A Comparison of Approaches to Forming Composite Measures in Structural Equation Models
Tóm tắt
A common practice in applications of structural equation modeling techniques is to create composite measures from individual items. The purpose of this article was to provide an empirical comparison of several composite formation methods on model fit. Data from 1, 177 public school teachers were used to test a model of union commitment in which alternative composite formation methods were used to specify the measurement components of the model. Bootstrapping procedures were used to generate data for two additional sample sizes. Results indicated that the use of composites, in general, resulted in improved overall model fit as compared to treating all items as individual indicators. Lambda values and explained criterion variance indicated that this improved model fit was due to the creation of strong measurement models. Implications of these results for researchers using composites are discussed.
Từ khóa
Tài liệu tham khảo
Agars, M., Unckless, A. & Tesluk, P. E. (1998, April). A cross-level examination of factors influencing union commitment and participation. Poster session presented at the 13th Annual Conference of the Society for Industrial and Organizational Psychology, Dallas, TX.
Bentler, P. M. (1995). EQS structural equations program manual. Encino, CA: Multivariate Software.
Jöreskog, K. & Sörbom, D. (1996). LISREL 8: User’s reference guide. Chicago: Scientific Software International.
Kelloway, E. K. (1998). Using LISREL for structural equation modeling: A researcher’s guide. Thousand Oaks, CA: Sage.
Nunnally, J. C. & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill.