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Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – AERA Open, 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, Identification, Two Year College Students, Community Colleges
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Iverson, Geoffrey J.; Wagenmakers, Eric-Jan; Lee, Michael D. – Psychological Methods, 2010
The purpose of the recently proposed "p[subscript rep]" statistic is to estimate the probability of concurrence, that is, the probability that a replicate experiment yields an effect of the same sign (Killeen, 2005a). The influential journal "Psychological Science" endorses "p[subscript rep]" and recommends its use…
Descriptors: Effect Size, Evaluation Methods, Probability, Experiments
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Horowitz, Frances Degen; And Others – Monographs of the Society for Research in Child Development, 1978
Reviews issues of reliability (especially test-retest reliability) in newborn assessment, discusses predictive models based on newborn assessment, and presents information on modifications of the Brazelton Neonatal Behavioral Assessment Scale which may help in pursuing fruitful questions involving prediction of development. (Author/BH)
Descriptors: Child Development, Infant Behavior, Infants, Models
Greene, John F. – 1971
The major purpose of this study is to further the development of procedures which minimize current limitations of creativity instruments, thus yielding a reliable and functional means for assessing creativity. Computerized content analysis and multiple regression are employed to simulate the creativity ratings of trained judges. The computerized…
Descriptors: Behavioral Science Research, Computer Programs, Correlation, Creativity