Analyzing Single System Design Data - William Nugent

Analyzing Single System Design Data

(Autor)

Buch | Softcover
184 Seiten
2009
Oxford University Press Inc (Verlag)
978-0-19-536962-5 (ISBN)
47,95 inkl. MwSt
This Pocket Guide covers the visual, graphical, and statistical analysis of data from single-case studies, with a much more comprehensive coverage of the range of data analysis methods than is contained in any other books on the topic for social workers.
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.

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

INTRODUCTION; GLOSSARY; REFERENCES; INDEX

Erscheint lt. Verlag 24.12.2009
Reihe/Serie Pocket Guide to Social Work Research Methods
Zusatzinfo 101 black and white line illustrations
Verlagsort New York
Sprache englisch
Maße 206 x 137 mm
Gewicht 181 g
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Sozialwissenschaften Pädagogik Sozialpädagogik
Sozialwissenschaften Soziologie
ISBN-10 0-19-536962-9 / 0195369629
ISBN-13 978-0-19-536962-5 / 9780195369625
Zustand Neuware
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