Continuity and change are major concerns of the social and behavioural sciences. This text deals with designs that analyze change in multiple subjects, and with change in single subjects and an interacting system.

Contents: Preface. Part I: Analyzing Change in Multiple Subjects.D. Rogosa, Myths and Methods: "Myths About Longitudinal Research" plus Supplemental Questions. G.P. Sackett, J.W. Shortt, Hierarchical Regression Analysis with Repeated Data Measures. G.R. Patterson, Orderly Change in a Stable World: The Antisocial Trait as a Chimera. M. Stoolmiller, Using Latent Growth Curve Models to Study Developmental Processes. E.R. Anderson, Accelerating and Maximizing Information from Short-Term Longitudinal Research. S.W. Raudenbush, Hierarchical Linear Models to Study the Effects of Social Context on Development. J.B. Willett, J.D. Singer, Investigating Onset, Cessation, Relapse, and Recovery: Using Discrete-Time Survival Analysis to Examine the Occurrence and Timing of Critical Events. M. Stoolmiller, L. Bank, Autoregressive Effects in Structural Equation Models: We See Some Problems. Part II: Analyzing Change in a Single Subject or an Interacting System.R. Bakeman, L.B. Adamson, P. Strisik, Lags and Logs: Statistical Approaches to Interaction (SPSS Version). W.A. Griffin, Assessing State Changes in Micro-Social Interaction: An Introduction to Event-History Analysis. W. Gardner, On the Reliability of Sequential Data: Measurement, Meaning, and Correction. J. Crosbie, Interrupted Time-Series Analysis with Short Series: Why It Is Problematic; How It Can Be Improved. M.B. Priestly, Current Developments in Time-Series Modeling. J. Murray, Nonlinear Dynamics and Chaos. G.L. Baker, The Chaotic Pendulum: Model and Metaphor.

"This book focuses on the more difficult but richer designs and analysis of change that occur within a unit over time. It easily qualifies as a necessary reference for any serious methodologist faced with the issues of measuring change over time."—Contemporary Psychology