Structural equation modeling methods of hypothesis testing of latent variable means.

This article serves as a conceptual introduction to two methods of testing group differences on a latent variable: group code analysis and structured means analysis.

[1]  R. Lennox,et al.  Conventional wisdom on measurement: A structural equation perspective. , 1991 .

[2]  Peter M. Bentler,et al.  Structural equation analyses of clinical subpopulation differences and comparative treatment outcomes: characterizing the daily lives of drug addicts. , 1994, Journal of consulting and clinical psychology.

[3]  Gregory T. Smith,et al.  Formulating clinical research hypotheses as structural equation models: a conceptual overview. , 1994, Journal of consulting and clinical psychology.

[4]  B. Byrne,et al.  Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. , 1989 .

[5]  R. Fassinger.  Use of Structural Equation Modeling in Counseling Psychology Research. , 1987 .

[6]  C. J. Huberty,et al.  Multivariate analysis versus multiple univariate analyses. , 1989 .

[7]  Jacob Cohen,et al.  Problems in the Measurement of Latent Variables in Structural Equations Causal Models , 1990 .

[8]  B. Muthén,et al.  Age differences in the symptoms of depression: a latent trait analysis. , 1994, Journal of gerontology.

[9]  Beatrice Baldwin.  A Primer in the Use and Interpretation of Structural Equation Models , 1989 .

[10]  Barbara M. Byrne,et al.  A Primer of LISREL , 1989 .

[11]  A. Moore.  Structural Equation Modeling in Special Education Research , 1995 .

[12]  Scott E. Maxwell,et al.  Multivariate group comparisons of variable systems: MANOVA and structural equation modeling. , 1993 .

[13]  B. Muthén.  Latent variable modeling in heterogeneous populations , 1989 .