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Kannan, Priya; Sgammato, Adrienne – ETS Research Report Series, 2017
Logistic regression (LR)-based methods have become increasingly popular for predicting and articulating cut scores. However, the precision of predictive relationships is largely dependent on the underlying correlations between the predictor and the criterion. In two simulation studies, we evaluated the impact of varying the underlying grade-level…
Descriptors: Regression (Statistics), Cutting Scores, Prediction, Accuracy
Chen, Junjun; Cowie, Bronwen – Educational Practice and Theory, 2016
This study investigated the responses of 531 preservice teachers to a "Beliefs About Assessment" questionnaire in China. The questionnaire focused on understanding the purposes, practices and principles of assessment for and of learning. Using factor analysis, an inter-correlated two-order model fitted well to the responses. This model…
Descriptors: Preservice Teachers, Student Attitudes, Foreign Countries, Questionnaires
Lock, Leonard K.; Kraska, Marie – Studies in Higher Education, 2015
The study was based upon surveying colleges/schools of education with graduate programs from the "US News and World Report" "Best Education Schools 2011" (N = 89). Results indicated that greatest time was spent on data collection, data management, and compilation; while least time was focused on instrument technical…
Descriptors: Work Experience, College Faculty, Management Systems, Graduate Study
Chatman, Steve – Center for Studies in Higher Education, 2007
The University of California's census survey of undergraduates, UCUES [University of California Undergraduate Experience Survey], presents an opportunity to measure both disciplinary and institutional differences in students' academic experience. Results from nearly 60,000 responses (38% response rate) from the 2006 administration found greater…
Descriptors: Majors (Students), Higher Education, Intellectual Disciplines, Multivariate Analysis

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