Recent Developments on Structural Equation Models

Theory and Applications

Häftad, Engelska, 2010

Av Kees van Montfort, Johan Oud, Albert Satorra, Kees Van Montfort, Kees van Montfort

709 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.

Produktinformation

Utgivningsdatum2010-12-05
Mått155 x 235 x 25 mm
Vikt580 g
FormatHäftad
SpråkEngelska
SerieMathematical Modelling: Theory and Applications
Antal sidor358
FörlagSpringer
ISBN9789048165490

Tillhör följande kategorier

Matematisk statistik inom Naturvetenskap och teknik
Företagsekonomi inom Ekonomi och ledarskap
Nationalekonomi inom Ekonomi och ledarskap
Psykologi inom Psykologi och pedagogik
Mikroekonomi inom Ekonomi och ledarskap

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.

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