MARITAL ADJUSTMENT AND INTERACTION, _ RELATED To INDIVIDUAL ADJUSTMENT ‘ 0F SPOUSES IN CLINIC AND ‘ NON - CLINIC FAMILIES Thesis for the Degree of Ph. D. MICHIGAN STATE UNIVERSITY KEES C. HOFMAN 1969 LIBRARY THESIS Michigan State L, University This is to certify that the thesis entitled MARITAL ADJUSTMENT AND INTERACTION, RELATED TO INDIVIDUAL ADJUSTMENT OF SPOUSES IN CLINIC AND NON-CLINIC FAMI LI E 8 presented by Kees C. Hofman has been accepted towards fulfillment of the requirements for _BD_._D_.._ degree in _Es¥chnlogy Date %//7//70 0-169 ABSTRACT MARITAL ADJUSTMENT AND INTERACTION, RELATED TO INDIVIDUAL ADJUSTMENT OF SPOUSES IN CLINIC AND NON-CLINIC FAMILIES By Kees C. Hofman NRarriage assessment primarily consisted of self- repcurt :instruments, as represented by the Locke-Wallace ScaJxa oo onmocmpm new some you oo3mxm oop sumo mo cowpsnappmamm om. m.m sm.z m.mm mmcmfim acaa>ta so tanssz om. mm.m o.ma mw.m ma.oa AH.: ae.m cofipmawmch mpaamcomtta Hm. 3H.» me.am OH.HH Hm.=m H.ma m.m~ mfimotsmz mm. mw.m ma.mm NA.HH mm.ofi m.ma o.mo twosomao ASAHmcomttm mm. mo.m mm.m= ma.o oa.ms =.m s.m: mfimonoamd Am. mo.» 30.:0H mH.m om.mm s.mH m.mm pctspmsnomamz Hmtmcmo om. Hm.m op.mm mm.ma o:.:m m.aa m.Hm t>apamoa t>amctemo mm. Ha.om OH.OMH mfi.am :a.oma H.Hm =.HNH soapsnatpmao so. om.e no.5m m=.mH mm.ma m.:a m.Hm suaaanmapm> om. 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AH.H oapam tmaamttate mp. mm.m Am.mm op.m am.mm m.m. o.mm amaoapaao eatm ASAHapmfiHtm .o.m cat: .a.m cats .a.m cat: ttoom Amuv axons Hm Awmmv Q2090 Enoz Ammmv daoao scraped masopo oopce mom mowoom meme mo zuHHHanHom new mcoaumfi>oo H mHDwB opmocwum .mcmoz 28 Mean scores were reported to be 135.9 and 71.7 for the well- and mal-adjusted groups respectively which was inter- preted to show that: ". . . this short marital adjustment test clearly differentiates between persons who are well- adjusted and those who are maladjusted in marriage (p. 255)." Hawkins (1966) investigated the possible confound- ing influence of the social desirability of the LW items. The LW and the Marlowe—Crown social desirability scales were administered to A8 couples. Correlations between the scores were reported to be .31 for males and .37 for females. These correlations, although statistically significant, led to the conclusion that social desirability is not a major factor in the LW score. A number of experiments used the LW as an indepen- dent variable. Murstein (1961), in an investigation of the pattern of psychological variables between spouses, used the LW as a criterion measure of marital adjustment. Similarly, Katz (1965) differentiated happily versus unhappily married couples using the LW. Navran (1967) also used the LW as a measure of marital adjustment and reported positive correlations between the LW and a self- .report assessment of communication effectiveness within the marriage. Family Concept Inventory The FCI, reproduced in Appendix A (p. 126), was developed from the original Q sort constructed by 29 van der Veen et a1. (196A). The original Q sort contained 80 statements, however, only A8 of these entered into the scoring. Van der Veen et a1. (196A) reported significantly different mean adjustment scores for well-adjusted and mal—adjusted families (means were 35.2 and 27.9 respec- tively; N = 20). Van der Veen et a1. (196A) also reported a significant positive rank-order correlation between the LW and the Q sort (3 = .67; N = A0). Van der Veen & Ostrander (1961) reported a median test—retest correlation of .7 over a four week period. Hofman (1966) administered both the Q sort and the critical A8 items in a true—false form to a sample of 25 couples and reported a correlation of .72 between the two forms and an internal consistency index of .8A for the true—false form. Palonen (1966) developed a five-choice form for the same A8 items (the FCI) and reported a split-half reliability of .85 (N = 80). Several studies have used both the LW and some form of the FCI on the same group of subjects. Correlations between the two measures as well as between husband and wife are summarized in Table 2. Revealed Differences Tasks Three RDTs were used. These are reproduced in Appen- dix A (pp. 120-123. All three present a hypothetical problem-situation which could arise in a marriage. The first deals with allocating money, the second with childrearing policies and the third with methods of birth 30 Table 2 Correlations between Husband's and Wife's Marital Satisfaction Scores and between the Locke-Wallace and Family Concept Instruments LW FC-Q sort FC-TF FCI Locke-Wallace Scale .281 .582 .681 .58 67 .761 Family Concept Q-Sort Family Concept True-False 2 Family Concept .65 Inventory 726 Note - Husband-wife correlations are below the diagonal. 1. From Hofman (1966) N = 25 2. From Palonen (1966) N = A0 3. From Van der Veen (196A) N = 20 A. From Hoeg (1965) N = 22 5. From Powell (19657 N = 23 6. From Updyke (1968) N . 23 a. Low adjustment group b. High adjustment group 31 control. Each task has a list of eight solutions. §s were instructed to rank these solutions in order of preference. After this had been done, §s were instructed to answer the same tasks jointly (see procedure below). This procedure yielded three rankings for each of the RDTs, one by each of the spouses and one reflecting their joint decision. The discussion which ensued was tape-recorded and then typed. After the first typing it was corrected twice by two different judges and then again typed. Two sets of interaction measures were derived from this procedure: (a) decision efficiency measures and (b) discussion ratings. These will be discussed in turn. Decision Efficiengy Measures were largely borrowed from Ferreira (1963) and Ferreira & Winter (1965). Decision Time (DT) was defined as the time, in seconds, needed by §s to complete the three RDTs. DT was measured by timing the appropriate parts of tape—recordings. Spon- taneous Agreement (SA) was defined as the degree of agreement between spouses prior to any consultation. SA was obtained by a rank-order correlation between spouses' individual rankings. Choice Fulfillment (CF) was defined as the degree to which individual choices also became joint choices. CF was obtained by a rank-order correla- tion between §s' initial choices and joint choices. Pre- vious research has shown that clinic families on the average need more time to complete a given task than normal families (see Ferreira, 1963; Ferreira & Winter, 1965; 32 Ferreira, Winter & Poindexter, 1966; Haley, 1962; and Cheek, 196A). Normal families also have shown greater SA than abnormal families. (See Ferreira, 1963; Ferreira & Win— ter, 1965 and Bodin, 1966). Non-clinic families, compared to clinic families, also Show a greater degree of CF. (See Ferreira, 1963 and Ferreira & Winter, 1965). Discussion Ratipgs were based on a system developed by Argyris (1965, A, B, and C). Central to this system is the concept of competency in interpersonal relation- ships. Argyris defined interpersonal competence as: "1. One's awareness of relevant factors (relevant factors are those that have an effect), 2. problems are solved in such a way that they remain solved, 3. with a minimal deterioration of the problem-solving process (1965 B; p. 59)." This definition led to a system of categories of interpersonal verbal behavior. Such behaviors as "owning, being open, and experimenting" are characteristic of and increase interpersonal competency, while "not owning, not being open and rejecting eXperimenting" are detrimental to the problem solving process. On the interpersonal level, the same categories are defined as "helping others" or "not helping others to own, be open and experiment." In addition, each behavior is also rated as involving either feelings or ideas. The complete system of cate- gories as used in this study is presented in Table 3. 33 .Ammmav maszws< Eon: oouamom manna "ouoz NI m u:oEfi:ooxo on mat a w:au:oefipoqxo Ox? at H mso:po dam: uo: :HI H w:fiuoonon e a. on a code on or man a w mt H mumsuo dam: uo: mt fl :oao no: Tr who:o>auoommm M mscwz oommosooa w 3 mt m :30 on :HI 9 8 ml a msonuo dam: no: mt a w:H:zo no: osoN m m :30 m m Mus m H on wsocuo dam: H a w:a:3o Tea NM. 3 : coao to S : mww m a on msonpo dam: m H who::oqo B wmoco>fiuoommm m u moan oommoso:H % 4x ma m u:oEH:ono ma m u a on wsocuo mac: n H w:Hp:oeH:ooxo monouso unmfioz Hm:om:oo:ou:H unwfios Hmsofi>ao:H ho:opoQEoo Hm:om:oo:op:H ou nonmaom :oa>m:om mo moasowopmo m manna 3A The system provides numerical values for each rating (see Table 3). An individual's index of interpersonal com- petency (IC) is a ratio of weighted sum of ratings over highest possible weighted sum of ratings; i.e. number of units scored multiplied by 16. This index behaves as the correlation index with minus scores indicating low inter- personal competency and plus scores indicating high inter- personal competency with minus 1 and plus 1 as limits. Argyris (1965A) reported a minimum percentage agreement of 86 between experienced raters before any discussion of discrepancies. Argyris (19658) also found that 1 group members' 10 scores correlated significantly with staff interpersonal competency ratings for the same members. The staff members were not familiar with the system of cate- gories. Other data (Argyris, 1965A) suggested that members with higher IC scores showed more growth and greater satis- faction with the 2 group sessions than those with low IC scores. In summary, the preliminary research reported by Argyris suggests that the system of categories can be reliably used to measure an important aspect of individual and group communication abilities. Subjects A Clinic (N = 15) and Non-Clinic (N - 15) sample of couples were recruited. The Clinic Group was obtained through the cooperation of therapists at a Community Mental Health Clinic. Criteria for the clinic sample were 35 that one of their children had been referred to the clinic and that they had been married for at least four years. After therapists nominated couples, N contacted them by phone and asked them to participate in a research project which would require approximately an hour and a half. S3 were told that they would be asked to complete a number of questionnaires and to discuss some topics. Participation rate of those contacted was approximately 80%. Only one couple flatly refused to participate and two other couples did not participate because of time-scheduling problems. §s were paid five dollars for their participation. The Clinic Group also included two couples from an ongoing marital therapy group who were not paid directly but were remunerated by a reduction in fees. The Non-Clinic Group was recruited with the coopera- tion of two local ministers of a moderately conservative and a liberal church, both Protestant. In one instance, the minister mailed a letter explaining the project to about twenty couples whom he thought to be well-adjusted and happily married. Ten of these responded. Letters were also sent to nine couples nominated by the other minister and six of these responded. It was discovered that three or these sixteen couples had one child who was, or had beer“ referred to a mental health clinic for what appeared t“) be emotional difficulties. These three couples were 1rHzluded in the Clinic Group. Three more non-clinic 36 couples were recruited through the cooperation of a teacher at a nursery school. Non-clinic couples were paid fifteen dollars for their participation. Procedure §s were seated in the same room either at oppositely facing desks or across a rather large table. §s were pre- sented with a booklet which included a general introduction and instructions followed by seven tasks. Tasks l, 2, and 3 consisted of the three Revealed Differences Tasks. Task A consisted of the LW and Task 5 of the FCI. The TSCS constituted Task 6. ‘Qs were instructed to complete the tasks separately without consulting each other, suggesting or discussing the answers. They were also informed that a tape-recorder (clearly visible) was present in the room and would be used later. At that point N left the room informing §S that he was available in the next room if problems arose. After §S had finished the six tasks they notified N who quickly checked their booklets to ensure that these had been completed properly. N then engaged the tape-recorder and instructed §s to again complete Tasks 1, 2, and 3 but to produce a ranking of solutions for each of these tasks which would be satisfactory or acceptable to both. After answering any questions Q again left the room. Upon this joint completion of Tasks l, 2, and 3 §s again notified N who then instructed §s to complete a short demographic questionnaire. Payment of §s marked the end of the procedure. Hypothesis 1. CHAPTER III HYPOTHESES Mean MA scores, both LW and FCI, are signi- ficantly higher for the Non-Clinic Group than for the Clinic Group. Clinic Group mean scores are significantly higher on the pathognomonic scales of the TSCS, especially NDS. Non-Clinic Group mean scores are signifi- cantly higher on the self-esteem scales of the TSCS, especially TP.