This Article Full Text (PDF) References Alert me when this article is cited Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Widaman, K. F. Search for Related Content Social Bookmarking                         What's this?

Hierarchically Nested Covariance Structure Models for Multitrait-Multimethod Data

Department of Psychology, University of California, Riverside CA 92521, U.S.A.

A taxonomy of covariance structure models for rep resenting multitrait-multimethod data is presented. Us ing this taxonomy, it is possible to formulate alternate series of hierarchically ordered, or nested, models for such data. By specifying hierarchically nested models, significance tests of differences between competing models are available. Within the proposed framework, specific model comparisons may be formulated to test the significance of the convergent and the discriminant validity shown by a set of measures as well as the ex tent of method variance. Application of the proposed framework to three multitrait-multimethod matrices al lowed resolution of contradictory conclusions drawn in previously published work, demonstrating the utility of the present approach.

Applied Psychological Measurement, Vol. 9, No. 1, 1-26 (1985)
DOI: 10.1177/014662168500900101


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?

This article has been cited by other articles:

				H. A. Richardson, M. J. Simmering, and M. C. Sturman A Tale of Three Perspectives: Examining Post Hoc Statistical Techniques for Detection and Correction of Common Method Variance Organizational Research Methods, October 1, 2009; 12(4): 762 - 800. [Abstract] [PDF]

				Wang Shujuan, Qian Meihua, and Zhang Jianxin Factorial Structure of the Anxiety Control Questionnaire in Chinese Adolescents Journal of Psychoeducational Assessment, August 1, 2009; 27(4): 334 - 344. [Abstract] [PDF]

				G. E. Gignac Revisiting the Factor Structure of the WAIS-R: Insights Through Nested Factor Modeling Assessment, September 1, 2005; 12(3): 320 - 329. [Abstract] [PDF]

				S. R. Baker, J. B. Victor, A. L. Chambers, and C. F. Halverson Jr Adolescent Personality: A Five-Factor Model Construct Validation Assessment, December 1, 2004; 11(4): 303 - 315. [Abstract] [PDF]

				R. Eisenberger, P. Lynch, J. Aselage, and S. Rohdieck Who Takes the most Revenge? Individual Differences in Negative Reciprocity Norm Endorsement Pers Soc Psychol Bull, June 1, 2004; 30(6): 787 - 799. [Abstract] [PDF]

				H. W. Marsh and A. S. Yeung The Distinctiveness of Affects in Specific School Subjects: An Application of Confirmatory Factor Analysis With the National Educational Longitudinal Study of 1988 American Educational Research Journal, January 1, 1996; 33(3): 665 - 689. [Abstract] [PDF]

				R. Cudeck Msultiplicative Models and MTMM Matrices Journal of Educational and Behavioral Statistics, January 1, 1988; 13(2): 131 - 147. [Abstract] [PDF]

				R. D. Hays and K. White The Importance of Considering Alternative Structural Equation Models in Evaluation Research Eval Health Prof, March 1, 1987; 10(1): 90 - 100. [Abstract] [PDF]