Recent Developments on Structural Equation Models

Theory and Applications

Häftad, Engelska, 2010

521 kr

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After Karl Jöreskog's first presentation in 1970, Structural Equation Modelling or SEM has become a main statistical tool in many fields of science.

1: Theoretical Developments.- 1. Statistical Power in PATH Models for Small Sample Sizes.- 2. SEM State Space Modeling of Panel Data in Discrete and continuous Time and its Relationship to Traditional State Space Modeling.- 3. Thurstone’s Case V Model: a Structural Equations Modeling Perspective.- 4. Evaluating Uncertainty of Model Acceptability in Empirical Applications: A Replacement Approach.- 5. Improved Analytic Interval Estimation of Scale Reliability.- 6. A Component Analysis Approach towards Multisubject Multivariate Longitudinal Data Analysis.- 7. Least Squares Optimal Scaling for Partially Observed Linear Systems.- 8. Multilevel Structural Equation Models: the Limited Information Approach and the Multivariate Multilevel Approach.- 9. Latent Differential Equation Modeling with Multivariate MultiOccasion Indicators.- 2: Applications.- 10. Varieties of Causal Modeling: How Optimal Research Design Varies by Explanatory Strategy.- 11. Is it Possible to Feel Good and Bad at the Same Time? New Evidence on the Bipolarity of Mood-State Dimensions.- 12. Development of a Short Form of the Eysenck Personality Profiler via Structural Equation Modeling.- 13. Methodological Issues in the Application of the Latent Growth Curve Model.- 14. Modeling Longitudinal Data of an Intervention Study on Travel Model Choice: Combining Latent Growth Curves and Autoregressive Models.- 15. Methods for Dynamic Change Hypotheses.- 16. Modeling Latent Trait-Change.