Handbook of Longitudinal Research

"The Handbook of Longitudinal Research provides a set of chapters that treat the topic of longitudinal research in an informative and comprehensive fashion. With an increasing emphasis on accountability and evaluation for funded programs and for the precision that more sophisticated questions demands, this collection of chapters provides a valuable resource." --Neil J. Salkind, Studio B"This is an impressively thorough treatment of important issues in design and analysis of longitudinal research. It will serve as a definitive handbook. The first chapter is particularly useful as guidance for the selection of analytic methods that are presented in detail in subsequent chapters." --Dr. Rebecca Warner, University of New Hampshire"Menard has assembled an excellent collection of essays (all but three are original contributions) on a wide array to topics related to longitudinal research. Whether you are a novice to longitudinal research or a seasoned veteran, this collection will prove to be a valuable resource, with topics ranging from basic methodological issues (e.g., respondent recall, panel attrition, and panel conditioning) to advanced analytical concerns (e.g., spectral analysis, latent growth curve analysis, and discrete time event history analysis)." --Finn Esbensen, University of Missouri-St. Louis"The Handbook of Longitudinal Research will be an invaluable reference for organizational scientists engaged in serious longitudinal work. In particular, it should prove quite useful for designing investigations of organizational change—an arena where the use of longitudinal research designs has become essential." --Richard W. Woodman, Texas A & M University

• 1. Longitudinal Research Design (6 chapters)2. Measurement Issues in Longitudinal Research (6 chapters)3. Descriptive and Causal Analysis in Longitudinal Resarch (6 chapters)4. Description and Measurement of Qualitative Change (5 chapters)5. Timing of Qualitative Change: Event History Analysis (4 chapters)6. Panel Analysis, Structural Equation Models, and Multilevel Models (6 chapters)7. Time Series Analysis and Deterministic Dynamic Models (3 chapters)