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Multivariate data analysis for outcome studies
Author(s) -
Spector Paul E.
Publication year - 1981
Publication title -
american journal of community psychology
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.113
H-Index - 112
eISSN - 1573-2770
pISSN - 0091-0562
DOI - 10.1007/bf00896359
Subject(s) - multivariate analysis of variance , univariate , multivariate statistics , outcome (game theory) , multivariate analysis , statistics , variance (accounting) , statistical power , computer science , missing data , data mining , econometrics , psychology , mathematics , accounting , mathematical economics , business
The use of multivariate statistical techniques for analyzing the complex data often gathered in outcome studies is discussed. The multivariate analysis of variance (MANOVA) is suggested for multiple group studies common to outcome studies. This technique can be utilized for a large number of specific research designs whenever multiple outcome measures are collected. MANOVA offers two specific advantages over more familiar univariate approaches: it presents better control over Type 1 error rates while preserving statistical power, and it allows more thorough analysis of complex data.