~ Mean SA scores are significantly higher for the Non-Clinic Group than for the Clinic Group. Mean CF scores are significantly higher for the Non—Clinic Group than for the Clinic Group. Mean DT scores are significantly higher for the Clinic Group than for the Non-Clinic Group. 37 10. 11. 12. 13. 1A. 15. 16. 38 Mean 10 scores are significantly higher for the Non-Clinic Group than for the Clinic Group. There is a positive correlation between spouses' TSCS scores, specifically TP and NDS. There is a positive correlation between TSCS self-esteem scores and MA scores. There is a negative correlation between TSCS pathognomonic scores and MA scales. There is a positive correlation between MA scores and positive interaction scores; i.e., SA, CF, and IC. There is a negative correlation between MA and DT scores. There is a positive correlation between TSCS self-esteem and positive interaction scores. There is a negative correlation between TSCS pathognomonic scores and positive interaction scores. There is a positive correlation between DT and TSCS pathognomonic scores, and a negative correlation between UT and TSCS self-esteem scores. There is a positive correlation between IC and CF. CHAPTER IV RESULTS Demographic Variables Comparative means of demographic variables for Clinic and Non-Clinic Groups are presented in Table A. Clinic § were significantly older (p < .001) and had been married longer (p < .05). There were no statistically significant mean differences for annual income, educational level, number of children or social class (social class was deter- mined after Hollingshead, 1959). When males and females were considered separately, non-clinic females had a significantly higher educational level (p < .05). Marital Adjustment Scales Hypothesis 1 predicted significantly higher mean Marital Adjustment (MA) scores for the Non-Clinic than the Clinic Group. The results, presented in Table 5, con- firmed this hypothesis. The Non-Clinic Group obtained significantly higher mean LW and FCI scores than the Clinic Group (E < .01 and p < .001 respectively; one tailed 3 tests). These differences still held when males and females were considered separately; however, the signifi- cance levels were reduced (see Table 5). 39 A0 oaaoouozu .Hoo. v.m... oat» oIo ammo w ooaaeouoze .Ho. v we. use» p ooaaeotozo .mo. v m. w.m mm.ma m.=m N>.mH H.0m mmeo Hwfioom m. mN.H >.m m>.H m.m concafico Mo #09532 ceases: mm.m mm.m ~.oa Hm.m m.mH memo» no sonesz Azaams::m u.m NH.: 0.0H mm.m ~.ma mo:mm:o:uv osoo:H *m.a ma.m m.mH om.m m.mH moamsom H.m mo.m 5.5H mo.: m.mH mmamz m.H nm.m m.ma NH.m e.ga :oautosom a:m.m mu.m >.Hm mm.m m.oz monEom aaw.m em.> H.mm mm.m m.a= moan: ***N.w wn.w m.mm Hm.m N.H= mw< oo:o:mmmaa :moz mm :moz mm :mm: manmfism> ozosu 0H:HH0I:oz ozone ofi:HHo : oases m:oHumfi>om o:mo:m»m o:m m:moz .moanmfism> ofisowswosoo A1 So. v a... women m ooafieutoco Haa moo. v as. mo. v.ma .e.m.mm me.oH H.omH e=.oH o.mma modest: .a.o.a~ oa.oa H.mmH om.oa m.oma meat: .e.o.om me.oa o.oma mm.oH o.oma stoocoscH oooocoo eases: .o.oH AH.HN A.HNH em.mm s.moa modest: .m.mH oo.ma =.mma mo.oa H.oHH mode: *.A.ma om.sa H.NNH Hm.mm s.ooH oaeom ooeHHeztoxoog oo:o:ommam :moz mm :moz mm :mm: mapwfism> moons oH:fiHoI:oz ososc 0H:HHO m:oapmfi>oa osmp:mum o:m m:moz .mosoom p:oEpmzno¢ Havana: m magma A2 Inspection of the correlations between MA and demo- graphic variables (see Table 28) revealed statistically significant correlations between FCI and number of years married and age (g =-.39 and -.Al respectively). Since clinic couples had been married longer than non-clinic couples, and since these variables were negatively corre- lated, the difference in MA scores between groups could be explained as due to the difference in number of years married. To control for the number of years married, an analysis of covariance, with number of years married as covariate, was used. The analysis is summarized in Table 6. The highly significant Group effect suggests that mean MA differences were not simply attributable to age differences. Table 6 Analysis of Covariance, Family Concept Scores with Number of Years Married as Covariate Source g; N§ N p Sex (A) 1 8.1 NS Groups (B) l 9l6A.6 30.32 v .001 A X B l 209 NS Error ' 56 302.3 Product-moment correlation coefficients, multiplied by 100, between LW and FCI scores are listed in Table 7 for all Ss and also for sexes and groups separately. “3 Table 7 Correlations between Locke Wallace Scale and Family Concept Inventory Subjects , N 3* p All Subjects 60 55 .0005 Males 30 61 .0005 Females 30 52 .005 Clinic Group 30 A5 .05 Males 15 60 .05 Females 15 33 N§. Non-Clinic Group 30 Al .05 Males 15 A3 NS Females 15 50 NS *3 multiplied by 100 Tennessee Self Concept Scale Hypotheses 2 and 3 predicted significantly higher pathological scores for the Clinic Group and significantly higher Self—Esteem scores for the Non-Clinic Group. TSCS means are presented in Table 8. Both predictions were confirmed. The Non-Clinic Group reported significantly higher self-esteem in all areas than did the Clinic Group, with the exception of the Moral Ethical-Self Score which did not differentiate the two groups. The differences between groups held when males and females were considered separately (see Tables 9 and 10). 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The only exception was the Defensive Positive Score which was signi- ficantly higher for the Non-Clinic Group. It should be noted that General Maladjustment, Personality Disorder, and Neurosis are inverse scales; i.e. a high score is indicative of less pathology. The response-set measures and empirically defined scores (Total Conflict, Net Conflict, True-False ratio, Distribution, and Total Variance) did not differentiate the two groups as clearly. The Clinic Group scored signi- ficantly higher on Total Conflict and Total Variance. Product-moment correlation coefficients, multiplied by 100, among TSCS scores for all §s are presented in Table 11. Interaction Scores Spontaneous Agreement SA scores were obtained by multiplying by 100 the rank-order correlation coefficients between spouses' initial rankings for each of the three tasks. Hypothesis A predicted significantly higher mean SA scores for Non- Clinic than Clinic couples. This prediction was only partially substantiated. 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There were no significant mean SA differences between the two groups on Tasks l and 2. Table 12 Spontaneous Agreement, Means and Standard Deviations Clinic Group Non-Clinic Group Task Mean §Q Mean §2’ Mean Difference 1 53 31 61 21 8 2 77 16 73 20 H 3 35 35 63 21 28* total 55 17 66 12 . 11* *2 < .05; one-tailed t test SA scores were also analyzed using a Group X Task, repeated measures, analysis of variance (Winer, 1962; p. 306). The Nflnmary of this analysis is presented in Table 13. The main Task and the Task X Group effect were statistically Sigrufdcant, while there was no significant Group effect. 3A scores are also presented in Figure l. 50 Table 13 Spontaneous Agreement, Analysis of Variance Source g; MS 3 3 Between Subjects 29 Groups (A) l 1285 1.99 NS Subjects within Groups (B) 28 6“? Within Subjects 59 Tasks (C) 2 5236 8.5“ <.Ol A X C 2 1985 3.2N <.05 B X C 56 613 Figure l Spontaneous Agreement Scores for Groups and Tasks Spontaneous Agreement 80 7o , ...____ C)’.",1>;V”’ \\\ 60 x,/’/’ \\\ -~~--~O 50 \ \ MO . ‘x 30 Task 1 Task 2 Task 3 x - clinic group 0 = non-clinic group 51 Choice Fulfillment CF was obtained for males and females separately by multiplying the rank-order correlation coefficient between Ss' initial ranking and the joint ranking for each of these tasks. Hypothesis 5 predicted significantly higher mean CF scores for Non—Clinic than Clinic gs. This pre- diction was not substantiated. CF means are presented in Table 19.1 There was no statistically significant mean difference for any of the tasks nor for the total CF score. Table 1n Choice Fulfillment, Means and Standard Deviations Clinic Group Non-Clinic Group Subjects Task Mean SD Mean SD Mean Difference Males l 80 22 87 ll 7 2 87 ll 82 38 5 3 7A 27 67 33 7 Total 80 12 79 15 1 Females l 76 25 72 20 A 2 91 O6 79 38 12 3 62 3H 7H 39 12 Total 76 17 75 12 1 CF scores were also analyzed using a Group X Sex X Task, repeated measures, analysis of variance (Winer, 1962; D. 337) which is summarized in Table 15. The main Task Effect contributed significantly to the variance. None of the other main or interaction effects was significant. 52 Table 15 Choice Fulfillment Scores, Analysis of Variance Source 22 Mé, E E Between Subjects Groups (A) l 69 NS Sex (B) l 631 NS A X B l 2 NS Subjects within Group (C) 56 771 Within Subjects Tasks (D) 2 3733 4.95 <.05 A X D 2 597 NS B X D 2 “59 NS A X B X D 2 927 1.23 NS D X C 112 75“ Decision Time DT scores were obtained separately for the three tasks by timing the relevant sections of the tape—record- ing. Only that discussion related directly to the solu- tion of the problem was included. Hypothesis 6 predicted significantly higher mean DT scores for Clinic couples than for Non-Clinic couples. This prediction was not substantiated for any of the tasks nor for the total time. Mean DT scores are presented in Table 16. There were no significant differences between the two groups. DT scores were also analyzed by means of a Group X Task, repeated measures, analysis of variance (Winer, 1962; D- 306) which is summarized in Table 17. None of the effects was statistically significant. 