Statistical methods for psychology 7 Hattatsu Shinrigaku no tameno Tōkeigaku (Statistical methods for developmental psychology: Longitudinal data analysis)
Data collected multiple times from several subjects (individuals) are known as “longitudinal data.” (e.g., data obtained from a follow-up survey on how children’s physical abilities change over time). This book explains the statistical methods available to developmental psychology—a branch of psychology that studies how people develop and change over time—focusing on analyses of longitudinal data. Longitudinal data are particularly effective when exploring temporal changes and individual differences therein, as well as the relationships between multiple types of change. Examples of excellent applied research using longitudinal data are increasing, not just in psychology, but in fields such as education, economics, and medicine. Nonetheless, few books in Japan cover analyses of such data in a technical manner, and even fewer offer explanations based on statistical methods related to psychology.
This book deals with topics ranging from the foundations of longitudinal data analysis to relatively recent advanced subjects, while consistently providing explanations based on a methodology known as structural equation modeling. Each chapter includes cases of developmental psychology research as examples. The topics covered include language development, intelligence, sociability, and aging. Though this book is primarily concerned with providing an understanding of statistical methodologies, it also aims to deepen our understanding of developmental psychology. This book considers data analyses as a series of statistical works, from data collection and modeling to parameter estimation and the interpretation and reporting of estimation results. The explanations included in the book discuss the essential topics in each of these stages, and thus offer a new perspective on this area of research.
This book is intended for undergraduates, graduate students, and researchers studying or conducting research in the field of psychology, including developmental psychology. However, individuals in other fields of study who employ analyses of longitudinal data may also find the book useful. While there are many textbooks and reference books that focus on statistics, including that related to psychology, those who wish to deepen their understanding of statistics by studying the foundations of longitudinal data analysis will benefit from this book.
(Written by Satoshi Usami, Associate Professor of Center for Research and Development on Transition from Secondary to Higher Education / 2018)