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Family and Consumer Sciences Research Journal
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Approaches To The Statistical Analysis Of Family Data

Walter R. Schumm

Department of Family and Child Development, Kansas State University, Manhattan, KS 66506

Howard L. Barnes

Department of Family Social Science, University of Minnesota, St. Paul, MN 55108

Stephan R. Bollman

Department of Family and Child Development, Kansas State University, Manhattan, KS 66506

Anthony P. Jurich

Department of Family and Child Development, Kansas State University, Manhattan, KS 66506

George A. Milliken

Department of Statistics, Kansas State University, Manhattan, KS 66506

Family scholars are now becoming more and more concerned about the extent to which data collected from only one family member can accurately describe what is happening in the family. Little systematic guidance, however, has been available to researchers on how to analyze data collected from more than one family member. This paper presents several alternatives for the statistical analysis of family data. In general, it appears that multivariate multiple regression, typo logical analysis, and repeated measures designs are among the more useful tech niques for studying family data.

Family and Consumer Sciences Research Journal, Vol. 14, No. 1, 112-122 (1985)
DOI: 10.1177/1077727X8501400111
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