53 Table 16 Decision Time, Means and Standard Deviations Clinic Group Non-Clinic Group Task Mean SD Mean SD Mean Difference 1 173.5 79.59 203.2 9A.62 39.7 2 2A5.3 138.62 200.7 108.29 AA.6 3 287.0 205.29 218.3 101.20 68.7 Total ' 705.9 317.3“ 627.1 236.21 78.8 Note--Time scored in seconds Table 17 Decision Time, Analysis of Variance Source g; M§ E 2 Between Subjects Groups (A) 1 15A97.3 NS Subjects within Groups (B) 28 26082.9 Within Subjects Tasks (C) 2 28629.0 2.A6 <.l A X C 2 21955.7 1.89 <.25 B X C 56 11611.9 Dominance An additional interaction measure was developed to measure the degree of influence each spouse exerted on the final or joint ranking, compared to the influence of his/ her spouse, taking into account the degree of initial agreement. This index of dominance (DOM) was defined as 5A Chm _ CFf 100 — SA ' dominance of husband; i.e. the final ranking is deter- A DOM score approaching +1 indicates mined primarily by husband's initial ranking. A DOM score near zero indicates compromise or a nearly'equal degree of influence on the joint decision. Wife dominance is indicated by a DOM score at or near -1. The actual numerical values obtained as DOM scores were categorized as +1, 0, and -1. Limits for these categories were arbi- trarily set at +.33 and -.33. DOM frequencies are pre- sented in Table 18. These frequencies were analyzed using a Chi-square technique. For Task 1 there was no relation- ship between group membership and dominance pattern. However, there was a clear tendency for all couples toward husband dominance on Task 1 (pg< .005). There was no rela- tionship between group membership and pattern of dominance 0n Tasks 2 and 3 nor was there a tendency of all couples to favor any of the dominance pattern when summed across tasks. DOM scores were further analyzed using a Group X Task, repeated measures, analysis of variance, which is Summarized in Table 19. None of the effects was statis- tically significant. Frequencies of Dominance Patterns 55 Table 18 Husband Wife Task Group Dominance Compromise Dominance 1 Clinic 8 2 5 Non-Clinic 10 3 2 2 Clinic A 7 A Non-Clinic A 6 5 3 Clinic 5 6 A Non—Clinic 5 2 8 Table 19 Dominance Scores, Analysis of Variance Source g; MS 5 9 Between Subjects Groups (A) l 0 Subjects within Groups (B) 28 .88 Within Subjects Tasks (C) 2 1.75 3.07 <.1 A X C 2 1.7 3.00 <.1 A X B 56 56 .——-9 Interpersonal Competency Interpersonal Competency ratings were obtained from the typescripts by an advanced graduate student in Clini- cal Psychology and the investigator. Both raters rated all type-scripts independently. Mean agreement between raters was 81.2%. Disagreements in ratings were discussed until resolved. IC scores were computed from mutually agreed-upon ratings, and were computed for male and females Separately for each task. The IC scores of spouses (ICm and ICf) were combined for the couple scores (ICC). Hypothesis 7 predicted higher mean IC scores for the Non-Clinic Group than the Clinic Group. This prediction was not supported. Means are presented in Table 20. There were no statistically significant mean differences between the groups for any of the tasks, nor was there a difference between total IC scores (see Table 20). The IC scores were further analyzed using a Sex X Group X Task, repeated measures, analysis of variance (Winer, 1962; p. 337). The summary of this analysis is presented in Table 21. Total number of units rated and frequency of ratings in each category are presented in Table 22, For both Eroups, 65% of the ratings were in the "own ideas" cate— gory, Significantly more feeling scores were assigned to Interpersonal Competency, Means and Standard Deviations 57 Table 20 Clinic Group Non-Clinic Group Subjects Task Mean SD Mean SD Mean Difference Males 1 35 35 26 31 9 2 1A 38 19 37 5 3 3A “3 33 31 1 Females 1 AA AA A2 26 2 2 39 A1 3A 32 5 3 32 A3 33 35 1 Couples 1 39 25 3A 16 5 2 23 38 27 23 A 3 3A 31 33 23 l Males Total 29 26 25 2A A Females Total 36 28 35 21 1 Couples Total 32 22 3O 12 2 Note--Actual scores were multiplied by 1000. Table 21 Interpersonal Competency, Analysis of Variance ‘1 Source <_i_f; MS 3 2 Between Subjects Groups (A) 1 862.A NS Sex (B) 1 2993.1 NS A X B 1 2319.5 1.Al NS Subjects within Groups (C) 56 2119.7 Within Subjects Tasks (D) 2 17AA.5 1.61 NS A X D 2 293.2 NS B X D 2 1115.6 NS A X B X D 2 628.1 NS C X D 112 1086.8 .1, w— ,u 58 Table 22 Frequencies of Interpersonal Competency Ratings Ratings Clinic Non-Clinic Group Group Ideas Positive 1852 1529 Own 1500 1236 Open 3AA 288 H. own 8 5 Negative A03 337 N. own A2 36 N. open 0 3 N. H. own/open 361 298 Feelings Positive 65 29 Own 62 27 Open 2 - 2 H. own 1 0 Negative 18 2 N. own 10 2 N. H. own 8 0 Total Ratings 2338 1897 the Clinic Group than to the Non-Clinic Group (X2 - 1A.67 With l g;; p < .005). The distribution of positive versus negative feeling scores was independent of group status (52 - 3.55 with 1 93;; NS). Product-moment correlation coefficients, multiplied by 100, between interaction scores are presented in 'Pables 23 and 2A, for total interaction scores and for each task separately. 59 .ma00050000 x000 £000 000 000000 :0a000n000a 000:» 00050 0:0a00a00000 00200000 :m 0an09 cmaamptozp .ao. v_m.. omaamutozp .00. v 0. om t m 05050000500 a0comp0qn000a 5at 0050:0500 mm mot 0205000m< 03005005000 mot mot ammt 05a9 coa0a00a .mm .o:t ..a0 .mmt augmeaaaaasm moaoco mo .0: mm mat 5m gunmeaaaaasm 000050 came mo am: omt mxom oa 05050000500 a020050000ucH 00:5 wmt mo oa mo mot mo 55050000500 a0000a0000uCH 0 m 5 0 0a :00 40 90 mo mo 0H x0oca 005000 amuoe coapo0p005a wco50 0:0ap0a0ppoo mm 0a909 om u m DmaaquOZa .Ho. v dz: cmaamatozp .00. v 0* m wot m mm ma a zoo amt mo :at m 50. 5o mat ma 0 act :0 ca mo 50. a <0 mot mo. 00 mm- act 02 m mo :0. Nat mm- .:o0t co mm m 50 mo mm 50 mo *o:t *mm 5a a 50 «*owt mat omt *xmm mot mo mmt mot oat m n0 5a- mm- 00 Na 0.00 no mot cat «at :a m 0 r0 mo mo .m:t mo mo *xm0 mat 0o- *xumt so act a 00 *5m mot mo- 50 amt mat aat 0 0a so .a. a1- m wmt 5m 00 om *0: ca 00. :at ac :a **.a :2- not 0 5 mm 00 .*O5 mat mot **00 50 :at mo oat ca ac aat :c a 00 mmt om 00 *0m :a :0 amt mat 0o- *:: :at .2 00 cm mat m 50 mat mo am :0 00 0a 0a. cot mat 0a ,2 aa 00 :at aa 0 0 mmt 5a 5a- ma am mot mot :0t 50 *aa ma co (mt mm amt 5m oat a 0a mo. **0: 5ot 0a mo 0a 00 a0 am 5ot oat ea 0a 0a :Ot ac mm amt m 00 oo mmt mo 50. mo- ca :0 00. aa 0:. :0 co mmt *::t mot 0a 0st :0: m 5 act mmt **mmt aot met mat mo 5a mat 00 ac an ma a0- *amt «at me 0mt ma .m: a 0a m m a m m a m m a m a a m m a m m a m a :009 xmuca 200 «0 a; 000 500 . 00a E0a x005 £000 000 000000 :0a00000pca 0:050 0:0a00a05500 61 Hypothesis 16 predicted IC to be positively corre- lated with CF. This Hypothesis was supported for females but not for males. ICf 3 and ICf total correlated signi- ficantly with CF 3 and CF total respectively but there was a significant negative correlation between 10m 1 and CFm 1 (see Tables 23 and 2A). Interspouse Correlations Hypothesis 8 predicted spouses' total self-esteem (TP) and overall pathology (NDS) to be positively corre- lated. Interspouse correlations for these and most other individual scores are presented in Table 26. The predic- tion was generally substantiated. The TP interspouse correlation was significantly different from zero, as were the Identity, Self Satisfaction, Behavior, Personal-, Family-, and Social-Self scores (see Table 26). However, the NDS interspouse correlation was -.O3; riot significantly different from zero. This correlation Inay be somewhat misleading since the distribution of NDS Scores is highly skewed, approaching a J curve. To further investigate the relationship between spouses' NDS scores, each S's NDS score was classified as + or -; i.e. S's NDS Score was less than or exceeded the critical score of 10. “he results of this categorization are presented in Table 25. 62 Table 25 Pattern of Couples' Number of Deviant Signs Scores Clinic Group Non-Clinic Group Husband + + - — + + - - Wife + - + - + - + - Frequency A 5 A 2 l2 3 0 0 Table 26 Interspouse Correlations All Clinic Non-Clinic Subjects Group Group (30) (15) (15) Total Positive .A8** .2A .38 Identity .37* .11 .27 Self-Satisfaction .A0* .lA .A3 Behavior .37“ .33 .19 Physical Self .25 - .10 .30 Moral-Ethical Self .23 .18 .28 Personal Self .A5* .30 .31 Family Self .53" .AO .lA Social Self .39” .11 .A6 True-False Ratio .22 .16 -.05 Distribution .17 .A2 .32 Defensive-Positive .A9** .37 .63* General Maladjustment .26 -.01 .1A Psychosis .05 -.22 -.08 Personality Disorder .A1* .16 .58“ Neurosis . .52** .32 .36 Personality Integration .06 -.21 .32 Number of Deviant Signs -.03 -.38 .00 Self Criticism .AA* .80" .11 Net Conflict .09 .01 .23 Total Conflict .05 .01 -.08 Total Variance .17 .0A .27 Locke—Wallace Scale .AA* .A2 .25 Family Concept Inventory .62** .36 .A3 Interpersonal Competency l -.26 -.19 -.A3 Interpersonal Competency 2 .16 .3A -.05 Interpersonal Competency 3 .01 .02 .00 Interpersonal Competency Total .02 .3A -.A3 *p < .05 “.2 < .01 two-tailed test 63 When the couples were categorized as "spouses similar" versus "spouses dissimilar," in terms of NDS, it yielded a pattern as presented in Table 27. Table 27 Similar versus Dissimilar Couples in Both Groups Clinic Group Non-Clinic Group Spouses Similar 6 12 Spouses Dissimilar 9 3 0n the basis of Chi-Square test, the null—hypothesis of no association between group status and pattern of similarity can be rejected (32 a 5.00; g; = l p < .05). When the two groups were combined there were 18 "homogen- eous" and 12 "heterogeneous" couples. This ratio of .6 was not significantly different from .5 (g a 1.22; p < .39). The interspouse correlations for Defensive Positive, Personality Disorder and Neurosis were significantly dif- ferent from zero in the predicted direction. None of the interspouse correlations of response-set measures were significant. .The very high (3 I .80) interspouse correla- tion on Self-Criticism for the Clinic Group was not repeated in the Non-Clinic Group. ’6“ Both the LW and FCI interspouse correlations were significantly different from zero. There were no signifi- cant interspouse correlations for the IC measure. Relationships among Variables Demographic Variables and Marital Adjustment Scores Product-moment correlation coefficients, multiplied by 100, between demographic and MA measures are presented in Table 28. Age and number of years married were negatively correlated with FCI and to a lesser degree positively correlated with LW. Income tended to be negatively corre- lated with both LW and FCI, however, there was considerable variation in this relationship between groups. Number of daughters tended to be positively correlated with LW. Demographic Variables and Tennessee Self Concept Scale Product—moment correlation coefficients, multiplied by 100, between demographic and TSCS scores are presented in Table 29. Most of the correlations were low, with few statistically significantly different from zero. NDS was positively related to age, and negatively to level of education, which in turn was positively related to Per- sonality Integration and negatively related to Total Con- flict. Also, annual income was positively related to Psychosis. 65 ammo omfifimpuozp Ho. v my» “mo. v m. cm u 29 .om a 2m ma .amm mm HH ma- ma mH 3H Ho ma cmaoafino so .mm *sm mm Ho mm am am ma .mm mnmpnmsma NH mm aa mo- om- mo- OH- NH- man OH- meow no man: mm! mm *tmml 0H mml mo xtmml ma Umfihhmz mhwmw so- Nm mm- .03. was- man mm- om- .mm- Hm- meoocH mm- mo mo- 0H- ma Ho so mo: OH mo coaumosom Ho .H: ma: 3mm **smu mo mm: mo ..H:u mo mw< Hum 3m Hum :4 Hum :4 Hum 34 Hum 34 OHcHHoncoz poacfiao pmmHmEmm nmmfim: «muomfinsm HH< monommmz pcosum3n6< Haufipwz new oasampwosmo cmmzpmn mCOdumHmhnoo mm wands Correlations between Demographic Variables and 66 Table 29 Tennessee Self Concept Scale; All Subjects Years Age Education‘ Income -Married~ Total Positive -19 -02 ~12 L014 Identity ~17 ~08 ~l3 ~0U Self Satisfaction ~16 -02 ~09 -03 Behavior ~15 ~02 ~14 —ou Physical Self ~21 01 -11 ~03 Moral Ethical Self O3 -O2 O6 16 Personal Self ~22 ~13 ~09 ~08 Family Self ~18 O7 -21 —15 Social Self -08 -Ol -09 -Ol True—False Ratio 11 ~22 09 12 Distribution 09 ~29 ~06 12 Defensive Positive ~07 ~09 ~21 03 General Maladjustment ~12 00 ~13 05 Psychosis 2M 08 29* 17 Personality Disorder ~06 ~05 00 03 Neurosis ~3l* ~03 ~l7 ~20 Personality Integration ~10 3H** 12 03 Number of Deviant Signs 37** ~28* 19 2M Self-Criticism ~07 10 03 ~07 Net Conflict 09 00 16 08 Total Conflict 18 ~37** ~20 08 Total Variance 17 ~11 ~02 05 y_=6o *p < .05 **E < .01 two—tailed test 67 Demographic Variables and Interaction Scores Product-moment correlation coefficients, multiplied by 100, between demographic variables and interaction scores are presented in Table 30. Number of children was correlated positively with CFm 3, CFm total, DOM 3, DOM total, and with DT 1. Number of children was negatively correlated with CFf 3. Number of years married was posi— tively related to DT 2 and DT total. Annual income was related positively to DT 3 and DT