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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
Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 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, Higher Education, Predictive Measurement, Models
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Bauer, Daniel J.; Preacher, Kristopher J.; Gil, Karen M. – Psychological Methods, 2006
The authors propose new procedures for evaluating direct, indirect, and total effects in multilevel models when all relevant variables are measured at Level 1 and all effects are random. Formulas are provided for the mean and variance of the indirect and total effects and for the sampling variances of the average indirect and total effects.…
Descriptors: Testing, Models, Sampling, Context Effect
Convey, John J. – 1975
The capability was studied of each of three models for producing indices that will reproduce school effectiveness rankings established a priori through simulation. The models used were a within-group regression technique, a regression model using individual scores, and a regression model using means. Data for 54 hypothetical schools on input, SES,…
Descriptors: Comparative Analysis, Correlation, Models, Predictor Variables
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Howell-White, Sandra; Gaboda, Dorothy; Rosato, Nancy Scotto; Lucas, Judith A. – Gerontologist, 2006
Purpose: This research provides state policy makers and others interested in developing needs-based reimbursement models for Medicaid-funded assisted living with an evaluation of different methodologies that affect the structure and outcomes of these models. Design and Methods: We used assessment data from Medicaid-enrolled assisted living…
Descriptors: Models, Statistical Analysis, Individual Characteristics, Health Services
Lorton, Paul, Jr.; Searle, Barbara W. – 1976
A linear regression model was used to select items from a pool of 700 arithmetic word problems to be used in a computer-assisted mathematics curriculum for elementary school students. The experimental procedure first involved a stepwise linear regression analysis of a student's performance over a set of 25 problems. The probability correct for…
Descriptors: Computer Assisted Instruction, Computer Oriented Programs, Correlation, Elementary School Mathematics
Reder, Stephen; Edmonston, Barry – 2000
Anticipated demographic changes in the United States adult population in the decade between the National Adult Literacy Survey (NALS) of 1992 and the National Assessment of Adult Literacy (NAAL), which is scheduled for 2002, were reviewed. Next, the implications of those changes for the NALS and NAAL were analyzed. The analysis focused on births,…
Descriptors: Adult Basic Education, Adult Literacy, Agency Role, Aging (Individuals)