Meta-analysis using linear mixed models

Ching Fan Sheu; Sawako Suzuki

doi:10.3758/BF03195354

Meta-analysis using linear mixed models

Ching Fan Sheu, Sawako Suzuki

Institute of Education

Research output: Contribution to journal › Article › peer-review

51 Citations (Scopus)

Abstract

Psychologists often use special computer programs to perform meta-analysis. Until recently, this had been necessary because standard statistical packages did not provide procedures for such analysis. This paper introduces linear mixed models as a framework for meta-analysis in psychological research, using a popular general purpose statistical package, SAS. The approach is illustrated with three examples, using SAS PROC MIXED.

Original language	English
Pages (from-to)	102-107
Number of pages	6
Journal	Behavior Research Methods, Instruments, and Computers
Volume	33
Issue number	2
DOIs	https://doi.org/10.3758/BF03195354
Publication status	Published - 2001 May

All Science Journal Classification (ASJC) codes

Experimental and Cognitive Psychology
Psychology (miscellaneous)
General Psychology

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10.3758/BF03195354

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Meta-analysis using linear mixed models

Abstract

All Science Journal Classification (ASJC) codes

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