total. Social Class was correlated negatively with SA 2. Marital Adjustment and Tennessee Self Concept Scale Product-moment correlation coefficients, multiplied by 100, between MA and TSCS scores are presented in Tables 31 and 32. Hypotheses 9 and 10 predicted positive corre- lations between MA and TSCS self-esteem scores, and nega- tive correlations between MA and TSCS pathology scores. These hypotheses were on the whole confirmed. TP was positively correlated with LW and FCI, as were a number of the sub-scores; viz. Identity, Behavior, Family Self, and Social Self. In addition, the FCI score was also posi- tively correlated with Self-Satisfaction, Physical Self, and Personal Self. Conversely, LW and FCI scores were on the whole negatively correlated with positive indices of pathology on the TSCS. The only exception was again the Defensive 68 Table 30 Correlations between Demographic Variables and Interaction Scores Annual Years Number of Social Index Task Income Married Children" Class Spontaneous l 1U ll ~05 ~08 Agreement 2 10 ~11 04 ~38* 3 ~11 ~02 ~09 ~08 Total 0A 00 ~08 ~25 Choice 1 ~01 ~13 23 ~06 Fulfillmentm 2 25 10 22 05 3 ~20 11 36* 29 Total 01 10 54** 23 Choice 1 ~07 ~05 ~21 ~01 Fulfillmentf 2 22 19 19 ~08 3 -05 03 ~HO* -05 Total 05 10 ~26 ~08 Dominance l 20 02 3A ~27 2 06 ~06 09 ~04 3 —1o 09 56** 23 Total l8 12 58** 00 Decision 1 13 22 36* ~11 Time 2 O7 “0* ~01 22 3 A9** 29 ~08 ~12 Total 36* “2* 07 ~01 Interpersonal l 06 ~01 ~25 15 Competencec 2 lb ~05 ~03 ~18 3 08 ~20 ~01 ~31 Total 22 ~11 ~12 -3u N. = 30 *p < .05 **E < 01 Correlations between Marital Adjustment 69 Table 31 and Tennessee Self Concept Scale All Subjectsa Malesb Femalesb LW FCI LW FCI LW FCI. CPotal Positive 35** 55** 31 H9** 37* 61** IEdentity 3N** U9** UU* us* 28 53** ESelf Satisfaction 36* U7** 1“ U2* 31 53** IBehavior 33** 51** 19 A0* 39* 61** Eflnysical Self OO 26* ~09 O7 O2 41* Ddoral Ethical Self 25* 19 32 18 28 ”3* I?ersonal Self 28* “8** l9 “0* 32 56** IFamily Self 51** 71** 59** 75** 47* 67** ESQCial Self 32* 44** 25 “2* 35* N6** TPrue-False 01 01 -Ol 10 O6 05 IDistribution 28* 25* 22 40* 35 18 [Defensive Positive 32* 37** 18 2M 38* 48** General Maladjustment 38** 51** 37* U3* 39* 58** I?sychosis ~13 ~32* ~08 ~20 ~17 ~UA* P ers onali ty Disorder 32* 38* 30 30 37* u7** IVeurosis 26* 57** 18 51** 30 6M** IPersonality Integration 10 19 09 05 08 3A Nunmer of Deviant Signs ~18 —uo** ~2H ~20 ~13 ~56** Seli'Criticism ~20 -O9 -2l ~06 -19 ~12 Net Conflict 03 Ol 00 ~01 O7 02 'Total Conflict ~17 ~22 00 —ou ~26 ~39* 'Potal Variance -07 -32* 01 -20 ~08 —u2* ‘ ag 6o L1=30 70 Table 32 Correlations between Marital Adjustment and Tennessee Self Concept Scores (Continued) Clinic Group Non-Clinic Group LW FCI LW FCI U?otal Positive 12 23 31 51** IEdentity 12 15 30 ”1* ESelf Satisfaction 07 26 20 3M I3ehavior 12 16 34 62** IPhysical Self ~29 O2 10 21 Pdoral Ethical Self 05 ~06 H8** UA* IDersonal Self 1U 29 12 27 Ifamily Self A6** 51** 30 62** ESOCial Self 12 O2 31 58** fPrue-False 05 03 08 27 IDistribution 02 -1u H8** H9** IDefensive Positive 38* 25 01 26 C§eneral Maladjustment 18 16 36* 52** I?sychosis 07 08 ~02 ~27 I?ersonality Disorder 10 12 “1* 41* lJeurosis 1A 37* 02 36* I?ersonality Integration ~09 05 ‘12 ~10 lJumber of Deviant Signs ~02 ~16 03 ~06 fSelf Criticism ~u8** —27 11 05 IVet Conflict 05 16 18 1a rTotal Conflict ~1U ~13 ~19 02 'Total Variance 02 ~30 06 ~01 i=30 *p < .05 **p < .01 71 Positive score. High LW and FCI scores were associated with less pathognomonic scores on the General Maladjust— rnent, Personality Disorder, and Neurosis Scales. High IPCI scores, in addition, were significantly related to Zless pathognomonic Psychosis and Number of Deviant Signs Scores. Of the response—set measures, the Distribution £3core correlated positively with LW and FCI and Total \fariance correlated negatively with FCI. It is clear that on the average, the FCI correlated rnore highly with the TSCS than did the LW. Ddarital Adjustment and Interaction Scores Hypothesis 11 predicted positive correlations between PTA and positive interaction scores (SA, CF, and IC). Iiypothesis 12 predicted negative correlation between MA zand DT scores. Neither hypothesis was supported. Product- Inoment correlations, multiplied by 100, between MA and iJiteraction scores are presented in Tables 33 and 3A. rI‘able 33 presents correlations between couples' interaction EScores and couples' MA scores (the latter were obtained by summing spouses' individual scores). There were no significant correlations between indi— Vidual interaction and MA scores (see Table 3“). 72 Table 33 Correlations between Marital Adjustment and Interaction Scores Males Females Couples ‘VEtPiable Task LW FCI LW FCI LW FCI Sg>ontaneous l 00 13 0“ ~02 02 06 .Agreement 2 06 ~18 ~11 ~06 ~04 ~13 3 37* 19 27 35 36* 30 total 27 13 17 20 25 19 Dcnninance l 03 31 15 15 12 26 2 -O8 O6 18 14 O9 11 3 -01 23 O7 O5 0“ 15 total ~01 18 2“ 1H 16 18 De<1ision 1 26 22 26 O2 31 13 'Time 2 ~21 ~13 OH -25 -O8 -21 3 -30 ~18 ~18 -U5* ~27 -35 total ~19 -09 ~01 ~37* ~09 ~26 i = 30 73 Table 3% Correlations between Individuals' Marital Adjustment and Interaction Scores Variable Task LW FCI Chuoice Fulfillmentma l 03 32 2 ~17 ~2H 3 15 17 total 01 ll Ckuoice Fulfillmentfa 1 ~12 ~09 2 ~OA ~29 3 OH 01 total —ou ~17 Irlterpersonal Competencyb 1 0“ ~16 2 ~22 ~03 3 00 18 total ~11 ~02 afl = 30 by; = 60 Terniessee Self Concept Scale and Interaction Scores Hypothesis 13 predicted positive correlations between TSOES self-esteem and positive interaction scores (SA, CF, and.IIC). This hypothesis was only minimally supported. PrCKhict—moment correlation coefficients, multiplied by 100, are presented in Tables 35, 36, 37, and 38- TPf was Cor'I‘elated positively With SA 3, but there were no signi— ficant positive correlations between TPm or f and SA tOtal: CF total, or 1C total. Personality Integrationm was 74 Ho. v m** mo. v m* om u 2 No- mHu mN- *N:. :H: mocchm> Hmpoe NH- NH 00 *ms. NH QOHHocoo Hmpoe mH mH oo **Nsn mH- HOHHNcoo poz mo mo *0: mm: so: EmHOHpHHo maom NH: mN HH- **om| mo- mcme pcmHsmm mo Hmnszz wHI Hon mm *2: mo COHomemocH zpflamcompmm NN OH: mo: Nm No- mHmoszmz NH: mm so: mm :H twosomflm thHmCOmpom 3N: Ho: HH mo: 3 mHmocosmm as :H MH mN mH: pamspmSWUNHmz Hmsmcmm AH ma mm: :m NH: o>HpHmom m>fimcmmma mo mm Ha ma: non COHuSQHmeHQ om mm won **om| sml OHpmm mmfimmumspe mo NH mo mm so: m>fip~mom Hmooe mocwpoasoo mEfiB mocmsflsoo pcosmmpw< pcmEHHHmasm Hmcompmopoch coamflooa msomcmpcoom mowoco moaoom Hapos QOHpomHmch ocm momE mam: ompomamm cmmzpmo mCOHomHohhoo mm mamas 75 Ho. v m** mo. v Q: om n m mHI mml mm wml mH OHI xHI mol Hml NM! ncl *Hzl mHI HH SNI mocmHLm> HMpCE MHI le Nm :0! mm mo NH :0! cc *wwl cm! cal we cc mH poHHLCCQ pr09 HH OH NOI 0H we we NH wHI Ho mml dml :ml 0 *Gzl mHI poHHucoo um: mOI :0 oo :0! co Hm mel mm *H: mm! Hm! Gal oml CH mH - EwHoHpHLO Mme NMI 001 OH om mo HH OH QM! do *Oal QCI **mul me me mH- wcmHm mcmH>wfi mo LOQEDZ no HOI **0:I me! we! :H MOI me am *Nw no H, HH mcl mo COHmemmch >HHHmCCmme Hm Hm :0! mHI mo! 00 HO mH CHI *(m wal cm HH mml mo - . mHmOLsmz mo oml NHI, :H mH *am 00 mo OH *mm mHI mc 00 mo HH LocLCwHQ >HHHmcow$¢m mH- mN- mN- NO ON- HH 0H HH- CH No- *cm *Hs- AH as mo- ‘ 38:03.1 wH Hm QHI mo so m HH cm non cm [H1 am mc- mm: mH ocoaomshomHmz Hmtocco mm :H mOI HH OH HO CHI mm *wml Hw mm! mm mH mml OCI ®>Hproa ¢>Hmcmwma om 00 :H mo *xo: :m mo 0H mo moi *xsul CH mH oml NH :chseHLomHQ mH mH HH 2H Hm OH mH men wen oH- **cm- da- mm **mm- mH- oHpmm mmHmm-ozcs OH PH OH! Ho mH wm HOI om mcl mm Us! um QC mml OH ®>HpHmOm kuCP m m H m m H m m H m n H m m H mocopmasoo mEHB mocmcHEoo pccficmsm< ucmEHHHLHzm Hmcomgmquch coHMHowQ msomcmpccon ooHoco mmcoom :oHpomLoozH ocm moms mHmz wouomHom coozpmn wcchmHmLLou mm @2st 76 Ho. v NT... mo. v m... om u 2 0H NH so *ozl so mocmem> mH- oH HH mH- oo HOHHmcoo Hmpos :o HH oo Hm- mo- uoHHmcoo poz mN mo mN oNI HHI EmHOHpHHo MHmm No oo NH oH- NN mcme ocmH>oQ mo Hmossz NN NN- mH- **mz sH cOHHNHmmch spHHNcomHmN No om- mo *om oHI mHmoHomz Hm mo- mo 0H HH- HmsHomHo spHHNcomHmN NH mo HN- oH- mN mHmocosmN mo so- so sN sH- pcmspmsnsmHmz Hmpmcmo :o- so- so- sN HH- COHHHmom m>Hmcmmmo moi Ho mN moi mH- :oHpsoprmHo so NH oo om- oN- OHHNm mmHmm-osms mo sH- oo Nm mH- m>HpHmom Hmpoe socmpmosoo mEHB mocmcHEom pomsmmpm< pCmEHHHmHzm HmcowpoopousH COHmHomo msoocmpcoom moHogo mmpoom COHuomHmch ocm moms mHmEmm omuoonm :mmzpmo sm mHomB mCOHpmHmppoo 77 HO. v W** mo vm* om um oH mo oNi Noi mm moi oo- HHi. Hoi *om- omi oo- mH moi :oi mocwHLm> NH- mH oNi :o :N oHi HH moi NH NH- sHi oH Ho mo soi HOHHocoo Hmpos mo ooi Hoi moi *om moi HH sHi No HNi moi ooi soi mHi Ho poHHocoo p62 sN mo :H mo HH mo OH NOi sH :Hi sNi ooi moi sHi :oi : EmHCHoHLo onm zo- moi .uN Hoi sN sHi NH HHi Hoi Nmi soi mH NH mH NH acaHm.m:mH>o@ so Lopez: NN HH oo NHi *zzi mH oHi mH Noi xxmz *om Ho oo NN Ho :oHpmsmmch spHHNCOmea mOi mH sHi :Ni mmzi mo oo oH mo **s: CH oo moi Ho mHi . mHmossmz mH so oN oo sN-. oN HH- *Ho so so Ho mo- mo oH- oH- twosomHo soHHoccosmN HH moi om Hoi oN Hoi sNi mo Ni MH- mo mHi a NH No mHmocosmm No mo mHi moi oHi :H mo :H mo *sm coi No HHi mHi ooi ocoEumsnomHmz Hmsmcmo Noi moi oHi oHi mHi mH moi oH mo *N: Hoi Noi moi oHi NHi m>HuHmca w>Hmcwooo oo NHi oo soi oH HHi mH oH No oo sNi mH OHi moi moi coHuanLomso Hoi oo Noi sHi *sm mH oH moi oo- ooi :Ni 0N- moi HNi NHi oHomm mmHmmimzss no so ooi HHi Nmi HH Ho mN oo *o: no mo HHi moi soi m>HuHm0d Hopes m N H m N H m N H N N H m N H mocmquEoo mEHs oocmcHEoc oowsmosmq pcoEHHHstm chompoogmucH conHomo mscmcmpcccm ooHoco mmooom :chowLmocH now moms chscs ooHocHoo ocmsumn mcoHpmHoLpoo mm oHoos 78 correlated positively with SA 3 and SA total, as predicted, but negatively with IC 1. Similarly, Personality Integra— tionf was correlated positively with SA 2, SA 3, and SA total. Hypothesis 1A predicted negative correlations between TSCS indices of pathology and positive interaction scores (SA, CF, and IC). Psychosism correlated negatively with SA 1, as predicted, but correlated positively with SA 2. Personality Disorderm and Neurosism (both inverse scales) were correlated positively with SA 3 as predicted. The correlation between Number of Deviant Signsm and SA 1, SA 3, and SA total were consistently negative. There were no significant correlations with IC and CF. TSCS pathology scores of females did not correlate as consistently with interaction scores as did those of the males. General Maladjustmentf and Neurosisf (both inverse scales) were correlated positively with SA 3 and SA 1 total, respectively, as predicted. However, there was a positive correlation between Defensive Positivef ENNi SA 3. Number of Deviant Signsf did not correlate Witki any of the interaction indices. Hypothesis 15 predicted DT to be positively related to TTSCS pathology scores and negatively related to TSCS selfl-esteem scores. DT l was positively correlated with Perscnqality Disorderm (inverse scale) as predicted. Also 79 in support of the hypothesis were the negative correla- Neurosis (inverse tions between Personality Integrationf, f scale) and DT 2. CHAPTER V DISCUSSION Selection of Subjects It is clear that the Clinic and Non-Clinic Groups differed significantly on a number of demographic varia- bles, most notably age, number of years married and to a lesser extent, level of education. Clinic gs were gener- ally older and had been married longer. While participa- tion was high among clinic couples, the participation rate of the non-clinic couples could not be accurately determined since it was unknown how many initial letters were sent by one of the ministers. However, the fact that six couples responded, of nine nominated by the other minister and contacted by E, suggests a lower participation rate. It is unknown how this difference in response affected the sample characteristics. In addition, clinic §s were drawn from an industrial city While non-clinic SS were obtained from a university tOWTl. Although these group differences constituted an unfOlf'tunate confounding factor, observed differences in I’eported individual and marital adjustment cannot be eXplflined as due only to demographic background. This eXplErnation was excluded by the results of the analysis 80 81 of covariance of MA scores, controlling for years married (Table 6). Moreover, demographic variables did not correlate significantly with most of the dependent meas- ures (see Tables 28, 29, and 30). In addition, the purpose of this study was not just to compare groups matched on demographic variables; rather, the selection procedure was in part designed to maximize the statis- tical power of the correlational analyses by increasing the range of scores. For this purpose the groups were frequently pooled. Marital Adjustment Both the LW and FCI differentiated between the two groups at statistically significant levels (see Table 5). Assuming that relatively low scores on the LW or FCI indicate a disturbed marriage, these results lend credibility to the statement by Framo (1967) that: "Whenever there are disturbed children there is a dis- turbed marriage...