The adequacy of repeated-measures regression for multilevel research: Comparisons with repeated-measures ANOVA, multivariate repeated-measures ANOVA, and multilevel modeling across various multilevel research designs

Vilmos F. Misangyi, Jeffery A. LePine, James Algina, Francis Goeddeke

Research output: Contribution to journalReview article

44 Scopus citations

Abstract

The authors assess the suitability of repeated-measures regression (RMR) to analyze multilevel data in four popular multilevel research designs by comparing results of RMR analyses to results of analyses using techniques known to produce correct results in these designs. The findings indicate that RMR may be suitable for only a small number of situations and that repeated-measures ANOVA, multivariate repeated-measures ANOVA, and multilevel modeling may be better suited to analyze multilevel data under most circumstances. The authors conclude by offering recommendations regarding the appropriateness of the different techniques given the different research designs.

Original languageEnglish (US)
Pages (from-to)5-28
Number of pages24
JournalOrganizational Research Methods
Volume9
Issue number1
DOIs
StatePublished - Jan 1 2006
Externally publishedYes

Keywords

  • ANOVA
  • MANOVA
  • Multi-level research
  • Multilevel modeling
  • Repeated-measures regression

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Strategy and Management
  • Management of Technology and Innovation

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