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| Introduction to Intensive Longitudinal Methods | |
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| What Are Intensive Longitudinal Methods? | |
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| Applications of Intensive Longitudinal Methods | |
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| Why Use Intensive Longitudinal Methods? | |
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| Goals for This Book and Intended Audience | |
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| Organization of This Book | |
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| Recommended Readings | |
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| Types of Intensive Longitudinal Designs | |
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| Strengths of Intensive Longitudinal Designs | |
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| Types of Research Questions | |
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| Types of Designs and Prototypical Examples | |
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| Limitations of Intensive Longitudinal Designs | |
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| Which Intensive Longitudinal Design Is Best for You? | |
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| Chapter Summary | |
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| Recommended Readings | |
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| Fundamentals of Intensive Longitudinal Data | |
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| An Example Dataset | |
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| Between-Subjects and Within-Subjects Levels of Analysis | |
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| Allowing for Between-Subjects Heterogeneity: Random Effects | |
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| Taking Account of Time | |
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| How Many Independent Units Are There in Intensive Longitudinal Datasets? | |
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| Choosing an Appropriate Zero Point for X | |
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| Chapter Summary | |
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| Recommended Readings | |
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| Modeling the Time Course of Continuous Outcomes | |
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| The Time Course Dataset | |
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| An Application of Linear Growth Curve Analysis | |
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| Example Write-Up of Time Course Data | |
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| Chapter Summary | |
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| Recommended Readings | |
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| Appendix to Chapter 4 | |
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| Modeling the Within-Subject Causal Process | |
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| Conceptualizing a Within-Subject Causal Process | |
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| Example Causal Process Dataset | |
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| Multilevel Causal Model Linking Daily Conflict to Intimacy | |
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| Modeling a Process with Missing Repeated Measurements | |
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| When the Intervals between Measurements Are Unequal | |
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| Example Write-Up of Causal Process Data | |
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| Chapter Summary | |
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| Recommended Readings | |
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| Appendix to Chapter 5 | |
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| Modeling Categorical Outcomes | |
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| Exploring the Categorical Outcomes Dataset | |
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| A Longitudinal Multilevel Model Linking Morning Anger to the Incidence of Daily Conflict in Couples | |
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| Implementation in SAS PROC GLIMMIX | |
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| Implementation in IBM SPSS GENLINMIXED | |
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| Implementation in Mplus | |
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| Chapter Summary | |
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| Recommended Readings | |
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| Appendix to Chapter 6 | |
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| Psychometrics of Intensive Longitudinal Measures of Emotional States | |
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| Basic Ideas about Random Measurement Error | |
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| Making Use of Generalizability Theory | |
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| Making Use of Multilevel Confirmatory Factor Analysis | |
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| Chapter Summary | |
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| Recommended Readings | |
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| Design and Analysis of Intensive Longitudinal Studies of Distinguishable Dyads | |
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| Motivation for Studying the Everyday Lives of Dyads | |
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| Methodological and Design Issues in Intensive Longitudinal Studies of Distinguishable Dyads | |
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| The Multilevel Model for Intensive Longitudinal Data from Distinguishable Dyads | |
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| Example Write-Up of Dyadic Process Study Data | |
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| Chapter Summary | |
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| Recommended Readings | |
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| Appendix to Chapter 8 | |
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| Within-Subject Mediation Analysis | |
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| Single-Level Mediation to Multilevel Mediation | |
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| Empirical Example | |
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| Implementing Within-Subject Mediation in Statistical Software | |
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| Interpretation of Results | |
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| Chapter Summary | |
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| Recommended Readings | |
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| Statistical Power for Intensive Longitudinal Designs | |
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| Approaches to Power | |
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| Power in Multilevel Models | |
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| Power for the Time Course Example | |
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| Power for the Causal Process Example | |
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| Power for the Categorical Outcomes Example | |
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| Power for the Dyadic Process Example | |
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| Power for the Within-Subject Mediation Example | |
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| Chapter Summary | |
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| Recommended Readings | |
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| References | |
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| Author Index | |
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| Subject Index | |
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| About the Authors | |