(p. 154)." It must be remembered that in the vast majority (13 of 15) of clinic couples the only selection criterion was that at least one of their children had been referred to a clinic for emotional difficulties. These Ss had not necessarily admitted that their marriage was unsatisfactory. Given the fact that mean LW and FCI scores differed Significantly in the two samples, the question still remained as to how well these instruments discriminated 82 clinic from non-clinic subjects. Of 30 clinic §53 9 scored below a raw score of 95 on the LW while 2 of 30 non-clinic SS scored that low. The FCI discriminated even better. Whereas 22 clinic SS scored below a raw score of 135, only 2 of the non-clinic gs did. The correlations obtained between the LW and FCI (see Table 7) were somewhat lower than was to be expected from previously reported investigations (see Table 2). There were no significant differences in these correla- tions between groups or sexes. Tennessee Self Concept Scale Of 15 statistically significant mean differences on the self-esteem and clinical scales of the TSCS, 1A were in the predicted direction. On the Moral Ethical Self Score, the only index which differentiated between sexes, the mean difference was not significant. There was a statistically significant mean difference between the two groups on the Defensive Positive Scale; however, the Non-Clinic Group obtained a more pathological score than did the Clinic Group. Fitts (1965) described this scale as "...a more subtle measure of defensiveness than the Self-Criticism Score" (p.5). The Defensive Positive Score is based on 29 items which differentiated a group of "...100 psychiatric patients whose Total P Scores were above the mean for the Norm Group (p. 5)." However, it must be noted that Fitts (1965) reported that a 83 "Personality Integration Group" (N = 75) scored signifi— cantly higher on the Defensive Positive Score than did a "Patient Group" (N = 363). The respective means are listed in Table 2. The Defensive Positive Score was derived in a manner similar to the MMPI K scale with which it is correlated (3 = .29; Eta = .A2; N = 102; Fitts, p. 25). The latter is sometimes interpreted (e.g. Heilbrun; 1961) as an "Ego-strength" measure, so the higher Non-Clinic Group score may be appropriate. In general, the Clinic Group most closely approximated the pattern of TSCS scores as reported by Fitts for a psychiatric patient group (see Table 2). The Non-Clinic Group's profile of scores was most similar to the Personality Integration Group, although the level of scores most closely approximated the Norm Group (see Table 2). Again it should be noted that the vast majority of clinic SS did not necessarily consider themselves to be individually maladjusted. They were designated as clinic §s because they, or someone else, had referred their child to a clinic. However, these parents, as individuals were significantly less well adjusted, as measured by the TSCS, than were parents whose children were not referred. Framo's statement (1965) that there is a disturbed marriage whenever there are disturbed children might well be expanded to "Whenever there are disturbed children there are disturbed parents engaged in a disturbed marriage". 8A The intercorrelations among TSCS scores (see Table 11) were essentially similar to those reported by Fitts (1965). Interaction Scores Spontaneous Agreement Of the interaction scores, SA differentiated the two groups most successfully. As predicted (hypothesis A) the Non-Clinic Group's mean SA was higher than that of the Clinic Group on Task 3, also on the total SA score. The Non-Clinic Group also achieved a (not signi- ficantly) higher SA score on Task 1, but this trend was reversed on Task 2 where the Clinic Group showed higher initial agreement between spouses. In an analysis of variance of the SA scores (see Table 13) the Task and the Task X Group effects were statistically significant. However, interpretation of these results must be guarded because of two confounding factors. First, the present design did not control for a possible order effect. All SS completed the tasks in an identical sequence. Secondly, a review of the distribution of rankings assigned to each item, as presented in Table 39, suggested that the three tasks were not comparable. Tasks 2 and 3 each contained one item which the vast majority of gs ranked identically, thus spuriously increasing the SA score. Similarly, Task 2 contained 20 non—used item-rank combinations, compared to 10 and 85 Table 39 Item Rank Frequency Item Rank 96“.- 73786 1 lhfilOSBS/U 111 19824691 11 l23hfi5678 Task 2 36859720 1 1 20395100 22 00000055 5 OOO2-IH275 l3 l23i45678 Task 3 09723270 111 3602u230 llll noun/.1854.“- l 2 00001162 5 18789272 1 l i- 1A A i- 22 2500 8 11 1A 20 12385678 86 3 for Tasks 3 and 1 respectively. Any conclusions regarding initial agreement between spouses, as well as CF, and DT, across tasks must, therefore, be very tentative. The significant Task X Group effect leads to the conclusion that it is important to consider in which content area SA is measured. It seems ironic that with the pedagogue's emphasis on inter-parental consist- ency, children with emotional difficulties should have parents who agreed more on desirable parent-child interactions than did parents of children not referred to a clinic. However, it is also possible that those parents who had been sufficiently motivated to avail themselves of clinical consultation had become more sensitized to their parental role. Contact with a clinic, or the decision to cooperate with a clinic, may well have led to increased discussion of disciplinary methods between parents, if only in an effort to portray a "united front" or to do the "correct" thing, and thus a higher SA score. Task 3, which discriminated most successfully between groups, may also be characterized as the one which engaged §s most directly and personally. thice Fulfillment The two groups did not differ significantly in terms of mean CF scores for any of the tasks (see Table 14). An analysis of variance of CF scores (see Table 87 15) showed a significant main Task effect. This may most parsimoniously be explained by the fact that CF and SA were positively related (see Table 23-and 2A). It seems logical that as SA increases, CF increases. The significant Task effect was, therefore, most likely due to the differences in SA scores between Tasks, which in turn were at least in part due to the non-comparability of the relative attractiveness of the items on the tasks. The CF measure appeared to be less powerful than, and essentially redundant with, the SA index with which it was significantly correlated. Intuitively it appears logical to correct the CF score by subtracting SA. A difficulty with this procedure is that then couples with high SA scores would be much more likely to obtain low CF scores. High CF scores would similarly be obtained by cOuples with low SA scores. In addition to the relationship between SA and CF, a S's CF score is also dependent on CF of spouse. The DOM measure is a more meaningful index which takes into account CF of both patterns as well as the initial agreement. CF was retained in the analysis because it is an individual score, while SA is a-couple score. Qggision Time Ferreira & Winter (1965) reported that normal families required significantly less time than did clinic families to complete a task similar to those 88 used in the present investigation. This difference was replicated in the same sample of families using a TAT task (Ferreira et a1., 1966). Similar conclusions were reached by Haley (1962) and Cheek (196A). This difference in time needed for task completion was not verified. There were no mean DT differences between groups (see Tables 16 and 17). It should be noted that the very high variance almost precluded any significant mean differences. A possible explanation of this discrepancy in reported findings might be due to differences in instructions. No attempt was made to convey to Ss that speed was desirable, neither did S make a conscious effort to convey the opposite. It is unlikely that Ss felt that time was of importance. Only one reference to time was made in the instructions (see Appendix A, p. 128), Ss were told that they need not time themselves on the TSCS. An added consideration is that non-clinic Ss were paid $15, while clinic Ss were paid only $5. Cognitive dissonance theory would predict that those Ss who felt that the remuneration was excessive would spend relatively more time on the requested task (see Adams & Rosenbaum, 1962). If Ss from the an-Clinic GrmnDindeed felt that they were being paid. too much, it would tend to reduce any differences between the two groups, given that there is a real difference. Non-clinic Ss were not aware that other 89 Ss had been paid $5, rather than $15. Although a number of both clinic and non—clinic Ss commented that payment was not necessary, in most cases it appeared to be a polite, expected comment. No Ss refused payment. Dominance The DOM measure was formulated post hoc to assess the relative degree of influence each spouse asserted on the joint decision, taking into account the degree of initial agreement. Since DOM was defined as a ratio of rank-order correlation-coefficients it was considered a nominal measure. Chi-square analyses of frequencies of DOM scores (see p. 55) suggested no relationships between relative influence and sex status or group membership. There was, however, a clear tendency for husbands to be more influential on Task 1 regardless of group membership. This tendency was not evident for the other tasks. The results suggest that the allocation of decision power or dominance was related to content of the task. This conclusion is similar to that of March (1957) that spouses tend to escape conflict by allocating power to each other in different areas. Interpersonal Competency The IC scores of individuals or couples did not differentiate between groups for any of the tasks (see Tables 20 and 21). The prediction that non-clinic 90 couples would show a greater degree of interpersonal competency during the task discussion was not confirmed. However, an analysis of frequencies of ratings in each category (see Table 22) resulted in a significant' difference between groups in terms of percentage of ratings assigned in feeling categories rather than idea categories. The latter finding supported the conclusion of Goodrich & Boomer (1963) and Shuham (1968) that clinic families, as compared to normal families express more, primarily negative, affect. The Non-Clinic Group remained task oriented to a greater degree than did the Clinic Group, which resorted