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.
|Country of origin:
William R Nugent
||Electronic book text
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