Description
Presents cutting-edge research methods in developmental science
The Handbook of Research Methods in Developmental Science delivers a fully revised and expanded exploration of the latest methodologies in human development research. Twenty-four entirely new chapters by renowned experts introduce innovative approaches that reflect the dynamic evolution of developmental science methodologies. Part of the Blackwell Handbooks of Research Methods in Psychology series, this authoritative resource is indispensable for those seeking to apply state-of-the-art methods to the study of human development.
The second edition of the Handbook builds upon the strengths of its predecessor while incorporating significant updates to address emerging research challenges. It offers a comprehensive review of traditional and contemporary developmental research designs, including cross-sectional, longitudinal, and quasi-experimental methods, as well as advanced topics such as the Multiphasic Optimization Strategy (MOST) framework, time-varying effect modeling, and integrative data analysis. Additionally, the authors present fresh insights into causal inference, observational methods, and intervention research, providing a more nuanced understanding of how developmental scientists can study change over time.
Capturing the latest theoretical and technological advancements in the discipline, the Handbook of Research Methods in Developmental Science:
- Features a multidisciplinary approach, integrating perspectives from psychology, human development, and family science
- Addresses challenges in developmental intervention research, including implementation science and adaptive intervention design
- Offers practical guidance on participant recruitment, panel maintenance, and best practices for obtaining reliable developmental data
- Includes real-world examples and case studies demonstrating the application of various research methods
The Handbook of Research Methods in Developmental Science, Second Edition, is an essential resource for graduate students, researchers, and professionals in developmental science, psychology, and human development. It is particularly relevant for courses in research methods, developmental psychology, and intervention science within psychology, education, and social sciences degree programs.
Table of Contents
Notes on Editors and Contributors
Preface
I. DEVELOPMENTAL DESIGNS, SAMPLING, AND CAUSAL INFERENCE
1. Chapter 1. Cross-sectional, longitudinal, and retrospective designs: General utility and threats to validity
Ekjyot K. Saini and Douglas M. Teti
2. Chapter 2. Experimental Design in Developmental Science
Robert Hepach
3. Chapter 3. Strengthening Causal Inference using Sibling Designs
Gabriel L. Schlomer, Olivia C. Robertson, and Kristine Marceau
4. Chapter 4. Quasi-experimental designs for causal inference: Addressing threats to validity from a graphical models perspective
Patrick Sheehan, Muwon Kwon, and Peter Steiner
5. Chapter 5. Measurement Burst Designs in Developmental Science
Daisy Zavala, Giselle Ferguson, Giancarlo Pasquini, and Stacey B. Scott
6. Chapter 6. Obtaining and keeping your sample: Participant recruitment & panel maintenance
Carina Cornesse and Bella Struminskaya
7. Chapter 7. In the quest for veracity all validities are important: A demonstration of the importance of sampling for assessing the association between loneliness and cognitive function
Ashton M. Verdery
II. CONSTRUCT MEASUREMENT IN DEVELOPMENTAL AND FAMILY SCIENCE
8. Chapter 8. Conceptualizing and Measuring the Family Context
Gregory M. Fosco and Devin Malloy McCauley
9. Chapter 9. Direct and Indirect Observational Methods in Developmental and Family Science
Rena L. Repetti
10. Chapter 10. Assessing Parenting in Context: Naturalistic Assessment, Domain Specificity, and Early Development
Douglas M. Teti
11. Chapter 11. Maximizing Cultural Validity in the Study of Child Development
Suzanne Gaskins
12. Chapter 12. Introduction to Qualitative Methods in Developmental Science
Debbie Kim and Rachel Feldman
III. ADVANCES IN DEVELOPMENTAL INTERVENTION
13. Chapter 13. The Multiphase Optimization Strategy (MOST) framework
Kelly Rulison
14. Chapter 14. The Sequential Multiple Assignment Randomized Trial (SMART) design
Xiaoxi Yan, Yifan Cui, and Bibhas Chakraborty
15. Chapter 15. Adaptive Intervention Designs for Studies of Human Development
Timothy R. Brick
16. Chapter 16. Economic Evaluation of Developmental Interventions: Issues & Best Practices
Daniel (Max) Crowley
17. Chapter 17. Bringing Interventions to Scale: Research Methods for Dissemination & Implementation Science
Gitanjali Shrestha and Brittany Cooper
IV. DATA ANALYSIS AND METHODS IN DEVELOPMENTAL SCIENCE
18. Chapter 18. It’s all regression: Fundamentals of developmental data analysis
Michael Rovine, Emily M. Weiss, and Paul A. McDermott
19. Chapter 19. Modern causal mediation and longitudinal models for developmental data
Matthew J. Valente, Judith J. M. Rijnhart, & David P. MacKinnon
20. Chapter 20. A Rosetta Stone for Modeling Change: Connections among Multilevel Models,
Structural Equation Models, and Multilevel Structural Equation Models
Lesa Hoffman
21. Chapter 21. Integrative data analysis in developmental science: A primer
Veronica T. Cole, Conor H. Lacey, and Lydia F. Bierce
22. Chapter 22. Propensity score methods in quasi-experimental research
Donna L. Coffman
23. Chapter 23. Applications of Social Network Analysis in Developmental Science
Andrea Vest Ettekal and Jimi Adams
24. Chapter 24. Time-Varying Effect Modeling to Address Novel Questions in Developmental Research
Stephanie T. Lanza and Anna K. Hochgraf
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