Intensive Longitudinal Methods An Introduction to Diary and Experience Sampling Research

ISBN-10: 146250678X

ISBN-13: 9781462506781

Edition: 2013

List price: $52.00
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Description: A complete, practical guide to planning and executing an intensive longitudinal study, this book provides the tools for understanding within-subject social, psychological, and physiological processes in everyday contexts. Intensive longitudinal studies involve many repeated measurements taken on individuals, dyads, or groups, and include diary and experience sampling studies. A range of engaging, worked-through research examples with datasets are featured. Coverage includes how to: select the best intensive longitudinal design for a particular research question, model within-subject change processes for continuous and categorical outcomes, distinguish within-subject from between-subjects effects, assess the reliability of within-subject changes, assure sufficient statistical power, and more. Several end-of-chapter write-ups illustrate effective ways to present study findings for publication. Datasets and output for the examples are available for readers' use at the companion website. The website also includes HLM, MLwin, and R code as an alternative to the SPSS, SAS, and Mplus code presented in the book.

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Book details

List price: $52.00
Copyright year: 2013
Publisher: Guilford Publications
Publication date: 2/14/2013
Binding: Hardcover
Pages: 256
Size: 6.25" wide x 9.75" long x 0.75" tall
Weight: 1.320
Language: English

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