iven in Table l. §ince Cij 31 i the total possille number of nsiro is Kgythe exnected fre- c l 13 o 2 l d g F-l-d 9‘1 ‘ (N- 1) c 31 2 i dgN-l-dz K-l-d O (K _ l)2 h-l Table 1. quencies are: 2 N d mutual oairs,(2>(m) (013 = ch a l), unrecinrocated Deirg, ('2) iii-$5.1 01.] = C- and ch = 1 or Cij = l and ch = O - 2 on N N-l-d indiiierent pairs, 2 ‘E:§‘ (Cij = Cji = O). 2 The observed frequencies can be compared by )L test with. two degre; \l) 40f fr edom. (D _ h N 5.1 rrobability uistribution for O, l, ..., Mutual Choices when d ' 2 l) The total number of choice patterns for the groun is ‘. fl N-l N v given by (Ed ) which = (N-l)“ in this case (each individual . N-l can make d choices to any of k-l persons, Cd , and, since there '1"-l are N individuals, the Nth power of Cd qives the total number of patterns for the group). 2) The number of choice patterns which include at least ' N-2 ( (N-l)‘ l mutual implies a pair of in- one mutual choic = C dividuals, and GI gives the number of ways this may arise; then when d = 1 those two individual's choices are determined and the staining N-2 persons have N-l possible ways to choose, thus the (Ii-l)“-2 term). 3) The number of choice patterns which include at least 4 *- 2 mutual choices is given by 34 E;(Y—l)k 4 (when d = l, 2 ru- 2 N tuals must involve 4 persons and these can arise in C4 ways. “4 The pairina of these 4 can be done in :2 ways since both pairs 2 are determined then only one pair is assizned; as before there are N-4 persons who still retain N-l possible ways of choosina). 4) By the same procedure we an derive the number of N 5 C4 N-S pattorns includinj at least 3 mutuals, 3g 04 _§(N-l) 3 4 N a 6 c4 N-8 2 mutuals, CF 3/ 34 _§(N-l) , etc., until some one of these -- O 2 5) Then to derive the probability that exactly k mutual choices will occur subtract the number of ways that at least k + l mutuals occur from the number of ways that at least k e the result by the total number of Cu mutuals occur and divi choice patterns. Simplifyin: we get: I ‘1 P [k mutu a1 8] 2(k t l) k + 2 (N-l) 2 N(N-l)...(N-2k + 1) 2(r-1)2—(t-eki(N—2k—1i Fhe derivation of this distribution for d)’l requires elimination of extensive overlap in choice patterns a task requiring much patience and consequently not attempted here. Since most questionnaires requiring d = l are useless the only possible way to utilize such a distribution would be to consider only those mutuals comoosed of first hoices. C. Frequency vistribution for A Posteriori Inter- and Within- class Choices. This distribution beco me s a simole of a chi-sous case "S (D 2 X 2 table test for a Ingroup (a 's in- Cutgrouo (bF's coming choices. incoming choices Ingroup (a)'s out- 3C a 32-h 30 going choices. ’ “ a 3% C n 1 _ v Cut5rouo (o)'s v a b-b b out-Io in.: choices 0 I (3' C) No restrictions on the number of KKK e m s are necessary. Aejections and s '1‘ ’4 (1) term within br- ts is (D “2"44- ' "1‘. l)_"‘ 4'i'1..v J ‘ CflClCeS which an individual 9 *3 . av be analyzed simil°rily enarately, with the ir t3 rpretioo remaining the same f L‘ a 4.1. T7'of’l- I" Lilgn D. A Posteriori Distrioution for Choice Statuses. A possible fit for the choice st tus distribution was sujiested by rreenwood and Yule (.3T cu urnal of the Royal Statis- tic cal Society, 83:235—279, 1923). The basic hyoothesis is that perhaps each individual has a diff ercnt potentiality for drawing choices; maybe this "drawing power" is distributed as some binomial, and the whole function is poisson. We can then at a distribution for choice statuses. This fit is erved data collec ed on a group of hichiqan county l Loomis, C. E., “De onstration in Rural Sociolo y and anthro- pology: A Case Repo rt", fipplied Ant‘m rorolo v, 6.1.10-25, 1947. Choice Cbserved G. and Y. Statuses Frequencies Frequencies O - 2 9 70299 3 - 5 12 16.313 6 - 8 20 17.381 9 - 10 17 13. 