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Single Subject Research: Strategies for Evaluating Change presents an overview of strategies used to evaluate change in single subject research, a particular approach referring to time-series paradigms in which each subject is used repeatedly. These strategies include research design, graphical analysis, and statistical tests, and it will be apparent that such designs extend beyond those commonly employed in applied behavioral research.
The book opens with a brief historical perspective of time-series and other small group research. Separate chapters follow covering the analysis of graphic data as being of singular importance in single subject research; the units-of-analysis issue and a nonparametric randomization approach to data analysis; and the growing awareness among researchers that understanding the individual characteristics of interacting subjects may be inadequate for understanding the process that has taken place between them. The final chapter reviews the advantages and disadvantages of the analytic methods presented in the previous chapters. This volume will be of interest to those individuals actively engaged in educational and psychological experimentation for which single subject research strategies are or may prove to be valuable. Students desiring to supplement their knowledge of a unique and rapidly emerging area of statistical analysis as applied to single subject research designs will also find this volume of importance.
List of Contributors
1 Foundation of Time-Series Research
I. Time-Series Research: A Brief Historical Perspective
II. Design Considerations
III. Time-Series Research: Experimental Validity
IV. Time-Series Research Design
V. Considerations in the Choice of a Time-Series Design
VI. Measuring Change in Time-Series Research
2 The Analysis and Presentation of Graphic Data
II. Visual Analysis of Graphic Data
III. Forms of Graphic Representation
IV. The Construction and Presentation of Graphs
V. Summary and Conclusions
3 N = Nonparametric Randomization Tests
II. A Randomization Framework for Small-Sample Behavior Change Experiments
III. Examples of Randomization Tests in Small-Sample Behavior Change Experiments
IV. A Few Final Words
4 Analysis of Interrupted Time-Series Experiments
II. Issues in the Statistical Analysis of Behavioral Data: The Insufficiency of "Eyeballing" Graphs
III. Time-Series Analysis
Appendix I. Anomalous Values
5 Sequential Analysis of Observational Data Using Markov Chains
III. Types of Markov Chains
IV. Occupation Times
V. Nth Order Models
VI. Reduction in Uncertainty
VII. Multivariate Informational Analysis
VIII. The Sackett Alternative to Markov Chain Analysis
IX. Special Applications
Appendix 1. Matrix Analysis Applied to Markov Chains
Appendix 2. Derivation of N-(I-Q)-l
Appendix 3. Random Walk as Null Hypothesis
6 Choosing a Statistical Method for Analysis of an Intensive Experiment
I. Some Introductory Comments
II. Commentary on Suggested Analytic Methods
III. Exploratory and Confirmatory Data Analysis
IV. Selecting an Analytic Approach in Practice
V. Concluding Comments
- No. of pages:
- © Academic Press 1978
- 28th March 1978
- Academic Press
- eBook ISBN:
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