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Roblyer, M. D.; Davis, Lloyd – Online Journal of Distance Learning Administration, 2008
Virtual schooling has the potential to offer K-12 students increased access to educational opportunities not available locally, but comparatively high dropout rates continue to be a problem, especially for the underserved students most in need of these opportunities. Creating and using prediction models to identify at-risk virtual learners, long a…
Descriptors: Prediction, Predictor Variables, Success, Virtual Classrooms
Cohn, Elchanan; Bird, Ronald – 1989
Data from the 1986 Current Population Survey (CPS) and a 1987 survey of public and private enterprises in Orangeburg, South Carolina, provide the basis for estimating a salary schedule for lead teachers in Orangeburg School District 5. The underlying rationale for the development of lead teacher positions is described in terms of salary gaps…
Descriptors: Elementary Secondary Education, Faculty Mobility, Information Utilization, Multiple Regression Analysis
Sawyer, Richard – 1984
The American College Testing (ACT) Program offers research services through which colleges can predict the freshman grades of their future students. This paper describes research done to establish a minimum sample size requirement for calculating least-squares prediction equations for college freshman grade average. Prediction equations were…
Descriptors: College Entrance Examinations, College Freshmen, Grade Point Average, Grade Prediction
Gastright, Joseph F. – 1974
An investigation was undertaken of the intercorrelations among residuals obtained by applying regression techniques under two conditions: (1) mean sixth-grade Metropolitan Achievement Test reading scores predicted by mean second-grade Stanford Achievement Test reading scores, and (2) mean sixth-grade reading scores predicted by mean second-grade…
Descriptors: Achievement Tests, Correlation, Elementary School Students, Longitudinal Studies
Novick, Melvin R.; And Others – 1971
The feasibility and effectiveness of a Bayesian method for estimating regressions in m groups is studied by application of the method to data from the Basic Research Service of The American College Testing Program. Evidence supports the belief that in many testing applications the collateral information obtained from each subset of m-1 colleges…
Descriptors: Academic Achievement, Bayesian Statistics, College Students, Colleges
Lord, Frederic M. – 1971
A numerical procedure is outlined for obtaining an interval estimate of a parameter in an empirical Bayes estimation problem. The case where each observed value x has a binomial distribution, conditional on a parameter zeta, is the only case considered. For each x, the parameter estimated is the expected value of zeta given x. The main purpose is…
Descriptors: Bayesian Statistics, Computer Programs, Expectation, Goodness of Fit
Peer reviewedCobas, Jose A. – Social Science Quarterly, 1978
Since the Bureau of Labor's cost-of-living statistics are available for only 40 standard metropolitan statistical areas (SMSAs) in four regions, the author presents a method to estimate family budgets for all SMSAs. Data for the calculations are easily accessible in Census and other government publications. (Author/KC)
Descriptors: Budgets, Cost Estimates, Family Income, Living Standards
Peer reviewedAbedi, Jamal; Benkin, Ellen – Research in Higher Education, 1987
Data from the National Research Council's Doctorate Records File extract prepared for UCLA indicated that source of support was the most important variable in predicting time to doctorate. Following source of support were postdoctoral plans, number of dependents, sex, and field of study. (Author/MLW)
Descriptors: College Students, Demography, Doctoral Degrees, Higher Education
Peer reviewedSmith, Richard L.; And Others – Educational and Psychological Measurement, 1992
Different approaches to defining suppression in multiple regression/correlation are compared, and their differences are illustrated. A test for determining the significance of a suppressor effect, which is based on the definition of suppression of W. F. Velicer, is extended to the general multiple predictor case and analysis of variance. (SLD)
Descriptors: Analysis of Variance, Comparative Analysis, Correlation, Definitions
Bernstein, Lawrence – 1990
Educational research on the factors of student achievement has been limited by its failure to consider the multilevel or hierarchical nature of most data. This study used a nonexperimental regression-based procedure, hierarchical linear modeling (HLM), to empirically develop a predictive model of fifth-grade achievement in reading and mathematics…
Descriptors: Academic Achievement, Data Analysis, Grade 5, Intermediate Grades
Monge, Peter R. – 1977
This paper examines the multivariate multiple regression model and explores its applicability to communication research. The first section discusses partitioning of a data matrix, as a heuristic device for distinguishing among alternative regression models. Section two examines various aspects of univariate multiple regression, including the form…
Descriptors: Communication (Thought Transfer), Educational Research, Error Patterns, Hypothesis Testing
Wilson, Barry; Hewett, Gilbert – 1981
The Cognitive Abilities Test (CAT) provides separate ability estimates organized into three components; verbal, quantitative and non-verbal. There is no composite score. An analysis of scores obtained on the CAT and the Iowa Tests of Basic Skills (ITBS) by a sample student population indicated that discrepancies of twenty points or more among the…
Descriptors: Academic Ability, Academic Achievement, Academic Aptitude, Achievement Tests
A Comparative Test of Locus on Control Measures and IQ as Predictors of Children's Task Performance.
LaVoie, Joseph C.; Adams, Gerald R. – 1975
In this study, locus of control and IQ were compared to assess the power of each as a predictor of performance on academic and non-academic tasks. Four locus of control scales: the Intellectual Achievement Responsibility Scale, the Academic Achievement Accountability Questionnaire, the Rotter I-E scale, the Origin-Pawn measure and the Iowa Tests…
Descriptors: Academic Achievement, Comparative Analysis, Elementary Education, Elementary School Students
Hersvall, R. M. – 1971
One descriptive and one experimental section are presented on prerequisites for learning to read by school beginners. The descriptive part is intended to validate various hypotheses concerning the predictive value of different variables related to reading and spelling ability. By an analysis of multiple regression it is shown that the best…
Descriptors: Early Childhood Education, Language Instruction, Learning Readiness, Multiple Regression Analysis
Peer reviewedKing, Suzanne; Wolfle, Lee M. – Research in Higher Education, 1987
A LISREL analysis demonstrates the value of regressing reputational ratings on three latent variables: size, faculty research productivity, and the quality of program graduates. The model was tested using National Research Council data for each of six disciplines: English, French, philosophy, geography, political science, and sociology.…
Descriptors: College Faculty, Doctoral Programs, Educational Quality, Graduate Study

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