Strukturgleichungsmodelle: spezielle Themen

Bollen, Kenneth A. und Patrick J. Curran (2006). Latent Curve Models. A Structural Equation Perspective. Hoboken: Wiley.

Bollen, Kenneth A. und J. Scott Long, Hrsg. (1993). Testing Structural Equation Models.

Newbury Park: Sage.

Boomsma, Anne (2000). „Reporting Analyses of Covariance Structures“. In: Structural Equation Modeling 7, S. 461–483.

Boomsma, Anne, Rick H. Hoyle und A.T. Panter (2012). „The Structural Equation Modeling Research Report“. In: Handbook of Structural Equation Modeling. Hrsg. von Rick Hoyle. New York: Guilford Press, S. 341–358.

Brown, Timothy A. (2006). Confirmatory Factor Analysis for Applied Research. London, New York: Guilford Press.

Browne, Michael W. und Robert Cudeck (1993). „Alternative Ways of Assessing Model Fit“. In: Testing Structural Equation Models. Hrsg. von Kenneth A. Bollen und J. Scott Long. Newbury Park: Sage, S. 136–162.

Byrne, Barbara M. (2012). „Choosing Structural Equation Modeling Computer Software. Snapshots of LISREL, EQS, Amos, and Mplus“. In: Handbook of Structural Equation Modeling. Hrsg. von Rick Hoyle. New York: Guilford Press, S. 307–324.

Fox, John et al. (2012). „Structural Equation Modeling in R with the sem and OpenMx Packages“. In: Handbook of Structural Equation Modeling. Hrsg. von Rick Hoyle. New York: Guilford Press, S. 325–340.

Graham, John W. und Donna L. Coffman (2012). „Structural Equation Modeling with Missing Data“. In: Handbook of Structural Equation Modeling. Hrsg. von Rick Hoyle. New York: Guilford Press, S. 277–295.

Haenlein, Michael und Andreas M. Kaplan (2004). „A Beginner's Guide to Partial Least Squares Analysis“. In: Understanding Statistics 3.4, S. 283–297.

Hancock, Gregory R. und Ralph O. Mueller, Hrsg. (2006). Structural Equation Modeling.A Second Course. Greenwich: IAP.

Ho, Moon-ho Ringo, Stephen Stark und Olexander Chernyshenko (2012). „Graphical Representation of Structural Equation Models Using Path Diagrams“. In: Handbook of Structural Equation Modeling. Hrsg. von Rick Hoyle. New York: Guilford Press, S. 43–55.

Hoyle, Rick, Hrsg. (2012). Handbook of Structural Equation Modeling. New York: Guilford Press.

Hoyle, Rick H. und Jennifer C. Isherwood (2013). „Reporting Results From Structural Equation Modeling Analyses in Archives of Scientific Psychology“. In: Archives of Scientific

Psychology 1.1, S. 14–22. DOI: 10.1037/arc0000004.

Hu, Li-Tze und Peter M. Bentler (1995). „Evaluating Model Fit“. In: Structural Equation Modeling. Concepts, Issues, and Applications. Hrsg. von Rick H. Hoyle. Thousand Oaks, London, New Delhi: Sage, S. 76–99.

Jöreskog, Karl und Dag Sörbom (1993). LISREL 8: Structural Equation Modeling with the SIMPLIS Command Language. Chicago: Scientific Software International.

Jöreskog, Karl G. (1990). „New Developments in LISREL: Analysis of Ordinal Variables Using Polychoric Correlations and Weighted Least Squares“. In: Quality and Quantity

24.4, S. 387–404. DOI: 10.1007/BF00152012.

Jöreskog, Karl G. (1994). „On the Estimation of Polychoric Correlations and Their Asymptotic Covariance Matrix“. In: Psychometrika 59.3, S. 381–389.

Kaplan, David (2009). Structural Equation Modeling. Foundations and Extensions. 2. Aufl.

