- 788 pages
- English
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Handbook of Developmental Research Methods
About This Book
Appropriate for use in developmental research methods or analysis of change courses, this is the first methods handbook specifically designed to meet the needs of those studying development. Leading developmental methodologists present cutting-edge analytic tools and describe how and when to use them, in accessible, nontechnical language. They also provide valuable guidance for strengthening developmental research with designs that anticipate potential sources of bias. Throughout the chapters, research examples demonstrate the procedures in action and give readers a better understanding of how to match research questions to developmental methods. The companion website ( www.guilford.com/laursen-materials ) supplies data and program syntax files for many of the chapter examples.
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Table of contents
- Cover
- Front Matter
- Contents
- Part I--Measurement and Design
- Chapter 1--Foundational Issues of Design and Measurement in Developmental Research
- Chapter 2--Causal Inference, Identification, and Plausibility
- Chapter 3--Accelerated Longitudinal Designs
- Chapter 4--Time-Scale-Dependent Longitudinal Designs
- Chapter 5--Event Frequency Measurement
- Chapter 6--The Impact of Scaling and Measurement Methods on Individual Differences in Growth
- Chapter 7--Investigating Factorial Invariance in Longitudinal Data
- Part II--Approaches to Data Collection
- Chapter 8--Foundational Issues in Longitudinal Data Collection
- Chapter 9--The Use of Large-Scale Data Sets for the Study of Developmental Science
- Chapter 10--Telemetrics and Online Data Collection
- Chapter 11--Collecting and Analyzing Longitudinal Diary Data
- Chapter 12--Retrospective Methods in Developmental Science
- Chapter 13--Peer Ratings
- Part III--Interindividual Longitudinal Analysis
- Chapter 14--Foundational Issues in Investigating Development as Interindividual Variation
- Chapter 15--Analysis of Experimental and Quasi-Experimental Data
- Chapter 16--Autoregressive and Cross-Lagged Panel Analysis for Longitudinal Data
- Chapter 17--Analyzing Change between Two or More Groups
- Chapter 18--Mediation Models for Developmental Data
- Part IV--Intraindividual Longitudinal Analysis
- Chapter 19--Foundational Issues in Intraindividual Longitudinal Analysis
- Chapter 20--Dynamic Factor Analysis and Control of Developmental Processes
- Chapter 21--P-Technique Factor Analysis
- Chapter 22--Hazard, Event History, and Survival Modeling
- Part V--Combining Interindividual and Intraindividual Longitudinal Analysis
- Chapter 23--Foundational Issues in the Contemporary Modeling of Longitudinal Trajectories
- Chapter 24--Growth Curve Modeling from a Structural Equation Modeling Perspective
- Chapter 25--Growth Curve Modeling from a Multilevel Model Perspective
- Chapter 26--Nonlinear Growth Modeling
- Chapter 27--Group-Based Trajectory Modeling in Developmental Science
- Chapter 28--Longitudinal Mixture Models and the Identification of Archetypes
- Chapter 29--Multilevel Structural Equation Modeling
- Part VI--Nonindependent Data Analysis
- Chapter 30--Foundational Issues in Nonindependent Data Analysis
- Chapter 31--Dyadic Data Analyses in a Developmental Context
- Chapter 32--Applying the Social Relations Model to Developmental Research
- Chapter 33--Analysis of Static Social Networks and Their Developmental Effects
- Chapter 34--Actor-Based Model for Network and Behavior Dynamics
- Part VII--Special Topics in Data Analysis
- Chapter 35--Configural Frequency Analysis in Developmental Research
- Chapter 36--Cluster Analysis and Latent Class Clustering Techniques
- Chapter 37--Meta-Analysis in Developmental Science
- Chapter 38--Evaluating GeneāEnvironment Interplay
- Chapter 39--Epidemic Models of the Onset of Social Activities
- Chapter 40--Dynamic Systems
- Chapter 41--Planned Missing Data Designs for Developmental Research
- Author Index
- Subject Index
- About the Editors
- Contributors