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Autor/inn/enBrossart, Daniel F.; Parker, Richard I.; Olson, Elizabeth A.; Mahadevan, Lakshmi
TitelThe Relationship between Visual Analysis and Five Statistical Analyses in a Simple AB Single-Case Research Design
QuelleIn: Behavior Modification, 30 (2006) 5, S.531-563 (33 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0145-4455
DOI10.1177/0145445503261167
SchlagwörterResearch Design; Effect Size; Evaluation Methods; Researchers; Statistical Analysis; Intervention; Program Effectiveness; Data Interpretation; Correlation; Graduate Students; College Faculty; Doctoral Programs; Graphs; Validity; Educational Psychology; Vignettes; Comparative Analysis; Computer Software; Reliability; Student Behavior
AbstractThis 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. (Contains 3 tables and 1 figure.) (As Provided).
AnmerkungenSAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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