Anmerkungen:
Description based upon print version of record
Beschreibung:
Half Title Page; Editorial Advisory Board; Title Page; Copyright Page; Preface; Acknowledgments; Contents; Part I: Background; Chapter 1: Introduction and Overview; Chapter 2: Key Advances in the History of Structural Equation Modeling; Chapter 3: Graphical Representation of Structural Equation Models Using Path Diagrams; Chapter 4: Latent Variables in Structural Equation Modeling; Chapter 5: The Causal Foundations of Structural Equation Modeling; Chapter 6: Simulation Methods in Structural Equation Modeling; Part II: Fundamentals; Chapter 7: Assumptions in Structural Equation Modeling
Chapter 8: Model Specification in Structural Equation ModelingChapter 9: Identification: A Nontechnical Discussion of a Technical Issue; Chapter 10: Estimation in Structural Equation Modeling; Chapter 11: Power Analysis for Tests of Structural Equation Models; Chapter 12: Categorical Data in the Structural Equation Modeling Framework; Chapter 13: Model Fit and Model Selectionin Structural Equation Modeling; Chapter 14: Model Modification in Structural Equation Modeling; Chapter 15: Equivalent Models: Concepts, Problems, Alternatives; Part III: Implementation
Chapter 16: Preparing Data for Structural Equation Modeling: Doing Your HomeworkChapter 17: Structural Equation Modeling with Missing Data; Chapter 18: Bootstrapping Standard Errors and Data-Model Fit Statistics in Structural Equation Modeling; Chapter 19: Choosing Structural Equation Modeling Computer Software: Snapshots of LISREL, EQS, Amos, and Mplus; Chapter 20: Structural Equation Modeling in R with the sem and OpenMx Packages; Chapter 21: The Structural Equation Modeling Research Report; Part IV: Basic Applications; Chapter 22: Confirmatory Factor Analysis
Chapter 23: Investigating Measurement Invariance Using Confirmatory Factor AnalysisChapter 24: A Flexible Structural Equation Modeling Approach for Analyzing Means; Chapter 25: Mediation/Indirect Effects in Structural Equation Modeling; Chapter 26: Structural Equation Models of Latent Interaction; Chapter 27: Autoregressive Longitudinal Models; Chapter 28: Scale Construction and Development Using Structural Equation Modeling; Part V: Advanced Applications; Chapter 29: Measurement Models for Ordered-Categorical Indicators; Chapter 30: Multilevel Structural Equation Modeling
Chapter 31: An Overview of Growth Mixture Modeling: A Simple Nonlinear Application in OpenMxChapter 32: Latent Curve Modeling of Longitudinal Growth Data; Chapter 33: Dynamic Factor Modelsfor Longitudinally Intensive Data: Description and Estimation via Parallel Factor Models of Cholesky Decomposition; Chapter 34: Latent Trait-State Models; Chapter 35: Longitudinal Structural Models for Assessing Dynamics in Dyadic Interactions; Chapter 36: Structural Equation Modeling in Genetics; Chapter 37: Structural Equation Models of Imaging Data; Chapter 38: Bayesian Structural Equation Modeling
Chapter 39: Spatial Structural Equation Modeling
The first comprehensive structural equation modeling (SEM) handbook, this accessible volume presents both the mechanics of SEM and specific SEM strategies and applications. The editor, contributors, and editorial advisory board are leading methodologists who have organized the book to move from simpler material to more statistically complex modeling approaches. Sections cover the foundations of SEM; statistical underpinnings, from assumptions to model modifications; steps in implementation, from data preparation through writing the SEM report; and basic and advanced applications, including ne