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
* 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 in 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.
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