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01-09-1999 | Artikelen

Principes en toepassing van structurele modellen

Auteur: Prof. Dr. J. J. Hox

Gepubliceerd in: Kind en adolescent | Uitgave 3/1999

Samenvatting

Dit artikel geeft een niet-technische inleiding in het gebruik van structurele modellen, ook wel kort aangeduid met LISREL-modellen. Structurele modellen stellen onderzoekers in staat ingewikkelde modellen te construeren, waaronder factoranalyse en multipele regressieanalyse, en een combinaties hiervan. Onderzoekers moeten voorafgaand aan de eigenlijke analyses een model specificeren voor hun gegevens. Vervolgens wordt dit model getoetst aan de empirische gegevens. Wanneer het model niet goed past, kunnen suggesties gegeven worden voor verbetering van het model middels zogenaamde modificatie-indexen.

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Arbucle, J. (1997). Amos user's guide. Chicago: Smallwaters.

Bentler, P.M. (1995). EQS structural equations program manual. Encino, ca: Multivariate Software.

Bentler, P.M. & Bonett, D.G. (1980). Significance tests and goodness-of-fit in the analysis of covariance structures. Psychological Bulletin, 88, 588-606.CrossRef

Bollen, K.A. (1989). Structural Equations with Latent Variables. New York: Wiley.

Byrne, B.M., Shavelson, R.J. & Muthén, B. (1989). Testing the equivalence of factor covariance and mean structure: The issue of partial measurement invariance. Psychological Bulletin, 105, 456-466.CrossRef

Chou, C.-P. & Bentler, P.M. (1995). Estimates and tests in structural equation modeling. In R.H. Hoyle (Ed.), Structural equation modeling: concepts, issues and applications (pp. 37-55). Newbury Park, CA: Sage.

Cudeck, R. & Henley, S.J. (1991). Model selection in covariance structure analysis and the ‘problem’ of sample size: a clarification. Psychological Bulletin, 109, 512-519.CrossRefPubMed

Hoogland, J. & Boomsma, A. (1997). Robustness studies in covariance structure modeling: An overview and a meta-analysis. Sociological Methods & Research, 26, 329-367CrossRef

Hoyle, R.H. (Ed.) (1995). Structural equation modeling: concepts, issues and applications. Newbury Park, CA: Sage.

Hox, J.J. (1995). Amos, Eqs and Lisrel for Windows: A comparative review. Structural Equation Modeling, 2, 79-91.CrossRef

Hu, L. & Bentler, P.M. (1999). Cutoff criteria for fit indices in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55.CrossRef

Jöreskog, K.G. & Sörbom, D. (1989). Lisrel 7: A guide to the program and applications. Chicago: spss.

Kline, R, (1998). Software programs for structural equation modeling: Amos, Eqs and Lisrel. Journal of Psychoeducational Assessment, 16, 302-323.CrossRef

Little, T., Schnabel, K.U. & Baumert, J. (Eds.) (1999). Modeling longitudinal and multiple-group data: Practical issues, applied approaches, and specific examples. Hillsdale, NJ: Erlbaum.

Loehlin, J.C. (1998). Latent variable models: An introduction to factor, path, and structural analysis. Hillsdale, NJ: Erlbaum.

MacCallum, R.C. (1989). Specification searches in covariance structure modeling. Psychological Bulletin, 100, 533-541.

MacCallum, R.C., Roznowskei, M. & Necowitz, L.B. (1992). Model modification in covariance structure analysis: The problem of capitalization on chance. Psychological Bulletin, 114, 490-504.CrossRef

Marcoulides, G.A. & Schumacker, R.A. (Eds.) (1996). Advanced structural equation modeling: Issues and techniques. Hillsdale, NJ: Erlbaum.

Mueller, R. (1996). Basic principles of structural equation modeling. New York: Springer.

Schumacker, R.E. & Lomax, R.G. (1996). A beginners guide to structural equation modeling. Hillsdale, NJ: Erlbaum.

Sörbom, D. (1982). Structural equation models with structured means. In K.G. Jöreskog & H. Wold (Eds.), Systems under indirect observation. Amsterdam: Elsevier.

Spirtes, P., Scheines, R. & Glymour, C. (1991). Simulation studies of the reliability of computer-aided model specification using the Tetrad II, Eqs, and Lisrel. Sociological Methods & Research, 19, 3-66.CrossRef

Steiger, J.H. (1990). Structural modeling evaluation and modification: An interval estimation approach. Multivariate Behavior Research, 25, 173-180.CrossRef

Tucker, C. & Lewis, C. (1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38, 1-10.CrossRef

Waller, N.G. (1993). Software review. Seven cfa programs: eqs, ezpath, lics, liscomp, lisrel7, simplis, and calis. Applied Psychological Measurement, 17, 73-100.CrossRef

Werts, C.E. (1979). Confirmatory factor analysis applications: missing data problems and comparison of path models between populations. Multivariate Behavior Research, 14, 199-213.CrossRef

Wheaton, B., Muthén, B.O., Alwin, D.F. & Summers, G.F. (1987). Assessing reliability and stability in panel surveys. In D.R. Heise (Ed.), Sociological Methodology 1977 (pp. 84-136). San Francisco: Jossey-Bass.

Wright, S. (1921). Correlation and causation. Journal of Agricultural Research, 20, 557-585.

Titel: Principes en toepassing van structurele modellen
Auteur: Prof. Dr. J. J. Hox
Publicatiedatum: 01-09-1999
Uitgeverij: Bohn Stafleu van Loghum
Gepubliceerd in: Kind en adolescent / Uitgave 3/1999
Print ISSN: 0167-2436
Elektronisch ISSN: 1876-5998
DOI: https://doi.org/10.1007/BF03060740

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