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Approaches To The Statistical Analysis Of Family Data
Author(s) -
Schumm Walter R.,
Barnes Howard L.,
Bollman Stephan R.,
Jurich Anthony P.,
Milliken George A.
Publication year - 1985
Publication title -
home economics research journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.372
H-Index - 31
eISSN - 1552-3934
pISSN - 0046-7774
DOI - 10.1177/1077727x8501400111
Subject(s) - family member , statistical analysis , family studies , multivariate statistics , data science , computer science , multivariate analysis , data mining , psychology , statistics , genealogy , mathematics , history , machine learning
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.