Single-Case Research Design and Analysis: New Directions for Psychology and Education

Single-Case Research Design and Analysis: New Directions for Psychology and Education

Single-Case Research Design and Analysis: New Directions for Psychology and Education

Single-Case Research Design and Analysis: New Directions for Psychology and Education

Synopsis

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.

Excerpt

With the proliferation of single-case research in basic and applied areas of the social sciences, writers have continued to develop applicable data-analysis strategies. in the Preface to Single-Subject Research: Strategies for Evaluating Change (Kratochwill, 1978), it was noted that at the time there was growing interest in and controversy over the analysis of single-subject data. This picture has not changed much over the past 14 years. There is still interest; there is still controversy; and there are those who use statistical tests (advocates), those who do not (neutrals), and those who recommend against use of any inferential statistical test (opponents). Although it is not possible to specify exact number in each of these categories, the balance has probably not shifted very much since 1978.

So, the reader might ask why have we edited a book devoted to single-case data analysis? First, there is need to take stock of where we are in the development of data analysis procedures for single-case research. Increased research on various aspects of single-case data analysis is of compelling interest for the scholar of research methodology.

Second, as will become apparent to individuals who read this text, there are misapplications of various statistical procedures, including both some old errors of application and some new problems that heretofore have remained unexamined. These errors of application need to be made explicit and considered within the context of new theoretical and empirical information.

Third, there are new developments in the analysis of data from single-case or small n experiments. These developments extend beyond some of the conventional single-case designs that have their origins in the experimental analysis of behavior, and therefore are worthy of close examination even by traditional . . .

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