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Hackett, Daniel A.; Davies, Timothy B.; Ibel, Denis; Cobley, Stephen; Sanders, Ross – Measurement in Physical Education and Exercise Science, 2018
This study examined the predictive ability of the medicine ball chest throw and vertical jump for muscular strength and power in adolescents. One hundred and ninety adolescents participated in this study. Participants performed trials of the medicine ball chest throw and vertical jump, with vertical jump peak power calculated via an estimation…
Descriptors: Predictive Measurement, Muscular Strength, Adolescents, Age Differences
Austin, Bruce; French, Brian; Adesope, Olusola; Gotch, Chad – Journal of Experimental Education, 2017
Measures of variability are successfully used in predictive modeling in research areas outside of education. This study examined how standard deviations can be used to address research questions not easily addressed using traditional measures such as group means based on index variables. Student survey data were obtained from the Organisation for…
Descriptors: Predictor Variables, Models, Predictive Measurement, Statistical Analysis
Downes, Beverley – Australian University, 1976
A Model predicts a student's academic performance in his first year in a particular department at a university. It uses an aggregate selection score based on aggregate results obtained at a public examination along with a measure of the student's ability in one or more specific subjects or areas relevant to the department. (LBH)
Descriptors: Academic Achievement, Admission (School), College Freshmen, Foreign Countries
Peer reviewedShah, Chandra; Burke, Gerald – Higher Education, 1999
A Markov chain is used to model the movement of undergraduates through the higher education system in Australia. Given the student's age on commencing a course of study, the model provides estimates of the probability of course completion, mean time for completion, and mean time spent in the higher education system. (Author/MSE)
Descriptors: Academic Persistence, Age, College Students, Enrollment Management

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