Handbook of Developmental Research Methods (Hardback) book cover

Handbook of Developmental Research Methods

Edited by Brett Laursen, Todd Little, Noel Card

© 2012 – Guilford Press

788 pages

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About the 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.



"The study of developmental change is a cardinal activity of behavioral and social science, but determining how to do it has prompted denial, disagreement, and despair for nearly a century. The contributors to this excellent volume are an outstanding group whose qualifications for guiding the field at this point in our history are truly stellar. Graduate students and faculty members alike will find this well-organized, highly informative volume indispensable as they articulate questions, design research, and analyze data pertaining to the study of change."--John R. Nesselroade, PhD, Hugh Scott Hamilton Professor of Psychology, University of Virginia

"In 41 chapters, this volume covers a very wide range of research methods, all extremely relevant to the developmental researcher. I know of no other handbook that even comes close to being so generally useful to young developmental researchers seeking to improve their knowledge of research methods. Numerous advanced topics are also treated--in many cases in depth--making the book valuable for methodologists as well. A highly commendable feature is the discussion of each method's applicability and assumptions."--Lars R. Bergman, PhD, Department of Psychology, Stockholm University, Sweden

"This is perhaps the most comprehensive and accessible handbook on developmental methodology yet written. Impressively, the handbook both covers current thinking on longstanding, classic issues and presents cutting-edge developments in emergent areas of developmental research, analysis, and design. Unlike many edited volumes whose chapters vary widely in style, format, and technical detail, the book is unified in its approach and eminently readable. It would serve nicely as the core text for a graduate seminar on developmental research methods."--Daniel J. Bauer, PhD, Department of Psychology, University of North Carolina at Chapel Hill

"The Handbook has an all-star roster of contributors who know both developmental and methodological issues. Especially impressive is that the volume covers a wide range of cutting-edge methodological issues at a level that is understandable to the practicing developmentalist. It is sure to be a valuable resource for decades to come for those who study change."--David A. Kenny, PhD, Department of Psychology, University of Connecticut

"The editors have compiled a volume that could easily become a standard reference that defines a generation of developmental researchers. This is an ideal reference for researchers at any career stage seeking an accessible yet informative introduction to state-of-the-art methods. The illustrative applications to substantive problems in human development will be useful to methodologists interested in further developing these methods. The chapters interweave research design with data analysis, reflecting the complex interdependence of the two in developmental research."--Keith A. Markus, PhD, Department of Psychology, John Jay College of Criminal Justice, City University of New York

"Comprehensive and consolidated, this volume is a 'one-stop shop' for methodological advances that need to be in every developmental scientist's tool box."--Antonio A. Morgan-Lopez, PhD, Department of Psychology, University of North Carolina at Chapel Hill

