Longitudinal structural equation modeling

著者

• Little, Todd D.
• Card, Noel A.

書誌事項

Longitudinal structural equation modeling

Todd D. Little ; foreword by Noel A. Card

（Methodology in the social sciences）

Guilford Press, c2013

• : hardcover

注記

Includes bibliographical references (p. 355-366) and indexes

内容説明・目次

内容説明

Featuring actual datasets as illustrative examples, this book reveals numerous ways to apply structural equation modeling (SEM) to any repeated-measures study. Initial chapters lay the groundwork for modeling a longitudinal change process, from measurement, design, and specification issues to model evaluation and interpretation. Covering both big-picture ideas and technical how-to-do-it details, the author deftly walks through when and how to use longitudinal confirmatory factor analysis, longitudinal panel models (including the multiple-group case), multilevel models, growth curve models, and complex factor models, as well as models for mediation and moderation. User-friendly features include equation boxes that clearly explain the elements in every equation, end-of-chapter glossaries, and annotated suggestions for further reading. The companion website (www.guilford.com/little-materials) provides datasets for all of the examples--which include studies of bullying, adolescent students' emotions, and healthy aging--with syntax and output from LISREL, Mplus, and R (lavaan).

目次

PROLOGUE * A personal introduction and what to expect How statistics came into my life My approach to the book Key features of the book Overview of the book * Datasets and measures used My dataset with the Inventory Felt Energy and Emotion in Life (I FEEL) measure The I FEEL Gallagher and Johnson's MIDUS example Neuroticism Negative affect Dorothy Espelage's bullying and victimization examples Peer victimization Substance use Family conflict Family closeness Bullying Homophobic teasing * Overdue gratitude * Prophylactic apologies 1. OVERVIEW AND SEM FOUNDATIONS * An overview of the conceptual foundations of SEM Concepts, constructs, and indicators From concepts to constructs to indicators to good models * Sources of variance in measurement Classical test theorem Expanding classical test theorem * Characteristics of indicators and constructs Types of indicators and constructs Categorical versus metrical indicators and constructs Types of correlation coefficients that can be modeled * A simple taxonomy of indicators and their roles * Rescaling variables * Parceling * What changes and how? * Some advice for SEM programming * Philosophical issues and how I approach research * Summary * Key terms and concepts introduced in this chapter * Recommended readings 2. DESIGN ISSUES IN LONGITUDINAL STUDIES * Timing of measurements and conceptualizing time Cross-sectional design Single-cohort longitudinal design Cross-sequential design Cohort-sequential design Time-sequential design Other validity concerns Temporal design Lags within the interval of measurement Episodic and Experiential Time * Missing data imputation and planned missing designs Missing data mechanisms Recommendations and caveats Planned missing data designs in longitudinal research * Modeling developmental processes in context * Summary * Key terms and concepts introduced in this chapter * Recommended readings 3. THE MEASUREMENT MODEL * Drawing and labeling conventions * Defining the parameters of a construct * Scale setting * Identification * Adding means to the model: Scale setting and identification with means * Adding a longitudinal component to the CFA model * Adding phantom constructs to the CFA model * Summary * Key terms and concepts introduced in this chapter * Recommended Readings 4. MODEL FIT, SAMPLE SIZE, AND POWER * Model fit and types of fit indices Statistical rationale Modeling rationale The longitudinal null model Summary and cautions * Sample Size * Power * Summary * Key terms and concepts introduced in this chapter * Recommended readings 5. THE LONGITUDINAL CFA MODEL * Factorial invariance * A small (nearly perfect) data example Configural factorial invariance Weak factorial invariance Strong factorial invariance Evaluating invariance constraints Model modification Partial invariance * A larger example followed by tests of the latent construct relations Testing the latent construct parameters * An application of a longitudinal SEM to a repeated-measures experiment * Summary * Key terms and concepts introduced in this chapter * Recommended readings 6. SPECIFYING AND INTERPRETING A LONGITUDINAL PANEL MODEL * Basics of a panel model * The basic simplex change process * Building a panel model Covariate/control variables Building the panel model of positive and negative affect * Illustrative examples of panel models A simplex model of cognitive development Two simplex models of non-longitudinal data A panel model of bullying and homophobic teasing * Summary * Key terms and concepts introduced in this chapter * Recommended readings 7. MULTIPLE-GROUP MODELS * Multiple-group longitudinal SEM Step 1: Estimate missing data and evaluate the descriptive statistics Step 2: Perform any supplemental analysis to rule out potential confounds Step 3: Fit an appropriate multiple-group longitudinal null model Step 4: Fit the configurally invariant model across time and groups Step 5: Test for weak factorial (loadings) invariance Step 6: Test for strong factorial invariance Step 7: Test for mean-level differences in the latent constructs Step 8: Test for the homogeneity of the variance-covariance matrix among the latent constructs Step 9: Test the longitudinal SEM model in each group * A dynamic p-technique multiple-group longitudinal model * Summary * Key terms and concepts introduced in this chapter * Recommended readings 8. MULTILEVEL GROWTH CURVES AND SEM * Longitudinal growth curve model * Multivariate growth curve models * Multilevel longitudinal model * Summary * Key terms and concepts introduced in this chapter * Recommended readings 9. MEDIATION AND MODERATION * Making the distinction between mediators and moderators Cross-sectional mediation Half-longitudinal mediation Full longitudinal mediation * Moderation * Summary * Key terms and concepts introduced in this chapter * Recommended readings 10. JAMBALAYA: COMPLEX CONSTRUCT REPRESENTATIONS AND DECOMPOSITIONS * Multitrait-multimethod models * Pseudo-MTMM models * Bifactor and higher order factor models * Contrasting different variance decompositions * Digestif * Key terms and concepts introduced in this chapter * Recommended readings

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詳細情報

• NII書誌ID(NCID): BB12373232
• ISBN:
  • 9781462510160
• LCCN: 2013002924
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: New York
• ページ数/冊数: xxii, 386 p.
• 大きさ: 27 cm
• 分類:
  • LCC : HA29
  • DC23 : 001.4/33
• 件名:
  • LCSH : Social sciences -- Statistical methods
  • LCSH : Longitudinal method
• 親書誌ID:
  • BA3787031X