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Zheng, Guoguo; Fancsali, Stephen E.; Ritter, Steven; Berman, Susan R. – Journal of Learning Analytics, 2019
If we wish to embed assessment for accountability within instruction, we need to better understand the relative contribution of different types of learner data to statistical models that predict scores and discrete achievement levels on assessments used for accountability purposes. The present work scales up and extends predictive models of math…
Descriptors: Formative Evaluation, Predictor Variables, Summative Evaluation, Scores
Bonnaig, Joy – ProQuest LLC, 2017
The purpose of this quantitative correlational research was to investigate to what extent 2007 performance of third grade students who had been retained in 2006 for failing to attain proficiency on the Reading and Mathematics Florida Comprehensive Assessment Test (FCAT) predicted their performance in 2010 on the sixth grade Reading and Mathematics…
Descriptors: Predictive Validity, Predictor Variables, Scores, Statistical Analysis
Alegrado, Alenamie; Winsler, Adam – Journal of Research in Music Education, 2020
Researchers attempting to show that music has positive effects on children need to understand and control for preexisting differences between those who do and do not select into musical participation in the first place. Within a large-scale, communitywide, prospective, longitudinal study of predominantly low-income, ethnically diverse students (N…
Descriptors: Music Education, Student Characteristics, Course Selection (Students), Elective Courses