Table of Contents

Part 1. Measurement and Design. S.M. Hofer, V. Thorvaldsson, A. M. Piccinin, 1. Foundational Issues of Design and Measurement in Developmental Research. M. Foster, 2. Causal Inference, Identification, and Plausibility. S.C. Duncan, T.E. Duncan, 3. Accelerated Longitudinal Designs. T.A. Walls, W.D. Barta, R.S. Stawski, C.E. Collyer, S.M. Hofer, 4. Time-Scale-Dependent Longitudinal Designs. B. Laursen, J. Denissen, D. Bjorklund, 5. Event Frequency Measurement. S.E. Embretson, J. Poggio, 6. The Impact of Scaling and Measurement Methods on Individual Differences in Growth. R.E. Millsap, H. Cham, 7. Investigating Factorial Invariance in Longitudinal Data. Part 2. Approaches to Data Collection. L. Pulkkinen, K. Kokko, 8. Foundational Issues in Longitudinal Data Collection. P. Davis-Kean, J. Jager, 9. The Use of Large-Scale Data Sets for the Study of Developmental Science. J. Wilt, D.M. Condon, W. Revelle, 10. Telemetrics and Online Data Collection: Collecting Data at a Distance. B. Schmitz, J. Klug, S. Hertel, 11. Collecting and Analyzing Longitudinal Diary Data. A.F. Greenhoot, 12. Retrospective Methods in Developmental Science. W.M. Bukowski, A.H.N. Cillessen, A.M. Velásquez, 13. Peer Ratings. Part 3. Interindividual Longitudinal Analysis. J.E. Nurmi, 14. Foundational Issues in Investigating Development as Interindividual Variation. R. Gonzalez, T. Yu, B. Volling, 15. Analysis of Experimental and Quasi-Experimental Data: Pinpointing Explanations. J.P. Selig, T.D. Little, 16. Autoregressive and Cross-Lagged Panel Analysis for Longitudinal Data. K. London, D.B. Wright, 17. Analyzing Change between Two or More Groups: Analysis of Variance versus Analysis of Covariance. M.S. Fritz, D.P. MacKinnon, 18. Mediation Models for Developmental Data. Part 4. Intraindividual Longitudinal Analysis. M.J. Rovine, L.L. Lo, 19. Foundational Issues in Intraindividual Longitudinal Analysis. P.C.M. Molenaar, L.L. Lo, 20. Dynamic Factor Analysis and Control of Developmental Processes. I.A. Lee, T.D. Little, 21. P-Technique Factor Analysis. K. Keiley, C. Kirkland, A. Zaremba, A.A. Jackson, 22. Hazard, Event History, and Survival Modeling. Part 5. Combining Interindividual and Intraindividual Longitudinal Analysis. J.J. McArdle, 23. Foundational Issues in the Contemporary Modeling of Longitudinal Trajectories. K.J. Grimm, N. Ram, 24. Growth Curve Modeling from a Structural Equation Modeling Perspective. J.J. Hox, J. Boom, 25. Growth Curve Modeling from a Multilevel Model Perspective. S.A. Blozis, 26. Nonlinear Growth Modeling. D.S. Nagin, C.L. Odgers, 27. Group-Based Trajectory Modeling in Developmental Science. N. Ram, K.J. Grimm, L.M. Gatzke-Kopp, P.C.M. Molenaar, 28. Longitudinal Mixture Models and the Identification of Archetypes: Action-Adventure, Mystery, Science Fiction, or Romance. J.A. Bovaird, L.H. Shaw, 29. Multilevel Structural Equation Modeling. Part 6. Nonindependent Data Analysis. W.L. Cook, 30. Foundational Issues in Nonindependent Data Analysis. R.A. Ackerman, M.B. Donnellan, D.A. Kashy, R.D. Conger, 31. Dyadic Data Analyses in a Developmental Context. N.A. Card, R.B. Toomey, 32. Applying the Social Relations Model to Developmental Research. S.D. Gest, T.A. Kindermann, 33. Analysis of Static Social Networks and their Developmental Effects. R. Veenstra, C. Steglich, 34. Actor-Based Model for Network and Behavior Dynamics. Part 7. Special Topics in Data Analysis. A. von Eye, E.Y. Mun, R.M. Lerner, J.V. Lerner, E.P. Bowers, 35. Configural Frequency Analysis in Developmental Research. C. DiStefano, 36. Cluster Analysis and Latent Class Clustering Techniques. M.H. van IJzendoorn, M.J. Bakermans-Kranenburg, L.R.A. Alink, 37. Meta-Analysis in Developmental Science. M. Brendgen, F. Vitaro, A. Girard, 38. Evaluating Gene-Environment Interplay. J.L. Rodgers, A. Koval, Epidemic Models of the Onset of Social Activities. P. van Geert, 40. Dynamic Systems. S.A. Mistler, C.K. Enders, 41. Planned Missing Data Designs for Developmental Research.

About the Editors


Brett Laursen, PhD, is Professor of Psychology and Director of Graduate Training at Florida Atlantic University. He is also a Docent Professor of Social Developmental Psychology at the University of Jyväskylä, Finland. In 2008, Dr. Laursen received an honorary doctorate from Örebro University, Sweden. He is a Fellow of the American Psychological Association (Division 7, Developmental) and a Fellow and Charter Member of the Association for Psychological Science. In addition to his own research on parent–child and peer relationships, Dr. Laursen is a consultant and collaborator on several large longitudinal projects currently under way in North America and Europe.
Todd D. Little, PhD, is Professor of Educational Psychology and Leadership at Texas Tech University and founding Director of the Texas Tech University Research Institute. Dr. Little is past president of the American Psychological Association's Division 5 (Evaluation, Measurement, and Statistics) and winner of the Division's 2013 Cohen Award for Distinguished Contributions to Teaching and Mentoring. He organizes and teaches in the internationally renowned ""Stats Camps"" that he founded in 2002.
Noel A. Card, PhD, is Associate Professor in Family Studies and Human Development at the University of Arizona. His research centers on social development and quantitative methods, and especially the interface of these disciplines. Dr. Card's developmental research focuses on aggression and peer relations during childhood and adolescence; his quantitative interests include longitudinal analyses, analysis of interdependent data, and meta-analysis. He is a recipient of the Society for Research in Child Development’s Early Career Research Award.


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