Latent Variable and Latent Structure Models (eBook, PDF)

Redaktion: Marcoulides, George A.; Moustaki, Irini

• Format: PDF

Produktbeschreibung

The purpose of this edited volume is to introduce the latest issues and developments in latent variable and latent structure models.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 296
• Erscheinungstermin: 4. April 2014
• Englisch
• ISBN-13: 9781135640668
• Artikelnr.: 42976620

Autorenporträt

George A. Marcoulides, Irini Moustaki

Inhaltsangabe

Contents: Preface. D.J. Bartholomew
Old and New Approaches to Latent Variable Modelling. I. Moustaki
C. O'Muircheartaigh
Locating "Don't Know
" "No Answer" and Middle Alternatives on an Attitude Scale: A Latent Variable Approach. L.A. van der Ark
B.T. Hemker
K. Sijtsma
Hierarchically Related Nonparametric IRT Models
and Practical Data Analysis Methods. P. Tzamourani
M. Knott
Fully Semiparametric Estimation of the Two-Parameter Latent Trait Model for Binary Data. P. Rivera
A. Satorra
Analyzing Group Differences: A Comparison of SEM Approaches. R.D. Wiggins
A. Sacker
Strategies for Handling Missing Data in SEM: A User's Perspective. T. Raykov
S. Penev
Exploring Structural Equation Model Misspecifications Via Latent Individual Residuals. J-Q. Shi
S-Y. Lee
B-C. Wei
On Confidence Regions of SEM Models. P. Filzmoser
Robust Factor Analysis: Methods and Applications. M. Croon
Using Predicted Latent Scores in General Latent Structure Models. H. Goldstein
W. Browne
Multilevel Factor Analysis Modelling Using Markov Chain Monte Carlo Estimation. J-P. Fox
C.A.W. Glas
Modelling Measurement Error in Structural Multilevel Models.