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Autor/inn/enSolomon, Benjamin G.; Forsberg, Ole J.
TitelBayesian Asymmetric Regression as a Means to Estimate and Evaluate Oral Reading Fluency Slopes
QuelleIn: School Psychology Quarterly, 32 (2017) 4, S.539-551 (13 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1045-3830
DOI10.1037/spq0000206
SchlagwörterBayesian Statistics; Regression (Statistics); Least Squares Statistics; Evaluation Methods; Oral Reading; Reading Fluency; Intervention; Curriculum Based Assessment; Problem Solving; Models; Monte Carlo Methods; Validity; Decision Making; Comparative Analysis; Sample Size; Probability; Efficiency; Accuracy; Statistical Bias; Robustness (Statistics); Statistical Analysis
AbstractBayesian techniques have become increasingly present in the social sciences, fueled by advances in computer speed and the development of user-friendly software. In this paper, we forward the use of Bayesian Asymmetric Regression (BAR) to monitor intervention responsiveness when using Curriculum-Based Measurement (CBM) to assess oral reading fluency (ORF). An overview of Bayesian methods and their application to the problem-solving model is first presented, which is further illustrated by a case example. We conclude the paper with a Monte Carlo simulation study demonstrating the validity of BAR, as compared to the current standard of practice for CBM decision-making, ordinary least squares (OLS) regression. Results suggest that BAR is most advantageous with studies using small-to-moderate sample sizes, and when distributional information (such as the probability of intervention success) is of interest. (As Provided).
AnmerkungenAmerican Psychological Association. Journals Department, 750 First Street NE, Washington, DC 20002. Tel: 800-374-2721; Tel: 202-336-5510; Fax: 202-336-5502; e-mail: order@apa.org; Web site: http://www.apa.org
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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