Analyzing Single System Design Data by William NugentAnalyzing Single System Design Data by William Nugent

Analyzing Single System Design Data

byWilliam Nugent

Paperback | December 25, 2009

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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 andcontrol 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 dataanalysis 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 at the University of Tennessee, Knoxville.
Title:Analyzing Single System Design DataFormat:PaperbackDimensions:184 pages, 5.51 × 8.11 × 0.51 inPublished:December 25, 2009Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0195369629

ISBN - 13:9780195369625


Table of Contents

Introduction1. An Overview of Single Case Design Methodology2. Regression-Discontinuity and ARIMA Models3. Graphical and Statistical Methods4. The Analysis of Data From Integrated Single Case and Group Designs5. RecommendationsGlossaryReferencesIndex