504 12 " 14 3 9055 15 - 17 11 5.972 18 " 7 70979 78 79.000 2 f 7L for a. and Y. - 11.08 P = .02 (4-d.o.f.) Thus, although the 3. and Y. distribution is close tothe observed, it does not yet fit. A more fortunate selection of class limits would have Elven a lower chi-square. K? V Summary and Conclusions To more systematically evaluate Chapple's interaction schema and sociometric theory, a review of their properties i o ' o ' 3 in relation to the categories of 'anplicat1on' and resulting | explanations", as discussed in the Introduction, is in order. Since it is the task of coordinating definitions to pre- cisely determine which operations are to be performed in C+ transforming raw data into a concep uel system or empirical constructs, these definitions become the focus of an examina- tion of esearch techniques. In both systems the definitions are sufficiently adequate and objective. 'here is the possible exception of Chapple's definition of "origination" and the dubious, but unavoidacle, practice in sociometrr of naming L' indices with terms widely used in other fields. a H , , 1 In tne area of the efficiency" of tne definitions, botn a timing device and sociometry manipulates matrices, both r (0 LL 1 .- I R- (“ ‘Pf‘ “ ’N T ‘ A A?" ‘ quirin5 cleric #ELJBJCS. it does 833m, however, that the s This process involves the reaction upon the group by the collection of data; that is, the group may actually change its behavior ecause of the investigation. The passive nature of data 1 collection by the Chapole system would be an advantage ‘. 'T —— 4» '. D ‘ 1- -.. indiv1duals were not consc ous oi tne 0 server. maximized if rejections are included in the questionnaire. Such attitudes as are elicited by the sociometrio question- naire are not widely considered as "public" property. If the information is not kept conf dential, it has a tendency to create jealousy, false security, or perhaps,_it is seen as "votes" for which to "campaign". The usual assurances of annonimity are never completely effective. Cutside of these considerations the individual himself may become overly self- conscious and create a false fron as a result of verbelizinm, for the first time, his preferences. These difficulties are, a5ain, common to most social research. I 1 ~ 'nure' theory in tnese . r ahen discussing the value of the two systems it willbe wall to note that the emphasis has shifted from the non-existent mathematical models to more general "theory". It is very difficult to assess the scope of application for these two theories. Both Chapple and the prime representative of sociometry, Moreno, believe their respective theories capable of providing the groundwork for explanation of almost all social behavior. If they imply by this that relatively comolete explanations of any social behavior can be produced from either of these theories, such claims are untenable. In all justice to both theorists, this is probably iot their implication. They are stating, rather, that their propositions will hold true for any social behavior. The question now becomes one of eterminins the limits of applicability for these two theories. __§ Chapple's theory 1 This problem of limits is still not adecuately treated in most theoretical discussions. is extended to all possible relevant measurements of timed O icovered which will ( interaction, if some relationshios are di 1 _ I h determine (i.e., within the system of timed interaction) 'chanres" in equilibrium, and if this completed system is then brouvht ‘ o '1 ' into relationsnip with "social oeiavior', we could examine the 'l ' o n o extent of the 'social behaVior" and be ml to describe the $13 ( )4 (D U) it) "limits". At the pre nt time it is possible to make only rough predictions of m :5 individual's favorable or unfavorahle "reaction" toward conversation with another individual _§ both individuals' previous interaction behavior is krown. This seems tdhe a more restricted aredof social behavior. For sociometry these limits are even more difficult to determine. Koreno does not use the sociometric ques.ionnaire alone, and invariably those who do utilize many and voPlEd O i H C+ (u ‘3 ...). Q) *0 :1 C B (7‘ (D *‘5 O H) O :3‘ O H. O (D m U G) C+ U 0 For each poss ble form of (‘u H. (J (+ ’— O D C.) [‘3 {.21 (D >4 ’{ 3 H in :5 91 Ct Ho 0 :5 0 H3 L) (l) ”S e are, however, ce tain conclusions possible in the f‘ce of particular socionetrically determined . .a -' qp.+n- («A ".V .1 \f‘. m \ irouo structures. ouca phenomena n , _ n ,_ .s favoritism , cleava~ i‘) 'V f) A A w 'w a _‘U_ sciation, cohesion, etc., can oe found to Le press;+ or \ '1 l D ‘1 s A , A 4, L A 4. A 1“ .fl . 