Design and Analysis of Single-Case Research (eBook, PDF)

Redaktion: Franklin, Ronald D.; Gorman, Bernard S.; Allison, David B.

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 416
• Erscheinungstermin: 14. Januar 2014
• Englisch
• ISBN-13: 9781317780441
• Artikelnr.: 40344011

Autorenporträt

Ronald D. Franklin, David B. Allison, Bernard S. Gorman

Inhaltsangabe

Contents: Preface. R.D. Franklin
D.B. Allison
B.S. Gorman
Introduction. R.F. Ittenbach
W.F. Lawhead
Historical and Philosophical Foundations of Single-Case Research. L.H. Primavera
D.B. Allison
V.C. Alfonso
Measurement of Dependent Variables. F.M. Gresham
Treatment Integrity in Single-Subject Research. R.D. Franklin
B.S. Gorman
T.M. Beasley
D.B. Allison
Graphical Display and Visual Analysis. B.S. Gorman
D.B. Allison
Statistical Alternatives for Single-Case Designs. T.A. Matyas
K.M. Greenwood
Serial Dependency in Single-Case Time Series. M.S. Faith
D.B. Allison
B.S. Gorman
Meta-Analysis of Single-Case Research. T.M. Beasley
D.B. Allison
B.S. Gorman
The Potentially Confounding Effects of Cyclicity: Identification
Prevention
and Control. D.B. Allison
J.M. Silverstein
B.S. Gorman
Power
Sample Size Estimation
and Early Stopping Rules.