This text focuses on one important aspect of psychological research - the intensive study of people measured one or more at a time. Some important historical material is detailed in several chapters making a connection to previous material in psychology. Several contributors present important details on classical and novel methods to study behaviour over time, and they do so in the context of appropriate statistical methods. This reflects the growing interest in examining dynamic behaviours by objective behaviours by objective measurement. Key experimental design principles are expertly stated, reflecting the growing interest in studying the individual course of development for invariants in behaviours, including some unusual constructs such as cycles and punctuated equilibria. This book also deals with practical contemporary problems in psychology and documents the increased possibility of using clinical research tools. Taken as a whole, this volume is filled with historical points, informative mathematical and statistical analyses, and practical methods.
It addresses the issues of meta-analysis, cyclicity and confounds to visual inspection of single subject data that considers ways in which statistical software can aid in overcoming these constraints.
Table of Contents:
Contents: Preface. R.D. Franklin, D.B. Allison, B.S. Gorman, Introduction. R.F. Ittenbach, W.F. Lawhead, Historical and Philosophical Foundations of Single-Case Research. L.H. Primavera, D.B. Allison, V.C. Alfonso, Measurement of Dependent Variables. F.M. Gresham, Treatment Integrity in Single-Subject Research. R.D. Franklin, B.S. Gorman, T.M. Beasley, D.B. Allison, Graphical Display and Visual Analysis. B.S. Gorman, D.B. Allison, Statistical Alternatives for Single-Case Designs. T.A. Matyas, K.M. Greenwood, Serial Dependency in Single-Case Time Series. M.S. Faith, D.B. Allison, B.S. Gorman, Meta-Analysis of Single-Case Research. T.M. Beasley, D.B. Allison, B.S. Gorman, The Potentially Confounding Effects of Cyclicity: Identification, Prevention, and Control. D.B. Allison, J.M. Silverstein, B.S. Gorman, Power, Sample Size Estimation, and Early Stopping Rules.
About the Author :
Ronald D. Franklin, David B. Allison, Bernard S. Gorman
Review :
"The volume is unique in its inclusion of chapters on meta-analysis and cyclicity. It is effectively written to be useful to advanced undergraduates, graduates, researchers, and practitioners in psychology."
—CHOICE
"...the editors have brought together and clearly presented a number of approaches that provide for the principled analysis of data from single-case research. If their leads are followed, it could increase the sophistication of the field noticeably. This book...could be read with profit by any investigators concerned with the analysis of data from single or few cases."
—Psychometrika