0+ o5etr". ouca consecueices have rot been inorou. lJ irreoci- “‘ " " ‘ R D 4'“ ‘f‘ V‘\ f‘fi . fi * 1 ”‘A ‘pA‘L 3m o‘A-1 A) .at d, but oerhros ti; -unc.-oo-l aoarodch \_ll -4 *4. a, o -4 .33 L7 A ‘ T ‘« \ ~.. - ‘l ,1. L‘-,. A 1%., 1—... 1r. 1 to \A0 JLLV JFK-J. it .1... 44 Eaccd fi- ;._, -Afc--t t ‘5‘.» U- 6“; L. 11 L3 (111*; a A - - ‘- - - 2. v- ‘f‘« a ‘- L '- ‘ . 1 3 1‘. ‘, '1‘ |~ -_' f' r ‘ ‘” not he very extensive, out cdey viii or we ly hold true ioi - v v . . - s + ~ "‘ r I" f. 0 ‘-~-. 1“ If... S L; ‘y‘r J 1’1 ‘3' 1 F ‘fi L} V. : 2-1) I»: U ; P3: OI! 1-. S . l4 0 - u.. - 'T‘l— I‘ t‘ +~ ~ A s A ':11 1-.«1»: 1 g t, W‘Cv‘ 3 she iact JEU t.e:c consaqeahces xii n, u tr), ov r ”any 1,—- - p 1 V ‘,g A svs*,”s sill :ervuu: a_l airle*siiors _ 202131 a a _ r. ,‘H\ O J_ o ‘A' a an: L 1_ L‘ b + A leis Ale? easily into a “1 ri'us :31 i. igac is, \Cb; t- JLese and a comparatively low level of integration. For systems of this type it is oossihle to predict that the‘ will not be A x C‘ J 4 n C) 9'1 f " A. " D . n' ‘- erfi M 1 ‘ lie of complete explanations ior clearacivelv colpiex data, but th' (I) H *3 l variety of social situations. 'To prove this proposition consider t1 the only member of R2 was a psuedc-physiolo ical concept (equilibrium and tele). If this concept is a valid one then it will operate in social science as does anv other physio- logical concept: to establish broa’ lizits, but far fro“ a complete explanation f social behavior. The fact that these concepts (equilibrium and tale) are not true physiolcsical concepts, but are actually sociological implies that they ..¢ , l \ )1 \O I W " I . operate similarily, but in a lesser dearee . That is, compared to physiological concepts, they as eblish less broad limits, and more complete explanations, but :aintain their same relative 2 . 1 . ! ~. , , pos1tion witn respect to "most' other socioloxical concepts. ¢ 2 An empirical test of this property has been furnished by the apparent applicability of the Chapple system (i.e., the .‘ social antnropoligical one) in cross-cultural analyses. 1 As a summary statement of the value of tease theoretical (D sys ems, one must first propos that they become more lexically unified as opposed to their present emphasis upon empirical uniformities. Then, it is"lo:ical"to suppose that their con- tributions will become widely applicable, and consequently, "valuable". -60... IV Conjectures on the Broader Aspects of Inter-personal Theory In the course of the above development (of a technique of eve «lue ation and application of this technique to two theore- tica 1 eye wte s) the specific role of inter-personal theory in sociolozy was not adequately delimited. Some attempt was made D by way of the paradi3m to define this role (i.e., as one of the "on-going systems for which the configu1 ration or item has function"). Nevertheless, some further discussion of this role in terms of a sane a1 theory of small groups would be helpful in ascertainin3 the specific "3oals" or "endS" of inter-personal theory. It has al eady been hinted that the goals of inter-per- sonal theory are much more limited than any complete explana- tion. An analysis of the inter-personal field will make this clearer. In the small or primary 3roups, interaction between members is not governed by the broad social norms, but rathei by the principles of "ours sociability" (to use Simmel's term). The rules of behavior are a p; oduct of, or contributed by, the specific interactional situation; that is, they are (to a greats *5 extent than, say, institutionalized behavior) formed "on the spur of the moment" To understand this consider that: (a) by the typi al schema for "acquired rewardS" in- O dividuals learn to value associatin3 or interactinr with other ~J individuals as an end in itself, tutional structure it continues to onerate. Admitting the existence 0: as a "desire") we have now to specifr the tvoe(s) Oi small group structures which will be iormed in the ahsence of insti— tutional factors (e.