Originally published in 1992, the editors of this volume fulfill three main goals: to take stock of progress in the development of data-analysis procedures for single-subject research; to clearly explain errors of application and consider them within the context of new theoretical and empirical information of the time; and to closely examine new developments in the analysis of data from single-subject or small n experiments.
To meet these goals, this book provides examples of applicable single-subject research data analysis. It presents a wide variety of topics and perspectives and hopes that readers will select the data-analysis strategies that best reflect their methodological approaches, statistical sophistication, and philosophical beliefs. These strategies include visual analysis, nonparametric tests, time-series experiments, applications of statistical procedures for multiple behaviors, applications of meta-analysis in single-subject research, and discussions of issues related to the application and misapplication of selected techniques.
Table of Contents
Preface. 1. Thomas R. Kratochwill Single-Case Research Design and Analysis: An Overview 2. Barry S. Parsonson and Donald M. Baer The Visual Analysis of Data, and Current Research into the Stimuli Controlling It 3. Richard McCleary and Wayne N. Welsh Philosophical and Statistical Foundations of Time-Series Experiments 4. Bruce E. Wampold The Intensive Examination of Social Interaction 5. Eugene S. Edgington Nonparametric Tests for Single-Case Experiments 6. Patricia L. Busk and Leonard A. Marascuilo Statistical Analysis in Single-Case Research: Issues, Procedures, and Recommendations, with Applications to Multiple Behaviors 7. Patricia L. Busk and Ronald C. Serlin Meta-analysis for Single-Case Research 8. Joel R. Levin Single-Case Research Design and Analysis: Comments and Concerns. Author Index. Subject Index.