Thousand Oaks: Sage.

Lee, Sik-Yum (2007). Handbook of Latent Variable and Related Methods. Bd. 1. Handbook of Computing and Statistics with Applications. Amsterdam: Elsevier.

Lei, Pui-Wa und Qiong Wu (2012). „Estimation in Structural Equation Modeling“. In: Handbook of Structural Equation Modeling. Hrsg. von Rick Hoyle. New York: Guilford Press, S. 164–180.

Little, Todd D. und David W. Slegers (2005). „Factor Analysis. Multiple Groups“. In: Encyclopedia of Statistics in Behavioral Science. Hrsg. von Brian S. Everitt und David C. Howell. Bd. 2. Chicester: John Wiley, S. 617–623.

Meulemann, Bart (2012). „When Are Item Intercept Differences Substantively Relevant in Measurement Invariance Testing?“ In: Methods, Theories, and Empirical Applications in the Social Sciences. Festschrift for Peter Schmid. Hrsg. von Samuel Salzborn, Eldad Davidov und Jost Reinecke. Wiesbaden: Springer VS, S. 97–104.

Muthèn, Bengt O. (1979). „A Structural Probit Model with Latent Variables“. In: Journal of the American Statistical Association 74, S. 807–811.

Muthèn, Bengt O. (2002). „Beyond SEM. General Latent Variable Modeling“. In: Behaviormetrika 29, S. 81–117.

Oberski, Daniel L. (2014). „Evaluating Sensitivity of Parameters of Interest to Measurement Invariance in Latent Variable Models“. In: Political Analysis 22.1, S. 45–60. DOI: 10. 1093/pan/mpt014.

Olsson, Ulf Henning et al. (2000). „The Performance of ML, GLS, and WLS Estimation in Structural Equation Modeling Under Conditions of Misspecification and Nonnormality“.

In: Structural Equation Modeling: A Multidisciplinary Journal 7.4, S. 557–595. DOI: 10. 1207/S15328007SEM0704_3.

Pearl, Judea (2012). „The Causal Foundations of Structural Equation Modeling“. In: Handbook of Structural Equation Modeling. Hrsg. von Rick Hoyle. New York: Guilford Press, S. 68–91.

Preacher, Kristopher J. et al. (2008). Latent Growth Curve Modeling. Thousand Oaks u. a.: Sage.

Rabe-Hesketh, Sophia und Anders Skrondal (2012a). Multilevel and Longitudinal Modeling Using Stata. 3. Aufl. Bd. 1 Continuous Responses. College Station: Stata Press.

Rabe-Hesketh, Sophia und Anders Skrondal (2012b). Multilevel and Longitudinal Modeling Using Stata. 3. Aufl. Bd. 2 Categorical Responses, Counts, and Survival. College Station: Stata Press.

Ray, R. L. (1980). „Path Analysis of Psychophysiological Data“. In: Psychophysiology 17, S. 401–407.

Reinecke, Jost (2012). Wachstumsmodelle. München und Mering: Rainer Hampp Verlag. Sharma, Subhash et al. (2005). „A Simulation Study to Investigate the Use of Cutoff Va-

lues for Assessing Model Fit in Covariance Structure Models“. In: Journal of Business Research 58.7, S. 935–943. DOI: 10.1016/j.jbusres.2003.10.007.

Skrondal, Anders und Sophia Rabe-Hesketh (2004). Generalized Latent Variable Modeling.

Boca Raton u.a.: Chapman & Hall.

Steiger, James H., Alexander Shapiro und Michael W. Browne (1985). „On the Multivariate Asymptotic Distribution of Sequential Chi-Square Statistics“. In: Psychometrika 50.3, S. 253–264.

Townes, Miles (2010). „Usage of Recursive in Political Science“. In: PS: Political Science

& Politics 43 (2), S. 259–261. DOI: 10.1017/S1049096510000090.