Intensive Longitudinal Methods An Introduction to Diary and Experience Sampling Research Niall Bolger and Jean-Philippe Laurenceau
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February 14, 2013
ISBN 9781462506781
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256 Pages
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February 14, 2013
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Read the Series Editor’s Note by founding editor David A. Kenny
1. Introduction to Intensive Longitudinal Methods

1.1 What Are Intensive Longitudinal Methods?

1.2 Applications of Intensive Longitudinal Methods

1.3 Why Use Intensive Longitudinal Methods?

1.4 Goals for This Book and Intended Audience

1.5 Organization of This Book

1.6 Recommended Readings

2. Types of Intensive Longitudinal Designs

2.1 Chapter Overview

2.2 Strengths of Intensive Longitudinal Designs

2.3 Types of Research Questions

2.4 Types of Designs and Prototypical Examples

2.5 Limitations of Intensive Longitudinal Designs

2.6 Which Intensive Longitudinal Design Is Best for You?

2.7 Chapter Summary

2.8 Recommended Readings

3. Fundamentals of Intensive Longitudinal Data

3.1 Chapter Overview

3.2 An Example Dataset

3.3 Between-Subjects and Within-Subjects Levels of Analysis

3.4 Allowing for Between-Subjects Heterogeneity: Random Effects

3.5 Taking Account of Time

3.6 How Many Independent Units Are There in Intensive Longitudinal Datasets?

3.7 Choosing an Appropriate Zero Point For X

3.8 Chapter Summary

3.9 Recommended Readings

4. Modeling the Time Course of Continuous Outcomes

4.1 Chapter Overview

4.2 The Example Intervention Dataset

4.3 An Application of Linear Growth Curve Analysis

4.4 Example Write-Up of Intervention Study Data

4.5 Chapter Summary

4.6 Recommended Readings

5. Modeling the Within-Subject Causal Process

5.1 Chapter Overview

5.2 Conceptualizing a Within-Subject Causal Process

5.3 Example Daily Conflict and Intimacy Dataset

5.4 Multilevel Causal Model Linking Daily Conflict and Intimacy

5.5 Modeling a Process with Missing Repeated Measures Data

5.6 When the Intervals between Measurements Are Unequal

5.7 Example Write-Up of Daily Conflict Study Data

5.8 Chapter Summary

5.9 Recommended Readings

6. Modeling Categorical Outcomes

6.1 Chapter Overview

6.2 Exploring the Example Dataset

6.3 A Longitudinal Multilevel Model Linking Morning Anger to the Incidence of Daily Conflict in Couples

6.4 Implementation in SAS PROC GLIMMIX

6.5 Implementation in IBM SPSS GENLINMIXED

6.6 Implementation in Mplus

6.7 Chapter Summary

6.8 Recommended Readings

7. Psychometrics of Intensive Longitudinal Measures of Emotional States

7.1 Chapter Overview

7.2 Basic Ideas about Random Measurement Error

7.3 Making Use of Generalizability Theory

7.4 Making Use of Multilevel Confirmatory Factor Analysis

7.5 Chapter Summary

7.6 Recommended Readings

8. Design and Analysis of Intensive Longitudinal Studies of Distinguishable Dyads

8.1 Chapter Overview

8.2 Motivation for Studying the Everyday Lives of Dyads

8.3 Methodological and Design Issues in Intensive Longitudinal Studies of Distinguishable Dyads

8.4 The Multilevel Model for Intensive Longitudinal Data from Distinguishable Dyads

8.5 Example Write-Up of Dyadic Study Data

8.6 Chapter Summary

8.7 Recommended Readings

9. Within-Subject Mediation Analysis

9.1 Chapter Overview

9.2 Single-Level Mediation to Multilevel Mediation

9.3 Empirical Example

9.4 Implementing Within-Subject Mediation in Statistical Software

9.5 Interpretation of Results

9.6 Chapter Summary

9.7 Recommended Readings

10. Statistical Power for Intensive Longitudinal Designs

10.1 Chapter Overview

10.2 Approaches to Power

10.3 Power in Multilevel Models

10.4 Power for the Marital Therapy and Intimacy Example

10.5 Power for the Daily Conflicts and Intimacy Example

10.6 Power Analysis for the Daily Conflict Categorical Outcomes Example

10.7 Power for the Dyadic Process Example

10.8 Power for the Within-Subject Multilevel Mediation Example

10.9 Chapter Summary

10.10 Recommended Readings

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