On methods in the analysis of profile data

This paper is concerned with methods for analyzing quantitative, non-categorical profile data, e.g., a battery of tests given to individuals in one or more groups. It is assumed that the variables have a multinormal distribution with an arbitrary variance-covariance matrix. Approximate procedures based on classical analysis of variance are presented, including an adjustment to the degrees of freedom resulting in conservativeF tests. These can be applied to the case where the variance-covariance matrices differ from group to group. In addition, exact generalized multivariate analysis methods are discussed. Examples are given illustrating both techniques.We are indebted to Mrs. Norma French for performing all the calculations appearing in this paper.     

The relationship among sex roles,living arrangements,and the division of household responsibilities

Twenty couples living together, 10 married and 10 unmarried, were given the Bem Sex-Role Inventory and a questionnaire on the performance of household responsibilities. Findings provided partial support for hypotheses relating more traditional sex roles, living arrangements, and division of household responsibilities. Results also indicated a greater variability in household responsibilities for unmarried males and for males and females who were not traditionally sex typed. The latter results support a model which was formulated relating changes in sex-role attitudes with changes in sex-related behavior. In this model, a period of uncertainty intervenes between the change in attitude and the change in related behavior.