more frequently to the expression of affect. The non-differentiation between groups by the IC summary score may have been due to the procedures utilized. The rating procedure was such that all initial disagreements between the two raters were resolved. Although there were a number of simple, obvious mistakes where there was no question as to what the rating should be, there were even more instances where the disagree— ment was based on differences in interpretatiOn of what was being said or what the effect of what was said would be on the other spouse. In many of these instances, agreement was obtained by deciding on the more conserv- ative (i.e. less heavily weighted) rating. Most disagree— ments occurred in "feeling" and other heavily weighted categories. Since these were often resolved by 91 compromise on a less heavily weighted score, the dis- criminating power of the IC summary score may have been minimized inadvertently. The non-differentiation of the IC summary score may also be partly due to the purpose for which it was originally developed. Argyris (1965) developed and validated the rating procedure on the communication in T groups; i.e. SS 222 groups. Ryder (1968) showed that the verbal communication between "married strangers" was considerably more polite, with more effort at clarification than that between spouses. The tendency of families to use more "short-hand communication" than 29 299 groups most likely also resulted in a less valid rating. lntercorrelations of Interaction Scores Some of the intercorrelations of interaction total scores (see Table 23) were spuriously high. The signifi— cant correlations of ICC with 10m and ICf resulted because ICC was a combination of 10m and ICf. Similarly, the significant correlations between DOM and CFm and CFf were due to the definition of DOM (see page 55). The significant negative correlations between DT and SA were to be expected since a higher degree of SA resulted in fewer disagreements to be resolved. Also, SA was expected to be positively correlated with CFm and CFf since the higher the SA, the less the necessity of extensive changes from individual to joint rankings. \O [\J The remaining significant correlations of Table 23 were associated with indices of female functioning. le was positively related to CFf and SA. CFf was negatively related to DT. An inspection of Table 2A, which presented intercorrelations for each task, revealed that the positive correlations of ICf with CFf and SA were most pronounced in Task 3. The negative correlation of CFf with Dt was more consistent across the three tasks. Table 2A also contained many spuriously high correlations. These included CFm and CF with SA and f DOM, and SA with DT. The intercorrelations across tasks for the same interaction index, suggested that the 10m measure was the most stable, followed by DT. The other measures showed little consistency in ranking Ss across tasks. After setting aside those correlations between logically related measures (SA with CFm, CFf and DT; DOM with CFm and CFf), and those between the same measures across tasks, 1AA intercorrelations remain. Of these, nine were significantly different from zero with 23:.05. With the .05 significance level, approxi- mately 7 of 1AA correlations are expeCted to be signifi- cant due to random variation. Of the nine significant correlations, three were between measures but across tasks; e.g. ICm 2 was positively related to CFm 1. These relationshipsare difficult to explain and are probably mOSt safely attributed to chance. Although the same reasoning might be applied to the remaining significant 3" -"l m Y'RJI'? - 1i. 93 relationships, it must be noted that the 10m measures tended to be negatively related to CFm and DOM, while the 1C index, on the other hand, tended to be positively f related to CFf. Hypothesis 16 predicted a positive correlations between 10 and CF scores. This hypothesis was based on the assumption that high interpersonal competency includes the ability to obtain personal rewards in an interpersonal situation. Given the present measures of the constructs interpersonal competency and personal satisfaction, this hypothesis is not tenable. Although the predicted relationship was obtained between le and CFf, ICm and CFm tended to be negatively correlated. The it was obtained for Task 3 only. Moreover, added consideration that ICm tended to be negatively related to DOM, in which a high score indicates husband dominance suggests that interpersonal competency does not necessarily result in personal reward at the expense of the other person. The negative correlation between CF and DT may well be an artifact since CF is logically related to SA which in turn is negatively related to DT. The significant correlation between CFm 2 and CFf 2 was most likely due to the high average SA obtained on Task 2. Interspouse Correlations The hypothesis that spouses tend to occupy similar positions on a global measure of individual adjust— ment or maturity was largely confirmed (see Table 25). 9A Although the correlations between spouses' NDS scores were not significant, the Chi-square analysis of the NDS score (see Table 27) provided support for the hypothesis. The results suggest that the homogeneity hypothesis is tenable when overall emotional functioning of the spouses is assessed, rather than personality traits or psychic needs. The interspouse correlations obtained for LW and FCI were generally comparable to those reported elsewhere (see Table 2), although the interspouse LW correlation was considerably greater than that obtained by Hofman (1966). This is somewhat puzzling since the administra- tion was essentially identical; i.e. there was little opportunity for spouses to collaborate. The observed interspouse FCI correlation was almost identical to that obtained by Palonen (1966). Relationships-Among Variables Demographic Variables and Marital Adjustment A consistent relationship found between demographic variables and marital adjustment was that age and number of years married (which are of course very highly corre— lated) were negatively correlated with FCI. These negative correlations were significantly different from zero at the .01 level for all Ss. The relationship tended to be more pronounced for females than males. However, when the samples were considered separately the relation- ship was essentially random for the Non-Clinic Group 95 and only minimally present in the Clinc Group. This negative correlation between length of marriage and FCI scores was also reported by Updyke. (1968). This evidence could lead to the conclusion that the longer people are married, the less well-adjusted they become in marriage. However, a safer, and more accurate, generalization is that the longer people are married the less they perceive their marriage in a manner congruent with professionals' description of an ideal marriage. The negative correlation between length of marriage and MA scores was not replicated with the LW, which instead tended to correlate positively, albeit non-significantly, for all S5 with length of marriage. This might be interpreted to mean that as a marriage endures, the expectations and perceptions of, and attitudes toward, the marriage change although this does not necessarily signal decreased marital satisfac— tion or happiness. Dempgraphic Variables and Interaction Scores An inspection of the correlations between demo~ graphic variables and interaction scores (see Table 30) revealed that number of children accounted for more variance of interaction scores than did the other demographic variables. Number of children correlated positively with husband dominance on Task 3, and to a lesser extent on the other tasks, as evidenced by the positive correlations between number obeildPen and CFm 3: 96 CFm total, DOM 3 and DOM total and the negative correla- tion between number of children and CFf 3. Number of children was also related to a longer discussion on Task 1. Decision time was related to annual income on Task 3, years married on Task 2 and number of children on Task 1. SA was related negatively to social class on Task 2. It is difficult to propose logical explanations for these relationships. However, it is quite clear that on the average the number of children in a family is associated with the dominance pattern between the spouses. The husband tends to be more dominant in families with more children. This relationship was unexpected. A possible explanation is that in families with more children, as in a group with relatively more members, the task leader's (husband's) role behavior diverges increasingly from the behavior of the other members (see Bales, 1950). Marital Adjustment and Tennessee Self Concept Scale Most of the correlations between MA and TSCS scores were as predicted (see Tables 31 and 32); i.e. MA scores were on the whole positively related to measures of individual adjustment and negatively related to individual maladjustment. A note of caution in interpretation of these results is suggested by the positive correlation between the Distribution Score and the MA scores. The Distribution Score measured the tendency of SS to use extreme answers (which are more heavily weighted). Therefore, the positive correlations between TSCS and MA scores were at least in part due to response style, since the instruments are similar in format. However, it was concluded that marital adjustment, as measured by the LW and FCI, is at least in part determined by individual adjustment, or vice versa. An individual who reported himself to be individually well adjusted also tended to perceive his marriage more congruently with professionals' definition of an ideal marriage than did the less well adjusted individual. He also tended to express more satisfaction with his marriage and less open conflict with his spouse. These results support the contention that individ- ual adjustment determines, at least in part, marital adjustment. To more precisely assess the association between individual adjustment and reported marital satisfaction, a multiple regression method was used. Both the LW and FCI individual scores were used separately as dependent variables, with Sex, Total Positive, Distribution, Defensive Positive, General Maladjustment, Psychosis, Personality Disorder, Neurosis, Personality Integration, Number of Deviant Signs, and Self Criticism as independent variables. These variables together accounted for 28% of the variance of the LW score and for 39% of the FCI score. This compared rather unfavorably with the amount of variance of LW and FCI accounted for by the Family Self Score, which was the 98 single TSCS score which correlated most highly with LW and FCI (see Table 31). The Family Self score accounted for approximately 25% of the LW variance and approximately A9% of the FCI variance. The correlations between the TSCS Family Self Score and the FCI were of approximately the same order as the reported reliabilities of the FCI (see van der Veen & Ostrander, 1961; Palonen, 1966). Although the LW did not correlate as highly with the TSCS as did the FCI, the over all pattern of correlations was approximately the same. These results raise serious doubts about the usefulness of the MA questionnaires. The FCI, while it discriminated more clearly between adaptive and non- adaptive marriages than did the LW, also appeared to be primarily redundant with the Family Self Score of the TSCS. . In this context it is of note that Vacchiano & Strauss (1968) identified 22 factors in TSCS responses of 260 college—age S5. The most prominent of these, accounting for 30% of the common variance, reflected a negative family concept. The second factor, accounting for 6% of the variance, consisted of a positive attitude towards the family of orientation. The correlations showed that for females, the Physical Self and Moral