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Sinharay, Sandip – Measurement: Interdisciplinary Research and Perspectives, 2018
Producers and consumers of test scores are increasingly concerned about fraudulent behavior before and during the test. There exist several statistical or psychometric methods for detecting fraudulent behavior on tests. This paper provides a review of the Bayesian approaches among them. Four hitherto-unpublished real data examples are provided to…
Descriptors: Ethics, Cheating, Student Behavior, Bayesian Statistics
Sinharay, Sandip – Grantee Submission, 2018
Producers and consumers of test scores are increasingly concerned about fraudulent behavior before and during the test. There exist several statistical or psychometric methods for detecting fraudulent behavior on tests. This paper provides a review of the Bayesian approaches among them. Four hitherto-unpublished real data examples are provided to…
Descriptors: Ethics, Cheating, Student Behavior, Bayesian Statistics
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Brown-Wright, Lynda; Tyler, Kenneth M.; Stevens-Watkins, Danelle; Thomas, Deneia; Mulder, Shambra; Hughes, Travonia; Stevens-Morgan, Ruby; Roan-Belle, Clarissa; Gadson, Nadia; Smith, La Toya – Urban Education, 2013
The current study examined the association between home-school dissonance and academic cheating among 344 high school juniors and seniors at two urban high schools. Students completed two subscales of the Patterns of Adaptive Learning Scale (PALS) and one subscale of the Academic Motivation Scale (AMS). Analyses revealed that home-school…
Descriptors: Cheating, Measures (Individuals), Comparative Analysis, Student Motivation
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Lee, Jeesoo; Bong, Mimi; Kim, Sung-il – Educational Psychology, 2014
We tested the interaction between task value and self-efficacy on defensive pessimism, academic cheating, procrastination and self-handicapping among 574 Korean 11th graders in the context of English as a foreign language. We hypothesised that perceiving high value in tasks or domains for which self-efficacy was low would pose a threat to…
Descriptors: Learning Strategies, Foreign Countries, Self Efficacy, Task Analysis
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis