Barbara M Byrne

Structural Equation Modeling with Mplus

Basic Concepts, Applications, and Programming

• Gebundenes Buch

Produktbeschreibung

First Published in 2012. Routledge is an imprint of Taylor & Francis, an informa company.

Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• 1. Auflage
• Seitenzahl: 432
• Erscheinungstermin: 28. Juli 2011
• Englisch
• Abmessung: 229mm x 152mm x 24mm
• Gewicht: 744g
• ISBN-13: 9780805859867
• ISBN-10: 0805859861
• Artikelnr.: 54013390

Autorenporträt

Barbara M. Byrne is Professor Emeritus in the School of Psychology, University of Ottawa, Canada. An internationally recognized expert in the area of SEM, Dr. Byrne's research focuses on construct validity issues as they relate to theoretical constructs and measuring instruments. She is the author of　7 popular introductory books on SEM　and has conducted over 100 SEM workshops at conferences, universities, and test publishers around the globe. In addition to the publication of over 95 book chapters and scholarly journal articles, most of which have addressed SEM application issues, she is the author of an important reference book, Measuring Self-concept Across the Lifespan: Issues and Instrumentation. Dr. Byrne is the recipient of three Distinguished Teaching Awards presented by the Canadian Psychological Association, the American Psychological Association (APA), and the APA, Division 5 (Jacob Cohen Award). She is a Fellow in two APA Divisions, is a Foundation member on the International Board of the SELF Research Centre, University of Western Sydney, Australia, and is an elected member of the Society of Multivariate Experimental Psychology.

Inhaltsangabe

Part 1: Introduction. 1. Structural Equation Models: The Basics. 2. Using
the Mplus Program. Part 2: Single-Group Analyses. Confirmatory Factor
Analytic Models 3. Testing the Factorial Validity of a Theoretical
Construct (1st-order CFA Model). 4. Testing the Factorial Validity of
Scores from a Measuring Instrument (1st-order CFA Model). 5. Testing the
Validity of Scores from a Measuring Instrument (2nd-order CFA Model). The
Full Latent Variable Model 6. Testing the Validity of a Causal Structure.
Part 3: Multiple-Group Analyses. Confirmatory Factor Analytic Models 7.
Testing for the Factorial Equivalence of a Measuring Instrument (Analysis
of Covariance Structures). 8. Testing for the Equivalence of Latent Factor
Means (Analysis of Mean and Covariance Structures). The Full Latent
Variable Model 9. Testing for the Equivalence of a Causal Structure
(Analysis of Covariance Structures). Part 4: Other Important Topics. 10.
Testing Evidence of Construct Validity: The Multitrait-multimethod Model.
11. Testing Change Over Time: The Latent Growth Curve Model. 12. Testing
Within- and Between-level Variability: The Multilevel Model.