Divided into two sections, this book deals with designs that analyze change in multiple subjects, and with change in single subjects and an interacting system. Papers presented in this volume are accessible to scientists who are not methodologists. The character of the papers are more like primers than basic treatises on methodology, written for other methodologists. It is time that people stop thinking in rigid ways about how to study change and be introduced to a range of many possibilities. Change, stability, order and chaos are elusive concepts. The pursuit of the laws of change must be…mehr
Divided into two sections, this book deals with designs that analyze change in multiple subjects, and with change in single subjects and an interacting system. Papers presented in this volume are accessible to scientists who are not methodologists. The character of the papers are more like primers than basic treatises on methodology, written for other methodologists. It is time that people stop thinking in rigid ways about how to study change and be introduced to a range of many possibilities. Change, stability, order and chaos are elusive concepts. The pursuit of the laws of change must be approached in as flexible and creative a fashion as possible. This book should help to lead the way.
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.
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.
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