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Contributors Preface PART 1: THEORETICAL DEVELOPMENTS
1. Statistical Power in PATH Models for Small Sample Sizes, Ab Mooijaart and Kees van Montfort
2. SEM State Space Modeling of Panel Data in Discrete and continuous Time and its Relationship to Traditional State Space Modeling, Johan Oud
3. Thurstone’s Case V Model: a Structural Equations Modeling Perspective, Albert Maydeu-Olivares
4. Evaluating Uncertainty of Model Acceptability in Empirical Applications: A Replacement Approach, Luigi Lombardi, Massimiliano Pastore and Massimo Nucci
5. Improved Analytic Interval Estimation of Scale Reliability, Tenko Raykov and Spiridon Penev
6. A Component Analysis Approach towards Multisubject Multivariate Longitudinal Data Analysis, Marieke Timmerman
7. Least Squares Optimal Scaling for Partially Observed Linear Systems, Jan De Leeuw
8. Multilevel Structural Equation Models: the Limited Information Approach and the Multivariate Multilevel Approach, Joop Hox and Cora Maas
9. Latent Differential Equation Modeling with Multivariate Multi Occasion Indicators, Steve Boker, Michael Neale and Joseph Rausch PART 2: APPLICATIONS
10. Varieties of Causal Modeling: How Optimal Research Design Varies by Explanatory Strategy, Keith Markus
11. Is it Possible to Feel Good and Bad at the Same Time? New Evidence on the Bipolarity of Mood–State Dimensions, Rolf Steyer and Katrin Riedl
12. Development of a Short Form of the Eysenck Personality Profiler via Structural Equation Modeling, K.V. Petrides, Chris Jackson, Adrian Furnham and Stephen Levine
13. Methodological Issues in the Application of the Latent Growth Curve Model, Reinoud Stoel, Godfried van den Wittenboer and Joop Hox
14. Modeling Longitudinal Data of an Intervention Study on Travel Model Choice: Combining Latent Growth Curves and Autoregressive Models, Eldad Davidov, Peter Schmidt and Sebastian Bamberg
15. Methods for Dynamic Change Hypotheses, John Mc Ardle and Fumiaki Hamagami
16. Modeling Latent Trait-Change, Rolf Steyer, Sindy Krambeer and Wolfgang Hannöver
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Add Recent Developments on Structural Equation Models: Theory and Applications, After Karl Jöreskog's first presentation in 1970, Structural Equation Modelling or SEM has become a main statistical tool in many fields of science. It is the standard approach of factor analytic and causal modelling in such diverse fields as sociology, e, Recent Developments on Structural Equation Models: Theory and Applications to the inventory that you are selling on WonderClubX
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Add Recent Developments on Structural Equation Models: Theory and Applications, After Karl Jöreskog's first presentation in 1970, Structural Equation Modelling or SEM has become a main statistical tool in many fields of science. It is the standard approach of factor analytic and causal modelling in such diverse fields as sociology, e, Recent Developments on Structural Equation Models: Theory and Applications to your collection on WonderClub |