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E-raamat: Analyzing Single System Design Data

(Professor of Social Work, University of Tennessee)
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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.

Arvustused

"...a useful resource for doctoral students and researchers as a good introduction to single case design analysis."--Doody's

Introduction vii
1 An Overview of Single Case Design Methodology 3
2 Regression-Discontinuity 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
William R. Nugent is Associate Professor of Social Work, University of Tennessee, Knoxville.