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Behavior Modification
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The Relationship Between Visual Analysis and Five Statistical Analyses in a Simple AB Single-Case Research Design

Daniel F. Brossart

Texas A&M University

Richard I. Parker

Texas A&M University

Elizabeth A. Olson

Texas A&M University

Lakshmi Mahadevan

Texas A&M University

This study explored some practical issues for single-case researchers who rely on visual analysis of graphed data, but who also may consider supplemental use of promising statistical analysis techniques. The study sought to answer three major questions: (a) What is a typical range of effect sizes from these analytic techniques for data from "effective interventions"? (b) How closely do results from these same analytic techniques concur with visual-analysis-based judgments of effective interventions? and (c) What role does autocorrelation play in interpretation of these analytic results? To answer these questions, five analytic techniques were compared with the judgments of 45 doctoral students and faculty, who rated intervention effectiveness from visual analysis of 35 fabricated AB design graphs. Implications for researchers and practitioners using single-case designs are discussed.

Key Words: visual analysis • statistical analysis

Behavior Modification, Vol. 30, No. 5, 531-563 (2006)
DOI: 10.1177/0145445503261167
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