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Full Product Details

Author:   Brett Laursen (Florida Atlantic University, United States) ,  Todd D. Little (Texas Tech University, United States) ,  Noel A. Card (University of Arizona, United States) ,  Christian Steglich
Publisher:   Guilford Publications
Imprint:   Guilford Publications
Dimensions:   Width: 17.80cm , Height: 4.40cm , Length: 25.40cm
Weight:   1.572kg
ISBN:  

9781606236093

ISBN 10:   1606236091
Pages:   788
Publication Date:   20 December 2011
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

_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

Reviews

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/m-/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 <br> 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

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, Hugh Scott Hamilton Professor of Psychology, University of Virginia, USA 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

Author Information

Edited by Brett Laursen, PhD, Department of Psychology, Florida Atlantic University, USA; Todd D. Little, PhD, Department of Psychology, University of Kansas, USA; and Noel A. Card, PhD, Division of Family Studies and Human Development, University of Arizona, USA

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