$., grouns 01 persons occupying similar statuse within the same or similar institutional soructures). consider 0: 0‘) e The profiles, however, is not set up so that we n only that there be some minimum of interaction which will . u . ., satisfy this 'desire” for sociability; and, teen, deduce certain group structures which will maintain interaction. This and "fully equipne " with other behavior which we mentioned is patterns. Ihot only do individuals associate a value with in- teraction per se, hey also have developed beravior patterns for satisfying such a value. Thus we go back to social institutions to determine which behavior patterns will be most likely brought forth in a situa- ‘ tion such as the small group. A set of benav or patterns called Ho ' ' ' 1 w 'baSic oersonality' appear to answer our needs, these behavior patterns are acquired by individuals all through life hut primarily are formed in the earlier years uu to say, 8 to 10 (D y are. The small group structure if it actually deoends upon such 7'1 ,4 behavior patterns will be relative to a given culture. .or -62- this society we could distinfiuish the authority pattern of arent over child and insofar as this prevails predict sone p well de ined hierarchy of influence or power in the small group. Ae could also predict that insofar as the society favors a conjugal type family th-.t any "closely knit" group will be c nperatively small; and insofar as group menhe rs come from an "average” family they will form these "closely knit" groups. The influences from the family are to a. apireciable extent tenpe red by each member's experience as a member of some children's clique or "peer group" Such experiences will have a "democratic" influer ce. They predispose members to form group norms after an aistre.ct principle of "justice", or "fair play", which insists that every member has equal riahts, etc. In like manner we could deduce other properties of inter- personal relationships. Each of these properties then would .I [+- have limited vali i y de:.ndin; upon the extent to which the - ( group members he J9 been subjected to the "common" cultural norms. éut the maintenance of a small group has certain unique properties which will operate upon the members of such a group. Each member in atte pting to keep the group aoin: (we have \J‘S seen hat each member is motivated) will be forced to modi fy to some extent his cul+ urelly relative behavior patterns. Such a principle gives rise to a group's "internal ovn nerisri while the previously considered Fehavior patterns constitute an "external dynamism". The fusion of these two variables with a given social environment determines small group structure. -53- Ia o H What has been termed 'oynamism is 1 ‘ -, ' w tne present time) unoerstandable'. The this lack of knowledge; for, although i C not manv iocial 1,. .2 term, actually, its meaning. It usually occurs when relationships are not pacified, but some uniformity of behavior. Cne method of avoiding the ove "‘ : v‘vA‘. "dyn mic" interpretation is to utilize I . . , sonality' in comrination witn a . . " "requirements for maintaining a small eroup . concept w _ ' may tnen be found to form a 'first 1 structure. ’1 r-generelizat series of deductions in reality "not (at term dynamism indicates t appears to he a reputable r J gupear to understand variables and functional ere there seems to te tions of a w I the concept 'basic per- concerning Both of these s will yield broad properties of group structure which I approximation' to this 1 Such a proce’urc is aain to the type of analysis af’orded by the paraoi m for f notional aralyses. The siecific contribution by inter-personal theory to this methoq is in the descriotion and aralysis of "internal dipsticm" or "requirements for "tinteinin; a small group". Such an analysis, than, crn be concerned with deductions s*ch as, "stme norms of interaction are necessary, among these: a relatively stable tine at which interaction will take place, a relatively well defined pattern of influence, some fethnioues by which deviant nemhero "re "fenced" to corfor: or techniques by which they can be clininsted fro: the jrcuo, etc." Socioxetry (more th"” Chapple) atterrts to make such cor- -64- :1. .3 01" S g n: 01‘ C 5 n .l naopen it is an h, when; C‘ j )- “oeclori .Ann-fl‘ -J‘. +1 U- :11 O 1', a]. .V ,1": t ’6 #1 .L ~_-. A xiv s inter-r- V.‘ C L ... LU wi J C ..L o 1. “Nu Cu .1 :u 07‘ . ..~ 8 ..L H. ~ .7 J 3 a... a. i. 5‘. nl rl 3- r". ..L ‘A svrj v C... .l \A ..-. E 1.1 n5 3“ S .I O . .C kt,“