Both authors contributed equally; order of authorship is arbitrary. An earlier version of this paper was presented in J. S. Phillips (Chair), Some problems and innovative solutions in structural equations modeling used for management theory building. Symposium conducted at the 54th annual meeting of the Academy of Management, Dallas, TX. We thank Frank Schmidt for his collaboration on an earlier manuscript. We also acknowledge Jack Hunter for his pioneering work on combining meta-analysis and path analysis. We thankfully acknowledge the contributions of three anonymous reviewers; this manuscript has greatly benefited from all their extensive comments.
THEORY TESTING: COMBINING PSYCHOMETRIC META-ANALYSIS AND STRUCTURAL EQUATIONS MODELING
Version of Record online: 7 DEC 2006
Volume 48, Issue 4, pages 865–885, December 1995
How to Cite
VISWESVARAN, C. and ONES, D. S. (1995), THEORY TESTING: COMBINING PSYCHOMETRIC META-ANALYSIS AND STRUCTURAL EQUATIONS MODELING. Personnel Psychology, 48: 865–885. doi: 10.1111/j.1744-6570.1995.tb01784.x
- Issue online: 7 DEC 2006
- Version of Record online: 7 DEC 2006
This paper presents an overview of a useful approach for theory testing in the social sciences that combines the principles of psychometric meta-analysis and structural equations modeling. In this approach to theory testing, the estimated true score correlations between the constructs of interest are established through the application of meta-analysis (Hunter & Schmidt, 1990), and structural equations modeling is then applied to the matrix of estimated true score correlations. The potential advantages and limitations of this approach are presented. The approach enables researchers to test complex theories involving several constructs that cannot all be measured in a single study. Decision points are identified, the options available to a researcher are enumerated, and the potential problems as well as the prospects of each are discussed.