Recent Developments on Structural Equation Models: Theory and Applications

Front Cover
Kees van Montfort, Johan Oud, Albert Satorra
Springer Science & Business Media, Mar 31, 2004 - Psychology - 358 pages
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, education, psychology, economics, management and medical sciences. In addition to an extension of its application area, Structural Equation Modelling also features a continual renewal and extension of its theoretical background. The sixteen contributions to this book, written by experts from many countries, present important new developments and interesting applications in Structural Equation Modelling. The book addresses methodologists and statisticians professionally dealing with Structural Equation Modelling to enhance their knowledge of the type of models covered and the technical problems involved in their formulation. In addition, the book offers applied researchers new ideas about the use of Structural Equation Modeling in solving their problems. Finally, methodologists, mathematicians and applied researchers alike are addressed, who simply want to update their knowledge of recent approaches in data analysis and mathematical modelling.
 

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

SEM State Space Modeling of Panel Data in Discrete
12
a Structural Equations Modeling
41
Evaluating Uncertainty of Model Acceptability in Empirical
69
Improved Analytic Interval Estimation of Scale Reliability
83
A Component Analysis Approach towards Multisubject
94
Least Squares Optimal Scaling for Partially Observed Linear
116
the Limited Information
135
Latent Differential Equation Modeling with Multivariate Multi
150
How Optimal Research Design
175
Is it Possible to Feel Good and Bad at the Same Time?
197
Development of a Short Form of the Eysenck Personality Profiler
221
Methodological Issues in the Application of the Latent Growth
241
Modeling Longitudinal Data of an Intervention Study on Travel
262
Methods for Dynamic Change Hypotheses
295
Modeling Latent TraitChange
357
Copyright

Other editions - View all

Common terms and phrases

Bibliographic information