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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.