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The Effect of Scale Referent on Tests of Mean Structure Parameters.
- Source :
- Journal of Experimental Education; Jul2017, Vol. 85 Issue 3, p376-388, 13p
- Publication Year :
- 2017
-
Abstract
- Structured means analysis is a very useful approach for testing hypotheses about population means on latent constructs. In such models, a z test is most commonly used for testing the statistical significance of the relevant parameter estimates or of the differences between parameter estimates, where a z value is computed based on the asymptotic standard error estimate associated with the parameter of interest. In the current article, a series of population analyses demonstrate that the z tests for latent mean structure parameters or, more directly, the standard error estimates upon which those z tests are based are, not invariant to how factors are scaled. As such, circumstances exist in which latent mean inference is compromised solely as a result of scaling decisions. This problem is illustrated in the context of between-subjects (i.e., multisample) latent means models and within-subjects latent means models. Recommendations for practice are also offered. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00220973
- Volume :
- 85
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Journal of Experimental Education
- Publication Type :
- Academic Journal
- Accession number :
- 122554402
- Full Text :
- https://doi.org/10.1080/00220973.2016.1172303