Comparison of Three Meta-Analytic Procedures for Estimating Moderating Effects of Categorical Variables  

Oleh:

Aguinis, Herman ; Sturman, Michael C. ; Pierce, Charles A.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Organizational Research Methods vol. 11 no. 1 (Jan. 2008), page 9-34.
Topik: Meta-Analysis; Moderator Variable; Moderating Effect; Categorical Variable
Fulltext: 9.pdf (153.6KB)

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Perpustakaan Pusat (Semanggi) Nomor Panggil: OO3.9 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

The authors conducted Monte Carlo simulations to compare the Hedges and Olkin, the Hunter and Schmidt, and a refinement of the Aguinis and Pierce meta-analytic approaches for estimating moderating effects of categorical variables. The simulation examined binary moderator variables (e.g., gender—male, female; ethnicity—majority, minority). The authors compared the three meta-analytic methods in terms of their point estimation accuracy and Type I and Type II error rates. Results provide guidelines to help researchers choose among the three meta-analytic techniques based on theory (i.e., exploratory vs. confirmatory research) and research design considerations (i.e., degree of range restriction and measurement error).

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