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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
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
Tighe, Elizabeth L.; Spencer, Mercedes; Schatschneider, Christopher – Reading Psychology, 2015
This study rank ordered the contributive importance of several predictors of listening comprehension for third, seventh, and tenth graders. Principal components analyses revealed that a three-factor solution with fluency, reasoning, and working memory components provided the best fit across grade levels. Dominance analyses indicated that fluency…
Descriptors: Predictor Variables, Listening Comprehension, Grade 3, Grade 7
Stanley, Nile; Stanley, Laurel – Reading Psychology, 2011
Multiple regression analysis indicates that the Reading-Level Indicator, a paper-and-pencil test, is a moderately strong predictor for the high-stakes standardized test, the Florida Comprehensive Achievement Test in Reading. Classroom teachers can administer the inexpensive Reading-Level Indicator in a short period of time and use the results as a…
Descriptors: Standardized Tests, High Stakes Tests, Achievement Tests, Multiple Regression Analysis