This monograph is an edited collection of chapters within the domain of developmental methodology that collectively share the following goals. First, this monograph provides updated and comprehensive, yet also accessible and brief, summaries of our current understanding of key methodologies used in developmental science. Second, this monograph describes how our current understanding can be further leveraged to advance understanding of human development. Third, this monograph identifies shortcomings in our understanding of developmental methodology in order to provide a roadmap for future methodological advances. Fourth, this monograph aims to organize developmental methodology as a subdiscipline within developmental science. The chapters of this monograph were selected to identify major themes of developmental methodology, broadly defined to encompass issues of design, analysis, and research progression. Besides covering a wide range of topics, chapters were selected that (a) represent active areas of research or debate, (b) are important in advancing the quality of developmental science, and (c) seem likely to remain active and important areas of developmental methodology in the foreseeable future. Early chapters focus on design issues, including the merits of different sampling strategies and the use of large–scale data sets in developmental science. In the middle chapters, attention shifts to issues in longitudinal design and analysis. These chapters include an overview of longitudinal analyses in developmental science, considerations in measurement within longitudinal studies, and person–specific longitudinal approaches. Later chapters consider broader issues of replication and research accumulation, as well as the history and future of developmental methodology.
I. DEVELOPMENTAL METHODOLOGY AS A CENTRAL SUBDISCIPLINE OF DEVELOPMENTAL SCIENCE..... 7Noel A. CardII. MORE THAN JUST CONVENIENT: THE SCIENTIFIC MERITS OF HOMOGENEOUS CONVENIENCE SAMPLES..... 13Justin Jager, Diane L. Putnick, and Marc H. BornsteinIII. FROM SMALL TO BIG: METHODS FOR INCORPORATING LARGE SCALE DATA INTO DEVELOPMENTAL SCIENCE..... 31Pamela E. Davis–Kean and Justin JagerIV. DEVELOPMENTS IN THE ANALYSIS OF LONGITUDINAL DATA..... 46Kevin J. Grimm, Pega Davoudzadeh, and Nilam RamV. DESIGN–BASED APPROACHES FOR IMPROVING MEASUREMENT IN DEVELOPMENTAL SCIENCE..... 67Johnathan Rush and Scott M. Hofer
VI. PERSON–SPECIFIC INDIVIDUAL DIFFERENCE APPROACHES IN DEVELOPMENTAL RESEARCH..... 84Michael J. Rovine and Lawrence L. Lo
VII. REPLICATION, RESEARCH ACCUMULATION, AND META–ANALYSIS IN DEVELOPMENTAL SCIENCE..... 105Noel A. Card
VIII. THE PAST, PRESENT, AND FUTURE OF DEVELOPMENTAL METHODOLOGY..... 122Todd D. Little, Eugene W. Wang, and Britt K. Gorrall
OBSERVATIONS ABOUT HOW WE LEARN ABOUT METHODOLOGY AND STATISTICS..... 140Paul E. JoseCONTRIBUTORS..... 152
STATEMENT OF EDITORIAL POLICY..... 155
SUBJECT INDEX..... 157
Noel A. Card is Professor of Human Development and Family Studies at the University of Connecticut. His research focuses on child and adolescent social development as well as developmental methodology.
Paul E. Jose received his PhD in Developmental Psychology from Yale University in 1980. He has combined cutting–edge innovations in developmental psychology and research methods in his research and teaching since then. His recent book, Doing Statistical Mediation and Moderation (Guilford Press, 2013), was an effort to clarify the procedures for performing two statistical methods that are frequently misunderstood and incorrectly used.