Ethical Self Scores were related significantly to MA scores, which was not true for males. It also appears that the relationship between individual 99 adjustment and marital adjustment was of a higher order for females than males and was also more pronounced for the Non—Clinic than the Clinic Group. Similarly, the FCI scores were more significantly related to TSCS scores than were LW scores. This may have been due primarily to response-style since the FCI and TSCS are more similar in format than are the LW and TSCS. Marital Adjustment and Interaction Scores The correlations obtained between MA and inter- action scores (see Tables 33 and 3A) did not support the hypothesis that marital satisfaction, as measured by the LW and FCI, is positively related to interaction indices. Hypothesis 11 predicted positive correlations between MA and SA, CF, and IC and a negative correla- tion between MA and DT. These relationships were minimally present in Task 3 where LWm and LWC were positively related to SA, and FCI was negatively related f to DT. There were no significant relationships between MA and CF and 10. There were also no significant relationships between MA and DOM. Tennessee Self Concept Scale and Interaction Scores It is clear from an inspection of Tables 35, 36, 37 and 38 that the SA index accounted for more of the variance in TSCS scores than did the other interaction indices. This was true both of males and females. The relationships between SA and TSCS scores was most 100 pronounced in Task 3. Considering just Task 3, SA and TSCS scores of females were on the whole associated as predicted. SA was positively related to Total Positivef, Defensive Positivef, General Maladjustmentf, Neurosisf and Personality Integrationf. Correlations between SA and Psychosis Personality Desorderf and Number of f- Deviant Signsf, although not significant, were all in the predicted direction. The correlations between SA and TSCS scores varied considerably among the three tasks. The present data leaves it unclear whether this was primarily artifactual because of the non-comparability (i.e. in terms of response alternatives) of the tasks (see p. 89) or whether it was due to the differences in content of the tasks. However, the significant Group X Task effect in the variance of SA scores (see Table 13) suggests that it may well have been due to the content area. The variability of correlations of TSCS scores across tasks was also evident for the other interaction indices. Of the TSCS scales, only Personality Integration was correlated significantly with SA total for both males and females. In addition, Number of Deviant Signsm and Neurosisf correlated with SA total. Somewhat surpris- ing were the significant correlations between SA total and True-False Ratiom, Net Conflictm, Total Conflictm and Total Variancem. This suggested that males who tended to over—affirm their positive attributes relative to denial of negative attributes, and who reported a 101 l greater degree of confusion, contradiction, conflict and lack of integration, tended to be less in spontaneous agreement with their spouse. In addition to these relationships, another response-style measure, Distributionm, was negatively correlated with SA 2 and positively correlated with DT 2. These relationships were not apparent in the other tasks. Males who tended to be more definite and certain of their self-perception; i.e. they tended to use more extreme ratings, were less in spontaneous agreement with their spouses on Task 2 than were males who were less definite and tended to play it safe. This lesser degree of spontaneous agreement in turn necessitated a greater amount of time for the solution of Task 2. The correlations between response-style measures of females and interaction scores were generally in the same direction as those for males, but the relationships were not as pronounced for the SA score as they were for the DT scores. True-False Ratiof and Net Conflictf were both positively correlated with DT 2; i.e. the more acquiescent the wife the more time required for solution of Task 2. DT 2 was also negatively correlated with Neurosisf and Personality Integrationf; i.e. extended discussion on Task 2 was associated with couples in which the wife tended to be dissimilar to a norm group of neurotics and similar to a personality integration norm group. 102 Husband dominance was correlated positively with Self Criticismm on Task 1 and with Personality Disorderf on Task 2. The positive relationship between males' willingness to be self—critical and husband dominance was supported by negative correlation between Defensive Positivem and DOM 1. Interpersonal Competencym l correlated negatively with Personality lntegrationm. It seems somewhat ironic that of 10A correlations between 10 and TSCS the only one which correlated significantly did so in the opposite direction than was to be expected. CHAPTER VI CONCLUSIONS The assessment of marriage remains a difficult task. In the present investigation, questionnaire methods; i.e. the FCI and LW, were found to be more efficient and accurate in differentiating clinic and non-clinic marriages than were the interaction measures of decision and communication variables. The results suggested that the FCI discriminated more accurately and with less overlap than did the LW between well-and mal-adjusted marriages. When comparing correlations between individual and marital adjustment scores versus interaction and marital adjustment scores, it was clear that marital adjustment, as measured by the LW and FCI, was significantly more strongly related to individual adjustment, as measured by the TSCS, than to the interaction indices. It is tempting to conclude from this that therefore the "best" indirect method of predicting marital adjustment is to assess the individual adjustment of spouses. However, a serious confounding factor in such a conclusion was the methodological similarity between assessment of marital and individual adjustment. 103 10A The results supported the homogamy theory; i.e. on the average, spouses who were individually well- adjusted tended to be married to a person who was also well-adjusted. Similarly, spouses who were individually well-adjusted reported a significantly higher degree of satisfaction with their marriage than did less well- adjusted individuals. Well-adjusted individuals also tended to perceive their marital relationship as closer to a description of the ideal family by professional family counselors than did those less well—adjusted. While self-esteem and clinical scores of the TSCS were significantly related to marital adjustment scores, the response—style measures of the TSCS tended to be significantly related to decision process variables. FCI scores correlated negatively and signifi- cantly with the length of marriage. Interaction indices were most significantly related to number of children in the marriage. The frequently stated hypothesis that individual mal—adjustment tends to be transmitted from parents to at least one of their children was supported. The obtained results yielded few clues as to the nature of the process through which this occurs; however, the hypothesis that emotional difficulties of children are related to the emotional atmosphere of the family of orientation received some indirect empirical support. 105 A system of categories developed to assess individual and group interpersonal competency from a rating of verbal interaction was found to be not very useful in discriminating clinic from non-clinic marriages. However, clinic couples were proportion- ally more frequently assigned feeling rather than idea scores, relative to non-clinic couples. Of the interaction indices used, spontaneous agreement between spouses in selecting action alter- natives, and frequency and quality of feeling-expression in verbal communication, appeared to be most relevant to the differentiation of clinic and non-clinic marriages. The results suggested that when assessing and reporting interaction between spouses it is highly desirable to consider and describe the task content. Interaction indices of discussion and selection of birth control methods, when prevention of pregnancy was mandatory in a hypothetical situation, were more divergent for clinic and non—clinic groups of marriages than were indices of discussions regarding financial management and parent-child interaction. Suggestions for Further Research Although the present investigation showed that self-report MA measures differentiated more successfully than interaction variables between what were considered to be well—and mal-adjusted marriages by the criterion of child adjustment it could not be determined to what extent reported marital adjustment or satisfaction was 106 confounded with individual adjustment. In order for a construct of marital adjustment to be useful, it appears to be highly desirable to distinguish and separate it from individual adjustment, even though both variables may be interrelated. One way in which this might be accomplished is to compare groups of marriages, matched on individual adjustment of spouses, but distinguished by emotional adjustment of children. An item or factor analysis of responses to a pool of items, drawn from existing MA scales and related sources may also identify or suggest variables basic to marital adjustment. Even more preferable would be a longitudinal investigation such as that carried on by the Family Development Section of the Child Research Branch, National Institute of Mental Health (see above, p. 20) which circumvents assumptions regarding causality necessary for SS hoc investigations. A difficulty which remains in cross-sectional studies is the identification of well-and mal—adjusted marriages, independent of the instruments of interest. The usefulness of adjustment of children as criterion of the quality of the marriage is limited, in part because it is dichotomous. However, it is deemed preferable to imminent marital dissolvement as a criterion since that decision will almost certainly significantly alter the relationships and attitudes of the spouses. In addition, the population of 107 interest is not primarily those spouses who have decided to obtain a divorce. It seems more useful for therapeutic purposes to be able to identify marriages with destructive elements before these dissolve the relationship. Investigations of self-report measures should not preclude the analysis of interaction between spouses. It is admittedly easier to obtain test scores than to evaluate interaction. However, since most marital therapy is focused on behavior between spouses, it seems more important to investigate spousal interaction, identify destructive elements, and establish baselines, rather than compare test scores. It is suggested that further investigation of the interaction between spouses direct itself primarily to the analysis of expression of feelings. The statement of Goodrich & Boomer (1963) that couples can be differ— entiated by their ability to maintain esteem for self and other, even in the face of overt disagreement, also appears to be an important dimension for research. Along similar lines, another useful framework might be that of Berne's dichotomies of "I'm OK ~~ I'm not OK" and "You are OK ~~ You are not OK" (Berne, 1966). The present research indicated that marital behavior is determined in part by content of the task. However, when a variety of tasks are used it is advisable to ascertain the comparability of tasks in different 108 areas in terms of item attractiveness, distribution of responses, etc. It is suggested that interaction between spouses concerning subject areas most directly and personally affecting them may be most fruitfully investigated. Relationships between MA indices and demographic variables indicate that whatever marital adjustment consists of, it is not impervious to situational factors such as number of children, length of marriage, etc. Further exploration of these relationships seems desirable. A most important consideration for further research appears to be a re—evaluation of the marital adjustment construct. It remains an overly simplified, global construct. The correlations found between the TSCS and MA questionnaires approach the reliabilities of the latter, suggesting that the MA questionnaires are primarily redundant with a more adequately standardized and validated instrument. The same consideration also raises doubts about the validity of the marital adjustment construct. It is felt quite strongly that what is needed instead is further investigation of relation— ship and system variables and the relations of these to individual (whether spouses or children) and marriage variables. REFERENCES 109 REFERENCES Adams, J. 8., & Rosenbaum, W. B. The relationship of worker productivity to cognitive dissonance. Journal of Applied Psychology, 1962, NS, 161 — 16A. Argyris, C. Organization and innovation. Homewood, Ill.: Richard Irwin, Inc., 1965. (a) Argyris, C. Explorations in interpersonal competency: I. Journal of Applied Behavioral Science, 1965, l, Argyris, C. Explorations in interpersonal competency: 11. 