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Predictors of Retention and Achievement in a Massive Open Online Course
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Greene, Jeffrey A.; Oswald, Christopher A.; Pomerantz, Jeffrey – American Educational Research Journal, 2015
Massive open online courses (MOOCs) have been heralded as an education revolution, but they suffer from low retention, calling into question their viability as a means of promoting education for all. In addition, numerous gaps remain in the research literature, particularly concerning predictors of retention and achievement. In this study, we used…
Descriptors: Online Courses, Predictor Variables, School Holding Power, Academic Achievement
A New Explanation for Students' Course Evaluation Tendencies
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Granzin, Kent L.; Painter, John J. – American Educational Research Journal, 1973
Authors discovered significant correlations between couse ratings and variables representing commitment and course-end attitudes toward the course; conclusions suggested steps an instructor might take to improve his ratings.'' (Authors)
Descriptors: Course Evaluation, Multiple Regression Analysis, Predictive Validity, Predictor Variables
Moderator Subgroups and Bayesian m-Group Regression: Some Further Comments
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Schoenfeldt, Lyle F.; Lissitz, Robert W. – American Educational Research Journal, 1974
(See also TM 501 087, TM 501 088, TM 501 090.)
Descriptors: Bayesian Statistics, Models, Multiple Regression Analysis, Prediction
Moderator Subgroups and Bayesian m-Group Regression: Some Concluding Remarks
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Novick, Melvin R. – American Educational Research Journal, 1974
(See also TM 501 087, TM 501 088, and TM 501 089.)
Descriptors: Bayesian Statistics, Models, Multiple Regression Analysis, Prediction
Moderator Subgroups for the Estimation of Educational Performance: A Comparison of Prediction Models
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Lissitz, Robert W.; Schoenfeldt, Lyle F. – American Educational Research Journal, 1974
The purpose of this study was to compare five predictor models, including two least-square procedures, two probability weighting (semi-Bayesian) methods, and a Bayesian model developed by Lindley. (See also TM 501 088, TM 501 089, and TM 501 090) (Author/NE)
Descriptors: Bayesian Statistics, College Freshmen, Models, Multiple Regression Analysis
Further Cross-Validation Analysis of the Bayesian m-Group Regression Method
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Novick, Melvin R.; Jackson, Paul H. – American Educational Research Journal, 1974
(See also TM 501 087, TM 501 089 and TM 501 090.)
Descriptors: Bayesian Statistics, Models, Multiple Regression Analysis, Prediction
A Comparison of Regression Prediction Accuracy on Several Types of Factor Scores.
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Morris, John D. – American Educational Research Journal, 1979
Computer-based Monte Carlo methods compared the predictive accuracy upon replication of regression of five complete and four incomplete factor score estimation methods. Prediction on incomplete factor scores showed better double cross-validated prediction accuracy than on complete scores. The unique unit-weighted factor score was superior among…
Descriptors: Correlation, Factor Analysis, Monte Carlo Methods, Multiple Regression Analysis
Factors Affecting Students' Evaluations of the Same Course by the Same Instructor on Different Occasions.
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Marsh, Herbert W. – American Educational Research Journal, 1982
Differences in ratings of the same instructor teaching the same course on two different occasions are related to differences in background characteristics: (1) higher levels of workload/difficulty, (2) higher expected grades, and (3) instructor experience. (PN)
Descriptors: Analysis of Variance, Difficulty Level, Educational Environment, Higher Education
Special Education and Social Structure: The Commonality of "Exceptionality".
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Gelb, Steven A.; Mizokawa, Donald T. – American Educational Research Journal, 1986
The relationship between 13 demographic social variables and the numbers of students placed in four objective and four subjective special education classifications for one school year was examined using 50 states and Washington, DC. None of the objective, but two of the subjective classifications were strongly associated with socioeconomic…
Descriptors: Corporal Punishment, Correlation, Disability Identification, Elementary Secondary Education
Preschool Intervention, School Success and Delinquency in a High-Risk Sample of Youth.
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Farnworth, Margaret; And Others – American Educational Research Journal, 1985
Using multiple regression analysis, the associations of delinquency with IQ and achievement scores, general school success, school attachment, preschool intervention and gender were explored for a group of high-risk Black students. Findings are discussed in terms of Hirschi's social bonding theories and early schooling effects on adolescent life…
Descriptors: Academic Achievement, Attachment Behavior, Black Students, Delinquency