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Two Commitment Models as Indicative of Marital Expectations of Newlywed Women Carlos G. Flores Dr. Kelly Campbell (Faculty Advisor) Department of Psychology California State University San Bernardino
introduction
Yet it was not always so…
Problem
Two differing commitment models
Commitment Framework Personal Commitment “Want to” Moral Commitment “Ought to” Structural Commitment “Have to”
Investment Model Satisfaction With current relationship Size of Investment Can be material and immaterial Quality of Alternatives To current relationship
?
Research Questions What are women’s expectations of infidelity and divorce, particularly in the first two years of marriage when satisfaction typically declines?  What specific components of the Investment Model and the Commitment Framework best predict women’s expectations of infidelity and divorce?
Sample 197 Women Online Questionnaires Newly Married Less than 2 years Married Long enough to have already experienced dissatisfaction Without Children Why Women? Change in marriage roles (more than men) Usually engage more in relational maintenance More willing than men to discuss relationship
Analysis Standard multiple regression analysis used to investigate association between predictors: Commitment Framework (items by Johnson et al., 1999) Personal reasons to marry Moral reasons to marry Structural reasons to marry Investment Model (Investment Model Scale, Rusbult et al., 1998) Satisfaction in relationship Size of investment Quality of alternatives 	and criteria: Infidelity Expectations      Questions by Campbell, 2008 Divorce Expectations
Results
Overall Linear Model ,[object Object]
R = .411, Adjusted R2 = .134
Both models were also significantly related to divorce expectations, F(7, 166) = 16.04, p= .000
R = .635, Adjusted R2 = .378
Models were more strongly related to divorce expectations than infidelity expectations,[object Object]
Infidelity Expectations: Investment Model * p < .05
Divorce Expectations:Commitment Framework * p < .05
Divorce Expectations: Investment Model * p < .05

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Two Commitment Levels As Indicative Of Marital Expectations

  • 1. Two Commitment Models as Indicative of Marital Expectations of Newlywed Women Carlos G. Flores Dr. Kelly Campbell (Faculty Advisor) Department of Psychology California State University San Bernardino
  • 3.
  • 4.
  • 5. Yet it was not always so…
  • 6.
  • 7.
  • 9.
  • 11. Commitment Framework Personal Commitment “Want to” Moral Commitment “Ought to” Structural Commitment “Have to”
  • 12.
  • 13. Investment Model Satisfaction With current relationship Size of Investment Can be material and immaterial Quality of Alternatives To current relationship
  • 14.
  • 15. ?
  • 16.
  • 17. Research Questions What are women’s expectations of infidelity and divorce, particularly in the first two years of marriage when satisfaction typically declines? What specific components of the Investment Model and the Commitment Framework best predict women’s expectations of infidelity and divorce?
  • 18. Sample 197 Women Online Questionnaires Newly Married Less than 2 years Married Long enough to have already experienced dissatisfaction Without Children Why Women? Change in marriage roles (more than men) Usually engage more in relational maintenance More willing than men to discuss relationship
  • 19. Analysis Standard multiple regression analysis used to investigate association between predictors: Commitment Framework (items by Johnson et al., 1999) Personal reasons to marry Moral reasons to marry Structural reasons to marry Investment Model (Investment Model Scale, Rusbult et al., 1998) Satisfaction in relationship Size of investment Quality of alternatives and criteria: Infidelity Expectations Questions by Campbell, 2008 Divorce Expectations
  • 21.
  • 22. R = .411, Adjusted R2 = .134
  • 23. Both models were also significantly related to divorce expectations, F(7, 166) = 16.04, p= .000
  • 24. R = .635, Adjusted R2 = .378
  • 25.
  • 28. Divorce Expectations: Investment Model * p < .05
  • 29. Discussion Marriage has changed from being based on social or economic obligations to a personal choice based on love This shift caused marriage to become more unstable The biggest predictors of infidelity and divorce expectations were personal commitment and personal satisfaction
  • 30. Discussion continued Findings support the idea that marriage is based on personal fulfillment Once love and satisfaction fade, infidelity and divorce are considered viable options. Information gleaned from this study can be used by clinicians to help couples make informed decisions about marriage, and thereby reduce marital instability.
  • 31. End
  • 32. Investment Model Scale Sample Items Relationship Commitment “I am committed to maintaining my relationship with my partner.” Relationship Satisfaction “My partner fulfills my needs for companionship (doing things together, enjoying each others company etc.)” Quality of Alternatives “My needs for intimacy, companionship etc., could easily be fulfilled in an alternative relationship” Relationship Investments “I put a great deal into our relationship that I would lose if the relationship were to end”
  • 33. Commitment Framework Sample Items Personal Commitment “To what extent do you love your partner at this stage?” Moral Commitment “If you divorced, to what extent would you be disappointed in yourself because you had broken a sacred vow?” Structural Commitment “If you and your partner were to divorce: you would miss important income, insurance, and other property”

Editor's Notes

  1. Personal introduction… Name, Faculty Advisor, Department… then introduce topic
  2. Why do people marry? If you ask, more than likely they will tell you that … (NEXT SLIDE)
  3. They do it for love! (NEXT SLIDE)
  4. Yet it was not always so, as before… (NEXT SLIDE)
  5. Both men and women benefited from marriage in the past. Although in most cases, they may have not initially married for love, it may have developed once partners married. Women had no other options in the past. Women could not abandon the family and survive (unlike men)
  6. After many changes (the 1970’s women revolution, no fault divorce laws)the role of women in the marriage changed, as they do not depend on men anymore and marry for their own reasons. Likewise, men do not depend on women either, freeing both partners to marry for personal, rather than survival or economic reasons
  7. The problem with all this is that marriages that are based PRIMARILY on personal rather than structural reasons….
  8. are more fragile, and are more prone to experience infidelity and/or end in divorce.
  9. To understand the nature of commitment, we will use two different commitment models.
  10. The commitment framework…. (describe each type of commitment)
  11. Perhaps can go into more detail (10 minutes to fill)
  12. Investment model
  13. Better visualization
  14. Using these two models, We seek to look into newly married women’s own expectations…..
  15. of infidelity and divorce
  16. More specifically… we are using two competing commitment models to see which components of commitment would predict infidelity and divorce expectations, we used research questions rather than specific hypotheses as we did not know which model would better predict expectations, however we believed that personal commitment and satisfaction would be significant predictors.
  17. Discuss where/how the sample was obtained, why less than 2 years married, no children, and why only women
  18. Describe the analysis.. Perhaps reiterate the different types of commitment (time permitting)
  19. Segue into results
  20. Overall, both models are good predictors of infidelity and divorce expectations, furthermore, they are better predictors of divorce expectations than infidelity expectations (R square = medium effect @ .3)
  21. Personal and Moral commitment here were significant
  22. In this model only quality of alternatives was significant
  23. Personal commitment
  24. Relationship satisfaction
  25. All items were on a 7-point liker scale ranging from “Don’t agree at all” to “Agree completely”
  26. All items were on a 7-point liker scale ranging from “Strongly Disagree” to “Strongly Agree”