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

doi:10.1177/1094428105283190

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 journal › Review article › peer-review

63 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 language	English (US)
Pages (from-to)	5-28
Number of pages	24
Journal	Organizational Research Methods
Volume	9
Issue number	1
DOIs	https://doi.org/10.1177/1094428105283190
State	Published - Jan 2006
Externally published	Yes

Keywords

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

ASJC Scopus subject areas

General Decision Sciences
Strategy and Management
Management of Technology and Innovation

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Misangyi, V. F., LePine, J. A., Algina, J., & Goeddeke, F. (2006). 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. Organizational Research Methods, 9(1), 5-28. https://doi.org/10.1177/1094428105283190

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. / Misangyi, Vilmos F.; LePine, Jeffery A.; Algina, James et al.
In: Organizational Research Methods, Vol. 9, No. 1, 01.2006, p. 5-28.

Research output: Contribution to journal › Review article › peer-review

Misangyi, VF, LePine, JA, Algina, J & Goeddeke, F 2006, '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', Organizational Research Methods, vol. 9, no. 1, pp. 5-28. https://doi.org/10.1177/1094428105283190

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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.",

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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

Abstract

Keywords

ASJC Scopus subject areas

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