Handbook of Research Methods in Developmental Science

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.

Author Bios viii Preface xxiv Part I Developmental Designs, Sampling, and Causal Inference 1 1 Cross- Sectional, Longitudinal, and Retrospective Designs: General Utility and Threats to Validity 3 Ekjyot K. Saini and Douglas M. Teti 2 Experimental Design in Developmental Science 31 Robert Hepach 3 Strengthening Causal Inference Using Sibling Designs 57 Gabriel L. Schlomer, Olivia C. Robertson, and Kristine Marceau Copyrighted Material 4 Quasi- Experimental Designs for Causal Inference About Intervention Effects: Addressing Threats to Validity from a Graphical Models Perspective 79 Patrick Sheehan, Muwon Kwon, and Peter M. Steiner 5 Measurement Burst Designs in Developmental Science 110 Daisy V. Zavala, Giselle A. Ferguson, Giancarlo Pasquini, and Stacey B. Scott 6 Obtaining and Keeping Your Sample: Participant Recruitment and Panel Maintenance 129 Carina Cornesse and Bella Struminskaya 7 On Sampling and Measurement: A Case Study of the Association Between Loneliness and Cognitive Function in the Survey of Health Aging and Retirement in Europe 146 Ashton M. Verdery and Mara Getz Sheftel Part II Construct Measurement in Developmental and Family Science 181 8 Conceptualizing and Measuring the Family Context 183 Gregory M. Fosco and Devin Malloy McCauley 9 Direct and Indirect Observational Methods in Developmental and Family Science 200 Rena L. Repetti 10 Assessing Parenting in Context: Naturalistic Assessment, Domain Specificity, and Early Development 220 Douglas M. Teti 11 Maximizing Cultural Validity in the Study of Child Development 250 Suzanne Gaskins 12 Introduction to Qualitative Methods in Developmental Science 276 Debbie Kim and Rachel Carly Feldman Part III Advances in Developmental Intervention 301 13 The Multiphase Optimization Strategy (MOST): A Framework to Develop More Effective, Affordable, Scalable, and Efficient Interventions 303 Kelly L. Rulison 14 The Sequential Multiple Assignment Randomized Trial (SMART) Design 329 Xiaoxi Yan, Yifan Cui, and Bibhas Chakraborty Contents vii 15 Adaptive Intervention Designs for Studies of Human Development 349 Timothy R. Brick 16 Economic Evaluation of Developmental Interventions: Issues and Best Practices 370 Lawrie Green Daniel (Max) Crowley 17 Bringing Interventions to Scale: Research Methods for Dissemination and Implementation Science 389 Gitanjali Shrestha and Brittany Cooper Part IV Data Analysis and Methods in Developmental Science 411 18 It’s All Regression: Fundamentals of Developmental Data Analysis 413 Michael J. Rovine, Emily M. Weiss, and Paul A. McDermott 19 Modern Causal Mediation and Longitudinal Models for Developmental Data 453 Matthew J. Valente, Judith J. M. Rijnhart, and David P. MacKinnon 20 A Rosetta Stone for Modeling Change: Connections among Multilevel Models, Structural Equation Models, and Multilevel Structural Equation Models 483 Lesa Hoffman 21 Integrative Data Analysis in Developmental Science: A Primer 516 Veronica T. Cole, Conor H. Lacey, and Lydia F. Bierce 22 Propensity Score Methods in Quasi- Experimental Research 544 Donna L. Coffman 23 Applications of Social Network Analysis in Developmental Science 560 Andrea Vest Ettekal and Jimi Adams 24 Time- Varying Effect Modeling to Address Novel Questions in Developmental Research 583 Stephanie T. Lanza and Anna K. Hochgraf Author Index 612 Subject Index 643