Testing Mediation and Suppression Effects of Latent Variables

Organizational Research Methods - Tập 11 Số 2 - Trang 296-325 - 2008
Gordon W. Cheung1, Rebecca S. Lau2
1Department of Management, Chinese University of Hong Kong, Shatin, Hong Kong
2Department of Management, Pamplin College of Business, Virginia Polytechnic Institute and State University, Blacksburg, VA, US

Tóm tắt

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, hierarchical regression models, and structural equation modeling (SEM). This study extends MacKinnon and colleagues (MacKinnon, Lockwood, Hoffmann, West, & Sheets, 2002; MacKinnon, Lockwood, & Williams, 2004, MacKinnon, 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.

Từ khóa


Tài liệu tham khảo

Alwin, D.F. & Jackson, D.J. (1979). Measurement models for response errors in surveys: Issues and applications. In K. F. Schuessler (Ed.), Sociological methodology (pp. 68-119). San Francisco: Jossey-Bass.

Arbuckle, J.L., 1999, Amos 4.0 user's guide

10.1214/aoms/1177730442

10.1037/0022-3514.51.6.1173

10.1002/9781118619179

10.2307/271084

10.1111/j.2044-8317.1978.tb00581.x

10.1037/0021-9010.86.5.1043

Burton, J.P., 2002, Journal of Managerial Issues, 14, 181

10.2307/3069440

10.1037/0021-9010.65.4.467

Cohen, J., 1983, Applied multiple regression/Correlation analysis for the behavioral sciences, 2

10.1177/001316447403400105

10.1007/978-1-4899-4541-9

Gleser, L.J., 1996, J. DiCiccio and B. Efron. Statistical Science, 11, 219

10.1080/01621459.1960.10483369

10.1037/0021-9010.70.3.577

10.1037/0022-006X.65.4.599

10.1037/0022-006X.62.3.429

Joöreskog K., 1996, LISREL 8: User's reference guide

10.1177/0193841X8100500502

10.1002/job.4030160304

Kenny, D.A., Kashy, D.A. & Bolger, N. (1998). Data analysis in social psychology. In D. Gilbert, S. Fiske , & G. Lindzey (Eds.), The Handbook of Social Psychology (Vol. 1, 4th ed., pp. 233-265). Boston, MA: McGraw-Hill.

10.1002/smj.206

10.5465/3069351

10.1177/0049124101030002004

10.1177/0193841X9301700202

10.1037/1082-989X.7.1.83

10.1207/s15327906mbr3901_4

10.1207/s15327906mbr3001_3

10.4135/9781412983532

10.1037/0021-9010.84.4.585

10.2307/3069428

10.1111/j.1744-6570.2001.tb00234.x

10.2307/3069452

10.2307/270723

10.1007/BF02295291

10.1037/0033-2909.109.3.524

10.1177/001316447803800415

Whitener, E.M., 2001, Journal of Management, 27, 515

10.1037/0021-9010.87.6.1068

Thông tin
Thông tin xuất bản

Organizational Research Methods

Tập 11 Số 2

296-325

Thông tin tác giả