Analyzing Single System Design Data

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Oxford University Press, Dec 11, 2009 - Social Science - 184 pages
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Single system, or single case, design studies are a convenient method for evaluating practice, allowing professionals to track clients' response to treatment and change over time. They also allow researchers to gather data where it might be difficult to conduct a study involving treatment and control groups; in a school setting, or a community mental health agency, for example, random assignment may be impossible, whereas individual student or client progress across time can be more easily monitored. This pocket guide reviews a wide range of techniques for analyzing single system design data, including visual analysis methods, graphical methods, and statistical methods. From basic visual observation to complex ARIMA statistical models for use with interrupted time series designs, numerous data analysis methods are described and illustrated in this unique and handy book. The author frankly describes limitations and strengths of the data analysis methods so that readers can select an appropriate method and use the results responsibly in order to improve practice and client well-being. This accessible yet in-depth introduction will serve as a highly practical resource for doctoral students and researchers alike.
 

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Contents

1 An Overview of Single Case Design Methodology
3
2 RegressionDiscontinuity and ARIMA Models
31
3 Graphical and Statistical Methods
77
4 The Analysis of Data From Integrated Single Case and Group Designs
111
5 Recommendations
136
Glossary
155
References
159
Index
167
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About the author (2009)

William R. Nugent is Associate Professor of Social Work, University of Tennessee, Knoxville.

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