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The Use of Theory of Linear Mixed-Effects Models to Detect Fraudulent Erasures at an Aggregate Level
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Direct linkPeng, Luyao; Sinharay, Sandip – Educational and Psychological Measurement, 2022
Wollack et al. (2015) suggested the erasure detection index (EDI) for detecting fraudulent erasures for individual examinees. Wollack and Eckerly (2017) and Sinharay (2018) extended the index of Wollack et al. (2015) to suggest three EDIs for detecting fraudulent erasures at the aggregate or group level. This article follows up on the research of…
Descriptors: Cheating, Identification, Statistical Analysis, Testing
Di Liberto, Adriana; Casula, Laura; Pau, Sara – Education Economics, 2022
We study if the Italian school system suffers from gender bias when judging students. To this aim, we use a differences-in-differences approach that compares the teachers' assessments and the standardized test scores that the students receive during the school year. We have census data for all Italian fifth and sixth graders in two different…
Descriptors: Gender Bias, Outcomes of Education, Comparative Analysis, Teacher Characteristics
New York State Education Department, 2022
The instructions in this manual explain the responsibilities of school administrators for the New York State Testing Program (NYSTP) Grades 3-8 English Language Arts and Mathematics Field Tests, and the Elementary-level (Grade 5) and Intermediate-level (Grade 8) Science Field Tests. School administrators must be thoroughly familiar with the…
Descriptors: Testing Programs, Mathematics Tests, Test Format, Computer Assisted Testing
