publication . Other literature type . Article . 1995

A multivariate hierarchical model for studying psychological change within married couples.

Stephen W. Raudenbush; Robert T. Brennan; Rosalind C. Barnett;
  • Published: 01 Jan 1995
  • Publisher: American Psychological Association (APA)
Abstract
This article illustrates new statistical methods for the study of psychological change in married couples. The design involves time-series data on each partner. The analysis combines longitudinal methods for studies of individual change with cross-sectional methods for the study of matched pairs. Each person is viewed as changing over time as a function of an individual growth curve or change function. As in previous studies of individual change, a person's trajectory depends on time-invarian t personal background characteristics and time-varying changes in the environment. However, unlike typical studies of individual change, a person's changing psychological p...
Subjects
Medical Subject Headings: sense organsskin and connective tissue diseases
free text keywords: General Psychology, Social psychology, Multivariate statistics, Covariate, Statistical model, Hierarchical database model, Social relation, Missing data, Psychology, Cross-sectional study, Multivariate analysis
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