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Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
Northwest Evaluation Association, 2014
Recently, Northwest Evaluation Association (NWEA) completed a study to connect the scale of the Minnesota Comprehensive Assessments (MCA) Testing Program used for Minnesota's mathematics and reading assessments with NWEA's RIT (Rasch Unit) scale. Information from the state assessments was used in a study to establish performance-level scores on…
Descriptors: Alignment (Education), Testing Programs, State Programs, Mathematics Tests
Northwest Evaluation Association, 2014
Recently, the Northwest Evaluation Association (NWEA) completed a study to connect the scale of the North Carolina State End of Grade (EOG) Testing Program used for North Carolina's mathematics and reading assessments with NWEA's Rausch Interval Unit (RIT) scale. Information from the state assessments was used in a study to establish…
Descriptors: Alignment (Education), Testing Programs, Equated Scores, Standard Setting
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Kitmitto, Sami; Bandeira de Mello, Victor – National Center for Education Statistics, 2008
This report examines the relationship between various characteristics of students with disabilities and the probability that they would participate in the NAEP assessments, given the current methods of accommodation adopted by their state. The report describes the methodological approach which calculates for each state an expected inclusion rate…
Descriptors: Disabilities, Student Participation, Student Characteristics, National Competency Tests