Longitudinal research is a broad field in which substantial advances have been made over the past decade. Unlike many of the existing books that only address the analysis of information. The Handbook of Longitudinal Research covers design and measurement as well as the data analysis. Designed for use by a wide-ranging audience, this Handbook not only includes perspective on the methodological and data analysis problems in longitudinal research but it also includes contributors' data sets that enable readers who lack sophisticated statistics skills to move from theories about longitudinal data into practice. As the comprehensive reference, this Handbook has no direct competition as most books in this subject area are more narrowly specialized and are pitched at a high mathematical level. Contributors and subject areas are interdisciplinary to reach the broadest possible audience (i.e., psychology, epidemiology, and economics research fields) Summary material will be included for less sohisticated readers Extensive coverage is provided of traditional advanced topics

Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of state-of-the-art theory

This book provides accessible treatment to state-of-the-art approaches to analyzing longitudinal studies. Comprehensive coverage of the most popular analysis tools allows readers to pick and choose the techniques that best fit their research. The analyses are illustrated with examples from major longitudinal data sets including practical information about their content and design. Illustrations from popular software packages offer tips on how to interpret the results. Each chapter features suggested readings for additional study and a list of articles that further illustrate how to implement the analysis and report the results. Syntax examples for several software packages for each of the chapter examples are provided at www.psypress.com/longitudinal-data-analysis. Although many of the examples address health or social science questions related to aging, readers from other disciplines will find the analyses relevant to their work. In addition to demonstrating statistical analysis of longitudinal data, the book shows how to interpret and analyze the results within the context of the research design. The methods covered in this book are applicable to a range of applied problems including short- to long-term longitudinal studies using a range of sample sizes. The book provides non-technical, practical introductions to the concepts and issues relevant to longitudinal analysis. Topics include use of publicly available data sets, weighting and adjusting for complex sampling designs with longitudinal studies, missing data and attrition, measurement issues related to longitudinal research, the use of ANOVA and regression for average change over time, mediation analysis, growth curve models, basic and advanced structural equation models, and survival analysis. An ideal supplement for graduate level courses on data analysis and/or longitudinal modeling taught in psychology, gerontology, public health, human development, family studies, medicine, sociology, social work, and other behavioral, social, and health sciences, this multidisciplinary book will also appeal to researchers in these fields.

Brimming with life maps, life history calendars, and extracts from transcripts and diaries, this book illustrates by example the unique principles, challenges, and applications of qualitative longitudinal research. Synthesizing current literature on qualitative longitudinal research, it brings together sociological theory and empirically driven longitudinal studies while also highlighting a range of possible research approaches. With a consistent balance of conceptual discussions with hands-on advice, it provides readers with the foundation to adapt lessons-learned from other researchers to fit their own qualitative longitudinal studies. Supported by research tools such as conceptual road maps, short data extracts, consent forms, and other data organization tools, this book provides everything postgraduate researchers need to transition from the classroom to the field.

Johnny Saldana outlines the basic elements of longitudinal qualitative data, focusing on micro-levels of change observed within individual cases and groups of participants. He draws upon his primary experience in theater education to examine time and change in longitudinal qualitative studies; contending that "playwrights and qualitative researchers write for the same purpose: to create a unique, insightful, and engaging text about the human condition." Offering sixteen specific questions through which researchers may approach the analysis of longitudinal qualitative data, Professor Saldana presents a text intended as a primer for fellow newcomers to long term inquiry, based on traditional social science methods from traditional qualitative and quantitative paradigms, but enriched by an artist-educator's unconventional perspective.

Bringing together leading authorities, this unique handbook reviews the breadth of current approaches for studying how people think, feel, and behave in everyday environments, rather than in the laboratory. The volume thoroughly describes experience sampling methods, diary methods, physiological measures, and other self-report and non-self-report tools that allow for repeated, real-time measurement in natural settings. Practical guidance is provided to help the reader design a high-quality study, select and implement appropriate methods, and analyze the resulting data using cutting-edge statistical techniques. Applications across a wide range of psychological subfields and research areas are discussed in detail.

A time series is a set of repeated measurements of the same phenomenon taken sequentially over time. Capturing the data creates a time series "memory" to document correlations or lack, and to help them make decisions based on this data.

This Handbook is a very timely contribution to organization and business studies. Most calls for longitudinal research are made in sections of published work that deal with limitations of the study or suggestions for further research. This book places longitudinal research methods at center stage. With its practical, hands-on approach it guides us how to design a longitudinal study in and around organizations whether qualitative or quantitative and how to implement it. I warmly recommend this Handbook to ambitious senior and junior researchers. It makes the commonly presented excuses for not undertaking longitudinal research completely redundant. Rebecca Piekkari, Aalto University, School of Business in Helsinki, Finland This is a very timely book that fills an important gap in the field of research methods. So far very little attention has been paid to longitudinal research methods, while the usefulness of this type of research has often been discussed in many papers and conferences. Insights provided by scholars who have been doing this type of research provide useful guidelines for anyone interested in research methods from senior scholars to young researchers and PhD candidates. This volume will serve as an excellent complement to the existing range of books on research methods. Pervez Ghauri, Kings College London, UK This innovative Handbook demonstrates that there is no single best approach to conducting longitudinal studies. At their best, longitudinal research designs yield rich, contextualised, multilevel and deep understanding of the studied phenomenon. The lack of resources in terms of time, funding and people can pose a serious challenge to conducting longitudinal research. This book tackles many of these challenges and discusses the role of longitudinal research programmes in overcoming such obstacles. This book shows how longitudinal research methods enable the understanding of dynamics, mechanisms, causalities and interrelationships of organizational and business concepts in context and in relation to time. It discusses the richness and versatility of longitudinal research and offers, to students and experienced scholars alike, numerous viewpoints, reflections and personal accounts about conducting longitudinal research, from planning and fieldwork to reporting and managing of research projects.

It is refreshing to see a book such as this which is both broad in its conceptualization of the field of child research and deep in its focus. The volume′s editors are paragons of awareness when it comes to the need for interdisciplinary research and theory to illuminate the lives and experience of children. - James Garbarino, Loyola University Chicago "Covers a satisfying and unprecedentedly wide range of research relating to childhood. The contributors include many eminent international scholars of childhood, making the book a valuable resource for child researchers. Child advocates will also find the book to be invaluable in their efforts to improve children’s well-being, and to change policies and practices for the better." - Anne Smith, University of Otago "A really scintillating collection that will provide a lasting perspective on child studies - stimulating and comprehensive!" - Jonathan Bradshaw, University of York In keeping with global changes in children′s social and legal status, this Handbook includes examination of children as family members, friends, learners, consumers, people of faith, and participants in law and politics. The contributors also discuss the methodological and ethical requirements for research that occurs in natural settings and that enables children themselves to describe their perspective. The book is divided into three parts: Part I: Setting-Specific Issues in Child Research Part II: Population-Specific Issues in Child Research Part III: Methods in Research on Children and Childhood

This book has been replaced by Longitudinal Structural Equation Modeling, Second Edition, ISBN 978-1-4625-5314-3.