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Design and Analysis of Single-Case Research

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Aba Design
ACF
advanced single-case experimental design
Alternating Treatment Design
applied
ARIMA Analysis
ARIMA Model
Assessing Treatment Integrity
baseline
Baseline Phase
Baseline Phase Data
behavior
Behavior Analysts
behavioral data analysis
Behavioral Time Series
Box Jenkins ARIMA Model
Card Sort Data
Category=JMA
clinical intervention evaluation
Correct Model Identification
data
Data Sets
dependence
designs
developmental trajectory studies
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
experimental control techniques
Interim Analyses
Order Autoregressive Model
phase
Randomly Assigned
serial
Serial Dependency
Single Case Data
Single Case Designs
Single Case Research
Single Case Researcher
Single Case Time Series
statistical modeling psychology
subject
treatment fidelity
Treatment Integrity Assessments
Type Ii Error

Product details

  • ISBN 9780805816198
  • Weight: 770g
  • Dimensions: 152 x 229mm
  • Publication Date: 01 Dec 1996
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Paperback
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Description

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