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Produktbild: Longitudinal Data Analysis Using Structural Equation Models

Longitudinal Data Analysis Using Structural Equation Models

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

16.06.2014

Verlag

American Psychological Association

Seitenzahl

426

Maße (L/B/H)

26,1/18,2/2,7 cm

Gewicht

937 g

Sprache

Englisch

ISBN

978-1-4338-1715-1

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

16.06.2014

Verlag

American Psychological Association

Seitenzahl

426

Maße (L/B/H)

26,1/18,2/2,7 cm

Gewicht

937 g

Sprache

Englisch

ISBN

978-1-4338-1715-1

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Longitudinal Data Analysis Using Structural Equation Models

  • Preface
    Overview
    Part I: Foundations
    Chapter : Background and Goals of Longitudinal Research
    Chapter 2: Basics of Structural Equation Modeling
    Chapter 3: Some Technical Details on Structural Equation Modeling
    Chapter 4: Using the Simplified Reticular Action Model Notation
    Chapter 5: Benefits and Problems Using Structural Equation Modeling in Longitudinal Research
    Part II: Longitudinal SEM for the Direct Identification of Intraindividual Changes
    Chapter : Alternative Definitions of Individual Changes
    Chapter 7: Analyses Based on Latent Curve Models
    Chapter 8: Analyses Based on Time-Series Regression Models
    Chapter 9: Analyses Based on Latent Change Score Models
    Chapter : Analyses Based on Advanced Latent Change Score Models
    Part III: Longitudinal SEM for Interindividual Differences in Intraindividual Changes
    Chapter : Studying Interindividual Differences in Intraindividual Changes
    Chapter 2: Repeated Measures Analysis of Variance as a Structural Model
    Chapter 3: Multilevel Structural Equation Modeling Approaches to Group Differences
    Chapter 4: Multiple Group Structural Equation Modeling Approaches to Group Differences
    Chapter 5: Incomplete Data With Multiple Group Modeling of Changes
    Part IV: Longitudinal SEM for the Interrelationships in Growth
    Chapter : Considering Common Factors/Latent Variables in Structural Models
    Chapter 7: Considering Factorial Invariance in Longitudinal Structural Equation Modeling
    Chapter 8: Alternative Common Factors With Multiple Longitudinal Observations
    Chapter 9: More Alternative Factorial Solutions for Longitudinal Data
    Chapter 2 : Extensions to Longitudinal Categorical Factors
    Part V: Longitudinal SEM for Causes (Determinants) of Intraindividual Changes
    Chapter 2 : Analyses Based on Cross-Lagged Regression and Changes
    Chapter 22: Analyses Based on Cross-Lagged Regression in Changes of Factors
    Chapter 23: Current Models for Multiple Longitudinal Outcome Scores
    Chapter 24: The Bivariate Latent Change Score Model for Multiple Occasions
    Chapter 25: Plotting Bivariate Latent Change Score Results
    Part VI: Longitudinal SEM for Interindividual Differences in Causes (Determinants) of Intraindividual Changes
    Chapter 2 : Dynamic Processes Over Groups
    Chapter 27: Dynamic Influences Over Groups
    Chapter 28: Applying a Bivariate Change Model With Multiple Groups
    Chapter 29: Notes on the Inclusion of Randomization in Longitudinal Studies
    Chapter 3 : The Popular Repeated Measures Analysis of Variance
    Part VII: Summary and Discussion
    Chapter 3 : Contemporary Data Analyses Based on Planned Incompleteness
    Chapter 32: Factor Invariance in Longitudinal Research
    Chapter 33: Variance Components for Longitudinal Factor Models
    Chapter 34: Models for Intensively Repeated Measures
    Chapter 35: Coda: The Future Is Yours!
    References
    Index
    About the Authors