Small sample profile analysis with many variables

Scott E. Maxwell, Richard D. Arvey

Research output: Contribution to journalArticle

22 Scopus citations

Abstract

Monte Carlo methods were used to investigate the adequacy of 2 approaches to data analysis in a repeated measures design in which the number of repeated levels was large and the sample size was relatively small. The techniques examined were G. E. Box's (1954) ε-adjustment and H. Huynh and L. S. Feldt's (1976) ε-adjustment. Results show that approximate univariate approaches to repeated measures can successfully be used even when the number of Ss is smaller than the number of levels of the repeated factor. (22 ref) (PsycINFO Database Record (c) 2006 APA, all rights reserved).

Original languageEnglish (US)
Pages (from-to)778-785
Number of pages8
JournalPsychological Bulletin
Volume92
Issue number3
DOIs
StatePublished - Nov 1 1982

Keywords

  • Monte Carlo method, evaluation of data analysis of repeated measures design with many repeated levels & small sample

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