Handbook of Developmental Research Methods

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. 

_x000D__x000D_I. Measurement and Design_x000D_1. Foundational Issues of Design and Measurement in Developmental Research, Scott M. Hofer, Valgeir Thorvaldsson, and Andrea M. Piccinin _x000D_2. Causal Inference, Identification, and Plausibility, E. Michael Foster_x000D_3. Accelerated Longitudinal Designs, Susan C. Duncan and Terry E. Duncan_x000D_4. Time-Scale-Dependent Longitudinal Designs, Theodore A. Walls, William D. Barta, Robert S. Stawski, Charles E. Collyer, and Scott M. Hofer_x000D_5. Event Frequency Measurement, Brett Laursen, Jaap Denissen, and David F. Bjorklund_x000D_6. The Impact of Scaling and Measurement Methods on Individual Differences in Growth, Susan E. Embretson and John Poggio_x000D_7. Investigating Factorial Invariance in Longitudinal Data, Roger E. Millsap and Heining Cham_x000D_II. Approaches to Data Collection_x000D_8. Foundational Issues in Longitudinal Data Collection, Lea Pulkkinen and Katja Kokko_x000D_9. The Use of Large-Scale Data Sets for the Study of Developmental Science, Pamela Davis-Kean and Justin Jager_x000D_10. Telemetrics and Online Data Collection: Collecting Data at a Distance, Joshua Wilt, David M. Condon, and William Revelle_x000D_11. Collecting and Analyzing Longitudinal Diary Data, Bernhard Schmitz, Julia Klug, and Silke Hertel_x000D_12. Retrospective Methods in Developmental Science, Andrea Follmer Greenhoot_x000D_13. Peer Ratings, William M. Bukowski, Antonius H. N. Cillessen, and Ana Maria Velásquez_x000D_III. Interindividual Longitudinal Analysis_x000D_14. Foundational Issues in Investigating Development as Interindividual Variation, Jari-Erik Nurmi_x000D_15. Analysis of Experimental and Quasi-Experimental Data: Pinpointing Explanations, Richard Gonzalez, Tianyi Yu, and Brenda Volling_x000D_16. Autoregressive and Cross-Lagged Panel Analysis for Longitudinal Data, James P. Selig and Todd D. Little_x000D_17. Analyzing Change between Two or More Groups: Analysis of Variance versus Analysis of Covariance, Kamala London and Daniel B. Wright_x000D_18. Mediation Models for Developmental Data, Matthew S. Fritz and David P. MacKinnon_x000D_IV. Intraindividual Longitudinal Analysis_x000D_19. Foundational Issues in Intraindividual Longitudinal Analysis, Michael J. Rovine and Lawrence L. Lo_x000D_20. Dynamic Factor Analysis and Control of Developmental Processes, Peter Molenaar and Lawrence L. Lo_x000D_21. P-Technique Factor Analysis, Ihno A. Lee and Todd D. Little_x000D_22. Hazard, Event History, and Survival Modeling, Margaret K. Keiley, Cassandra Kirkland, Ali Zaremba, and Ashley Anders Jackson_x000D_V. Combining Interindividual and Intraindividual Longitudinal Analysis_x000D_23. Foundational Issues in the Contemporary Modeling of Longitudinal Trajectories, John J. McArdle_x000D_24. Growth Curve Modeling from a Structural Equation Modeling Perspective, Kevin J. Grimm and Nilam Ram_x000D_25. Growth Curve Modeling from a Multilevel Model Perspective, Joop J. Hox and Jan Boom_x000D_26. Nonlinear Growth Modeling, Shelley A. Blozis_x000D_27. Group-Based Trajectory Modeling in Developmental Science, Daniel S. Nagin and Candice L. Odgers_x000D_28. Longitudinal Mixture Models and the Identification of Archetypes, Nilam Ram, Kevin J. Grimm, Lisa M. Gatzke-Kopp, and Peter C. M. Molenaar _x000D_29. Multilevel Structural Equation Modeling, James A. Bovaird and Leslie H. Shaw_x000D_VI. Nonindependent Data Analysis_x000D_30. Foundational Issues in Nonindependent Data Analysis, William L. Cook_x000D_31. Dyadic Data Analyses in a Developmental Context, Robert A. Ackerman, M. Brent Donnellan, Deborah A. Kashy, and Rand D. Conger_x000D_32. Applying the Social Relations Model to Developmental Research, Noel A. Card and Russell B. Toomey_x000D_33. Analysis of Static Social Networks and their Developmental Effects, Scott D. Gest and Thomas A. Kindermann_x000D_34. Actor-Based Model for Network and Behavior Dynami

 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.