Method Variance and Marker Variables: A Review and Comprehensive CFA Marker Technique

• Published in: Organizational Research Methods Vol. 13; no. 3; pp. 477 - 514
• Main Authors: Williams, Larry J., Hartman, Nathan, Cavazotte, Flavia
• Format: Book Review Journal Article
• Language: English
• Published: Los Angeles, CA SAGE Publications 01.07.2010; SAGE PUBLICATIONS, INC
• Subjects: Correlation analysis; Empirical analysis; Empirical equations; Factor analysis; Markers; Mathematical analysis; Structural equation modeling; Variables; Variance; quantitative: structural equation modeling; method variance; quantitative research; construct validation procedures; reliability and validity
• ISSN: 1094-4281; 1552-7425
• DOI: 10.1177/1094428110366036

Lindell and Whitney introduced a partial correlation technique, now referred to as the correlational marker technique, for controlling method variance using a marker variable that is theoretically unrelated to substantive variables in a study. This article (a) first reviews their specific analysis plan, and then (b) reviews empirical studies that have followed all or part of this plan. The authors also (c) describe a structural equation method that has been applied to the analysis of marker variables and (d) review empirical studies using this analytical approach. Next, the authors (e) develop a comprehensive confirmatory factor analysis (CFA) marker technique analysis plan, and (f) demonstrate this plan with an empirical example. Finally, the authors (g) describe how marker variables can be examined along with other method variance processes, (h) discuss the important role of theory in the critical step of selecting marker variables, and (i) discuss assumptions and limitations of the Comprehensive CFA Marker Technique.