Design and analysis of single-case research
L. Erlbaum Associates, 1997 - Psychology - 391 pages
This book focuses on one important aspect of psychological research -- the intensive study of people measured one or more at a time. Some important historical material is detailed in several chapters making a strong connection to previous material in psychology. Several contributors present important details on classical and novel methods to study behavior over time, and they do so in the context of appropriate statistical methods. This appropriately reflects the growing interest in examining dynamic behaviors by objective measurement. Key experimental design principles are expertly stated, reflecting the growing interest in studying the individual course of development for invariants in behaviors, including some unusual constructs such as cycles and punctuated equilibria. This book also deals with practical contemporary problems in psychology and documents the increased possibility of using clinical research tools. Taken as a whole, this volume is filled with interesting historical points, informative mathematical and statistical analyses, and practical methods. It is the only book addressing the issues of meta-analysis, cyclicity, and confounds to visual inspection of single subject data that considers ways in which statistical software can aid in overcoming these constraints.
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Historical and Philosophical Foundations
Measurement of Dependent Variables
Treatment Integrity in SingleSubject Research
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agreement Allison ANOVA Applied Behavior Analysis approach ARIMA autocorrelation coefficients autocorrelogram autoregressive average Barlow Behavioral Assessment behavioral research Box-Jenkins Busk calculated classical test theory components confidence intervals confounding correlation covariate cycle cyclicity data points dependent variable differencing distribution Edgington effect size effect sizes Equation estimate evaluation example experimental designs f-test factors formula frequency function Gorman Gottman graphs Hartmann Hersen Huitema independent intervention investigators journal of Applied Kazdin least-squares linear Marascuilo Matyas mean measures ment meta-analysis methods null hypothesis number of observations operational definition partial autocorrelation present procedures randomization tests raters regression reliability research design residuals sample scores serial dependence significant single-case designs single-case research slope standard deviation standard error statistical analysis strategy Suen Table techniques time-series time-series analysis tion treatment agents treatment effects treatment integrity treatment phase Type-I error validity values variance visual analysis visual inspection York