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Family Process, 1966, S, 60 - 75. Fisher, 8., Boyd, 1., Walker, D., & Sheer, D. Parents of schizophrenics, neurotics and normals. Archives of General ngchiatry, 1959, l, 1A9 ~ 166.~ Fisher, S. F., & Fisher, R. L. The complexity of spouse similarity and differences. In G. H. Zuk & I. Boszormanye-Nagy (Eds.), Family therapy and disturbed families. Palo Alto: Science & Behavior Books, 1967. Fitts, W. H. Tennessee self—concgpt scale: A manual. Nashville, Tenn.: Counselor Recordings and Tests, 1965. Fontana, A. Familial etiology of schizophrenia: Is scientific methodology possible. Psychological Bulletin, 1966, SS, 21A - 227. Framo, J. L. Rationale and techniques of intensive family therapy. In I. Boszormanye-Nagy, & J. L. Framo (Eds.), Intensive family therapy. New York: Harper & Row, 1965. Fromm-Reichman, F. Notes on the development of treatment of schizophrenics by psychoanalytic psychotherapy. Psychiatry, 19A8, 11, 263 ~ 273. Goodrich, D. W., & Boomer, D. S. Experimental assessment of modes of conflict resolution. Family_Process, 1953, a. 15 - 2A. Haley, J. Whither family therapy? Family Process, 1962, g, 69 - 100. Haley, J. Family exoeriments: A new type of experimenta- tion. Family process, 1962, l, 265 ~ 293. Haley, J. Research on family patterns: An instrument measurement. Family Process, 196A, 3, Al ~ 63. Haley, J. Speech sequences of normal and abnormal families with two children present. Family Process, 1967, S, 81 ~ 97. 113 Hawkins, J. L. The Locke marital adjustment test and social desirability. Journal of Marriage and the Family. 1966. 2.61. 193 - 195. Heilbrun, A. B.. Jr. The psychological significance of the MMPIIHpHmom i m>Hmcoomo mocmHHm> Hmocs poHHocoo Hmocs :oHumcwoocH NNHHmcowLm; mcme pcmH>mo so Hoots: wH sH wH NH :H mH NH HH CH onN HNoHeoN-Hmeoz - coHooNomHoeN-oHam - omLmoE::iooo HH< ”NHH: mH: so NHNHNHCNEEH soroHHos onN HaHoom - oHem sHHeem - sHmm Hmc0mpmm i oHoN HNOHNHNN - LoH>mcom i (\JMJLDKONCDO soHocooH - meHonoN Hoods - H oHoNHcm> .memEmu mam m omLoQE::ico>o .oneHo ooonHH NH cameos: - . NN HN NN so NN NN NN NH N oN ss NN Ns sN sHH soH NNH ssN om NN ss NN HN Hs sN Hm N sm ea NN NN ea sN NHH oo NoH som oN Hm as Ns HoH NN NN sm NH NH Ns Ns Ns Ns Ns HNH sHH eNH sNN NN om HN Ns so sN so NN HH. H st NN Hs on NN NHH NHH NNH sNN sN Ns ss Ns so NN sm NN o s oN os os ms sN oHH soH NNH omm NN ms NN Ns so NN oN as N sN oo es NN Hs eN NoH NoH NNH NNN NN Ns ss Ns No NN HN oN sH N Ns Hs sN es sN sHH NoH sNH ssm sN sN. NN ss oo sN Nm NN NH m HH es sN Ns ss oHH NoH sNH st NN Ns ss oN oo NN om NN NH s or sN NN Ns ss sHH soH oHH osN NN ss oN Ns Ho HN HN NN HH s so NN NN NN as NHH so sHH sNN HN Hs NN sm Ho sm ss sm oH N No eN aN sN sN oHH No sHH NHN oN NN NN NN Ns .sm HN NN s sN oN eN mN HN NN ooH oN so NNN oH Hs NN Ns sN NN sN as N sm on NN NN N NN ooH sN oN mHm NH Ns ss ms Ne NN ss NN NH s No Hs mu Ns os sHH ooH NHH Hsm sH om sN Ns NoH NN NN sm HH N s ss Hs Ha Ns HNH NHH oNH Nsm NH sN ss ss Ho sN sm HN NH N aN Ns sN NN Hs NHH HHH NHH msm NH NN Ns oN NN ss NN sN o NH NN HN NN ss oN No me HNH oom sH oN NN Ns NN Ns Hs NN NH N so No HN NN os NoH mo NHH sHN NH NN as Ns dN mm NN oN N Nm Hs oN NN HN NN NN N oNH NsN NH Ns NN Ns so Ns NN oN sH N os sN HN NN NN NHH NoH NHH NNN HH NN NN NN oN Nm NN om m sm sN sN Ns NN oN NoH Ns No ssN oH ss HN Ns ooH NN sN Ns o NH NN so NN as oN oHH HoH NNH Nsm o oN Ns sN Ns NN NN NN N Nm HN NN sN ss mm NN NN soH oNN N ms HN Ns No ms ss NN NH N Ns os NN sN NN NoH NoH NHH NNN s ss Ns ss oo HN oN sN sH a sN Hs HN NN sN NoH NoH sHH NNN N Ns HN NN Ho ms NN NN NH sH NN sN oN NN oN NoH No soH oHN N Ns as ms so as os Hm NH m sN NN sN HN as NHH NHH sNH st s ms Ns Hs No ss ss mm s N N. oN HN Ns Hs NHH ooH NNH omm N NN ss ss oo Hs Nm om NH NH NN NN sN Ns NN soH NoH HHH NHN N Hs ss NN No sN NN NN sH NN sN sN NN Hs NN NoH ooH NHH on H NH sH NH NH sH NH NH HH oH o N s N N s N N H : moHomHLm> oHoEmm oHcHHo mmHmom pooocooioHom mmmwoccms .H mmmcow HHQZH 131 mHmoczoz HmoLomHQ NHHchowcwm meozona pcprmSHUNHmz Hmtocoo m>HuHmom i m>choomo mocmem> Hmooe uoHHocoo Hmuos coHuwawmocH NNHHmccoLoo mcme ucmH>wo so Lasso: mH sH NH mH :H mH NH HH OH “How HmHoom onm sHHEwnH sHmm HNCOmHmm oHoN HmoHeom-Hmeoz - onN HeeHmseN - LoH>m£mm i eoHooNoaHoNN-NHNN - HHw .onmE one m ompmoESCiooo HH< mmmHz wH: so sHopmHooEEH omonHoo seHoeooH m>Honoo Hmoos mmzmxosoom H mHomHee> .monEos mom m omtmoESCIco>m NH oceemez - * .omeHo ooomHH NN Ns sm No as Nm sm NH s sN as as o: NN sHH NoH omH NNN oN mN Ns ss mm as Nm HN .sH N so Ns NN NN NN NHH NoH NHH smm oN Ns HN _Ns soH NN NN mm o s ss Ns NN HN so sNH oHH NNH st NN NN Ns Ns NN sN mm NN sH N ms ss ms Ns Ns HHH NNH HNH st sN ooH NN sN sHH oN sN oN NH N NN NN HN NN es NsH sNH HsH .oHs NN NN . sN ss ooH HN oN .mN oH N as ss NN as os oHH NHH oNH HNN NN so No Hs NoH HN mm NN HH N NN Na as sN as HNH NNH NsH Nos sN No NN Nm NHH Ns Nm NN N oH Ns sN Ns ms oN oNH NNH NNH NNN NN ms NN om oo NN NN oN HH N No do NN sN NN NoH No NNH Hmm NN ss Ns ss no Hs Ns sN NH s NN s eN Hs NN NoH soH NHH Hmm HN Ns Hs Nm NN ss os NN sH N eN as NN N NN NHH soH NNH ssm oN Ns NN os so os Ns Nm oH H a; so co NN so soH No NNH st. as so ss ss No NN NN NN NH H as ms o. os ms eHH NHH NNH Nsm Ns No Hs Nm Na NN sm NN oH N as as Ns ms ss NNH NNH HNH Nsm ss Na NN ss NoH NN om N sH s as NN ss NN Ns ooH sNH sNH NNN Ns HN Ns Ns No HN os NN NH o sN ms so NN os HHH NoH NNH Nsm Ns HN HN Ns so Ns as NN NH H No es do oN Hs NHH oHH oNH NNN ss NN NN Ns so NN NN sH HN s Ns ss Ns ss ss oHH HNH NNH Nsm ms HN Ns ms NN sN om sN oH N do s_ so Ns sN HHH NoH NNH Nsm Ns No ms ms NoH sN NN sN NH H as s as ss Ns oNH NHH NNH NNN Hs HN ss sN sN sN Hm NN sH sH NN os NN Hs NN NoH NoH sHH NNN os NN HN oN HoH sN mm NN NH o Hs Ha NN N NN eHH sHH oNH NNN am os Ns N No Hs NN sN s NH sN as so os NN HHH so oHH st Nm Ns sN Hs No Ns Ns NN HH N so NN Ne HN so soH No NNH NNN sm sN NN as so NN Ns sN NH s No ss Hs sN NN oNH NHH NNH NNm Nm oN os Ns No Ns NN NN sH H sN N. HN ms os NHH No NNH Nsm Nm NN NN Ns No NN om ms HH s sN ms NN NN NN HHH HoH NNH NNN sm sN ss Ns so mN om om NH H NN Ns oN NN N HHH NHH oHH Nsm mm ss Ns su Ho Ns NN NH NH NH NN NN NN NN NN NoH soH NHH NNN NN sN Ns sN NoH Ns ms Nm NH N as ss aN NN ss NNH soH HNH NNN Hm NH sH NH NH sH NH NH HH oH o N s N N s m N H z mmH pm Hch> oHoemm oHcHHoicoz ”onom HomecooioHom mcwmmccms .N 1132 wHQEmm OHCHHQ N xmms pcmEHHHNHsm cmmz I NN N xmms acmEHHHNHsm cwmz I NN m xmmE NocmquEoo HNCONLmQmecH I H xmmE acmEHHHNHzm ummz I Hm m xwme NocwquEoo HNCONLmamecH I pamocco NHHENN I cm H xwme Nocmumano HmcomLmQmecH I mHmom momHHm3Imxooq I OH mHanLm> NH I ss sN os oOH Hs NNH oNH oN HN NN Ns No ooH NH NsH sHH oN ss NN NN ss NN NN NNH sNH NN Ns I so I No NN Ns NN NNH NNH 0N HoH HoI os ooH NN Ns NsH NNH NN NN NN NN ooH No ooH ssH sHH NN NN sH NH NN ooH Ns ssH No sN NoH NN sN No ooH NN HNH sNH sN HN NN NN ms NN NN ssH NsH NN NN I oH NN I sH I HN NN NNH NHH NN sN I NNI NNI HN NN NN NsH NsH NN sN NN I NN ooH NN No NNH oNH NN so NoI sN HN NN NN NNH NNH sN NH I so oNH NN Ho No NHH sNH sN NN NN HN sN NN NN osH oHH NN NH os I HN NN NN ms soH NHH NN NN os oN NN ooH Ns NNH NNH NN NN sN sN Hs Ho Hp HNH NN NN NN NN NN .ss sN NN NNH Ha HN NN so NN oN No NN NN as HN NN NN sHI NN NN NN NNH HNH CN oN NN so NH No on NNH NoH oN Ns No NN HN HN ooH NNH sNH cs N I NN I NN Na No No sNH NN NH so NN sN HN NN ooH NsH NN as NH Ho ss NI NN NN sHH sN NH NN Ns oN oN HN HN NNH NHH ss NN sN I NN No HN ooH sHH NHH sH so Ns Ns HN I NN HN NNH HsH Ns HN NoH sH NN Hg No oNH NoH NH NN ssI NNI NN I ooH NN NsH sNH Ns Hs NH :c I ss Ns No NsH NN NH NN NN oN NN ss Ns NsH NNH ss HN Ns om NN HN No sHH so sH NN ss sN NN IN NN sNH sNH ms 0N MN NN Nd Nu Hm CNH OCH NH soHI NH NH HN NN I H. NNH 0N as N ss NN N NN NN NoH N NH NN Ns sN NN Ns I N ssH NNH Hs No HN NN NN ON No CNH NHH HH Hs oN Hs NN NN N NsH sNH as NH I sN I No NN Ho HN NHH HNH oH ss NN NH NN mm mm NNH sNH cm NH I No Hs NN Hs NN oHH sHH c oN NN Ns ooH ooH NN NsH oHH 0N NN sN I ssH NN NN Na sHH NHH N No I NH NN NN No Hs NHH NHH sN OH I so I No I sH ocH No NNH sHH s NN NN NN NN NN oN HNH NNH NN Ns sN sN NN No sq HNH HNH N NN NNI NHI Ns NN NN NsH sNH NN NN NN HN I No ooH No NsH scH N sH NHI sN ooH NN Ns NsH Nu sN ss No N NN NN Ho soH 0N s HN sH sN NN NN Ho NHH ooH NN oN 0H NN Ns ooH No NN scH N _HN oo oN oOH NN HN ssH NoH NN NN NN os sN NN sN Ho NN N sN so HN Ns NN NN NNH NHH HN HN Ns NN NN NN Ho NHH No H NN NN sN NN NN HN oN NH : NN NN sN NN NN HN oN oH z mmHanLm> .m 133 COUPLE SCORES 1. Clinic and Non+C1inic Sample Characteristics Variables Age Education Number of Years Social N H w H w Income Children Married Class Clinic Sample 1 “3 H3 20 15 2O 2 21 1 2 3H 35 2O 16 10 3 1h 1 3 33 33 20 1h 12 u 11 1 u 51 MM 20 16 15 2 15 l 5 50 50 1h 13 9 1 25 u 6 M3 U1 16 12 15 7 21 3 7 H1 38 18 1h 16 3 16 2 8 US M9 20 16 17 3 20 1 9 U3 “8 10 12 11 3 13 U 10 “l 33 13 12 1a 5 6 3 11 31 31 13 1M 12 2 12 3 l2 “5 U8 13 13 10 u 24 3 13 M7 u2 8 12 11 7 18 5 1H U2 38 12 8 8 H 15 U 15 38 35 18 16 11 3 13 2 Non-Clinic sample 16 29 29 18 1a 10 2 8 3 17 32 28 20 1D 5 2 9 2 18 3O 3O 2O 16 16 2 9 1 19 30 30 16 18 9 2 9 3 20 36 37 2O 13 12 6 16 1 21 33 31 2O 18 6 1 6 2 22 52 H6 20 18 17 3 25 1 23 31 30 2O 16 13 3 10 1 2H 27 26 1a 12 l“ 1 5 3 25 35 36 18 18 9 3 11 2 26 3O 28 2O 16 3 2 8 2 27 32 30 12 13 10 u 11 N 28 “7 H6 l2 12 13 u 2“ 3 29 27 25 15 15 8 2 6 h 30 26 24 2O 1“ 5 3 5 2 13M 2. Revealed Differences Task Scores Variables Spontaneous Agreement Dominance Time N 1 ‘2 3 1 2 3 Total 1 2 3 Total Clinic Sample 1 57 86 u5 + — — - 292 205 9uu_ luul 2 79 95 21 0 + 0 0 186, 285 392 863 3 81 98 33 + + + + 150 152 225 527 u 81 88 -12 + + — + 118 178 169 A65 5 52 57 9 - - 0 - 120 665 363 1118 6 62 62 17 + - + + 265 330 287 882 7 29 81 96 - 0 0 0 125 18a 157 u66 8 91 55 11 + 0 0 0 90 307 306 703 9 68 55 50 + 0 + + 118 178 169 H65 10 55 86 10 + 0 + + 100 186 282 568 11 36 81 . 29 - 0 0 0 105 221 18a 510 12 62 83 7M - 0 0 0 213 195 27h 682 13 1h 57 -1M + 0 + + 360 365 367 1092 in 62 98 98 - + — — 162 83 101 3H6 15 -31 76 60 0 — - - 199 1H6 85 u30 Non-Clinic Sample 16 7h 62 as + 0 - 0 170 230 160 560 17 ”5 95 95 + 0 - O 165 95 H2 302 18 21 95 71 + 0 - 0 u10 200 320 930 19 60 95 38 - - - - 175 137 252 564 20 71 81 91 + 0 + + 310 265 120 695 21 38 55 zu 0 0 + 0 217 250 305 772 22 67 62 76 + + - + 355 365 113 1133 23 71 95 ”8 + + 0 + 130 67 281 R78 2h 91 71 67 - - - - H7 155 216 uua 25 86 62 81 + 0 - 0 121 185 121 A27 26 62 57 52 + - 0 0 165 135 123 123 27 50 67 52 + + + + 253 131 211 628 28 86 76 88 + - + + 158 1“? 105 410 29 6H 29 69 0 + - 0 195 185 275 955 30 31 98 #3 0 - + 0 252 163 267 682