Testing Mediation and Suppression Effects of Latent Variables Bootstrapping With Structural Equation Models  

Oleh:

Cheung, Gordon W. ; Lau, Rebecca S.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Organizational Research Methods vol. 11 no. 2 (Apr. 2008), page 296-325.
Topik: Mediating Effects; Suppression Effects; Structural Equation Modeling
Fulltext: 296.pdf (795.19KB)

Ketersediaan

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

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Isi artikel

Because of the importance of mediation studies, researchers have been continuously searching for the best statistical test for mediation effect. The approaches that have been most commonly employed include those that use zero-order and partial correlation, hierarvhical regression models, and structural equation modeling (SEM). This study extends MacKinnon and colleagues (MacKinnon, Lockwood, Hoffmann, West, & Sheets, 2002; MacKinnon, Lockwood, & Williams, 2004, MacKinnnon, Warsi, & Dwyer, 1995) works by conducting a simulation that examines the distribution of mediation and suppression effects of latent variables with SEM, and the properties of confidence intervals developed from eight different methods. Results show that SEM provides unbiased estimates of mediation and suppression effects, and that the bias-corrected bootstrap confidence intervals perform best in testing for mediation and suppression effects. Steps to implement the recommended procedures with Amos are presented.

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