Predicting divorce at marital therapy intake: A preliminary model (original) (raw)

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1995 Predicting Divorce at Marital Therapy Intake a Preliminary Model.pdf

The purpose qf this study was to predict divorce in a marital-distressed and the~apy-seeking population. The sample was from the case records of the Marriage nnd Famlly Therapy Clinic at Brigham Yoting University. Demogrnphic and psychological data as well as Marital Status Inventory (.MSI) and Marital Adjustment Test ( M A T ) scores were available for analysis. Statistical procedures successfully predicted mnrital status in a high percentage ofcases. The most importnntfindings were that wlves' variables were more important in divorce prediction than were htisbands'. In addition, marital quality was not found to be predictive of marital status.

Predicting Divorce at Marital Therapy Intake: Wives' Distress and the Marital Status Inventory*

Journal of Marital and Family Therapy, 1984

The Marital Status Inventory (MSI), a measure of divorce potential was given to couples in six independent samples. Scores from the five clinical sites and one marital enrichment sample (N = 241 couples) were used to provide adequate reliability, discriminant validity and predictive validity data. Compound probability for the five clinical sites supports the contention that, overall, wives' are more distressed than their husbands. The MSI was also able to identify couples who later divorced. However, the Guttman properties of the MSI, previously identified, were not replicated. Clinical implications of the higher wives' scores for prediction of divorce and marital therapy are discussed.

1984 Prediciting Divorce at Marital Therapy Intake-Wives Distress and the MSI.pdf

The Marital Status Inventory (MSI), a measure of divorce potential was given to couples in six independent samples. Scores from the five clinical sites and one marital enrichment sample (N = 241 couples) were used to provide adequate reliability, discriminant validity and predictive validity data. Compound probability for the five clinical sites supports the contention that, overall, wives' are more distressed than their husbands. The MSI was also able to identify couples who later divorced. However, the Guttman properties of the MSI, previously identified, were not replicated. Clinical implications of the higher wives' scores for prediction of divorce and marital therapy are discussed.

Predicting Marital Therapy Dropouts*

Journal of Marital and Family Therapy, 1991

The purpose of this study was to predict therapy dropouts using data gathered at marital therapy intake. Intake data included standardized assessments and demographic information. The sample consisted of 4 74 couples who were seeking marital therapy and who attended at least one therapy session. Seventy-two couples met the dropout criteria, and a random sample of equal size was drawn from the rest of the couples for the analyses. Data from these two groups of couples were analyzed with multiple regression and discriminant analysis formulas. Three variables-having less than two children, having a mule intake clinician, and a presenting problem relating only to one spouse-were significant predictors in accounting for couples who would drop out of therapy. In the best model, high phobic anxiety scores for husbands and a presenting problem relating to parenting, along with the other three variables, produced a model that accurately classified 82% of the couples who dropped out of therapy.

Distress and Divorce: Establishing Cutoff Scores for the Marital Status Inventory

Contemporary Family Therapy, 2003

This study was designed to identify Marital Status Inventory (MSI) scores that could be used as cutoff points for degrees of marital distress. Cutoff scores are useful in clinical work as a way to estimate degrees of marital distress, differentiate couples for treatments, and to provide uniformity across studies. Subjects consisted of 474 couples requesting marital therapy at a university-based

1991 Predicting Marital Therapy Dropouts.pdf

The purpose of this study was to predict therapy dropouts using data gathered at marital therapy intake. Intake data included standardized assessments and demographic information. The sample consisted of 4 74 couples who were seeking marital therapy and who attended at least one therapy session. Seventy-two couples met the dropout criteria, and a random sample of equal size was drawn from the rest of the couples for the analyses. Data from these two groups of couples were analyzed with multiple regression and discriminant analysis formulas. Three variables-having less than two children, having a mule intake clinician, and a presenting problem relating only to one spouse-were significant predictors in accounting for couples who would drop out of therapy. In the best model, high phobic anxiety scores for husbands and a presenting problem relating to parenting, along with the other three variables, produced a model that accurately classified 82% of the couples who dropped out of therapy.