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Sinharay, Sandip; Johnson, Matthew S. – Grantee Submission, 2019
According to Wollack and Schoenig (2018), score differencing is one of six types of statistical methods used to detect test fraud. In this paper, we suggested the use of Bayes factors (e.g., Kass & Raftery, 1995) for score differencing. A simulation study shows that the suggested approach performs slightly better than an existing frequentist…
Descriptors: Cheating, Deception, Statistical Analysis, Bayesian Statistics
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Pan, Tianshu; Yin, Yue – Applied Measurement in Education, 2017
In this article, we propose using the Bayes factors (BF) to evaluate person fit in item response theory models under the framework of Bayesian evaluation of an informative diagnostic hypothesis. We first discuss the theoretical foundation for this application and how to analyze person fit using BF. To demonstrate the feasibility of this approach,…
Descriptors: Bayesian Statistics, Goodness of Fit, Item Response Theory, Monte Carlo Methods
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Hodges, Jaret; McIntosh, Jason; Gentry, Marcia – Journal of Advanced Academics, 2017
High-potential students from low-income families are at an academic disadvantage compared with their more affluent peers. To address this issue, researchers have suggested novel approaches to mitigate gaps in student performance, including out-of-school enrichment programs. Longitudinal mixed effects modeling was used to analyze the growth of…
Descriptors: After School Programs, Enrichment Activities, Academic Achievement, High Achievement
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Staels, Eva; Van den Broeck, Wim – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
This article reports on 2 studies that attempted to replicate the findings of a study by Szmalec, Loncke, Page, and Duyck (2011) on Hebb repetition learning in dyslexic individuals, from which these authors concluded that dyslexics suffer from a deficit in long-term learning of serial order information. In 2 experiments, 1 on adolescents (N = 59)…
Descriptors: Dyslexia, Repetition, Sequential Learning, Neurological Impairments
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Schochet, Peter Z.; Chiang, Hanley S. – Journal of Educational and Behavioral Statistics, 2013
This article addresses likely error rates for measuring teacher and school performance in the upper elementary grades using value-added models applied to student test score gain data. Using a realistic performance measurement system scheme based on hypothesis testing, the authors develop error rate formulas based on ordinary least squares and…
Descriptors: Classification, Measurement, Elementary School Teachers, Elementary Schools
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Schochet, Peter Z.; Chiang, Hanley S. – National Center for Education Evaluation and Regional Assistance, 2010
This paper addresses likely error rates for measuring teacher and school performance in the upper elementary grades using value-added models applied to student test score gain data. Using realistic performance measurement system schemes based on hypothesis testing, we develop error rate formulas based on OLS and Empirical Bayes estimators.…
Descriptors: Teacher Effectiveness, Teacher Evaluation, Student Evaluation, Scores