Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 3 |
Descriptor
Comparative Analysis | 15 |
Multiple Regression Analysis | 15 |
Predictive Measurement | 15 |
Predictor Variables | 8 |
Higher Education | 4 |
Academic Achievement | 3 |
Mathematical Models | 3 |
Predictive Validity | 3 |
Achievement Tests | 2 |
Correlation | 2 |
Elementary Education | 2 |
More ▼ |
Source
Educational and Psychological… | 2 |
ProQuest LLC | 2 |
Journal of Educational… | 1 |
Journal of Medical Education | 1 |
Measurement in Physical… | 1 |
Author
Publication Type
Reports - Research | 6 |
Speeches/Meeting Papers | 6 |
Journal Articles | 3 |
Dissertations/Theses -… | 2 |
Reports - Evaluative | 2 |
Reports - Descriptive | 1 |
Education Level
Elementary Secondary Education | 1 |
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Location
California | 1 |
Illinois | 1 |
Maryland | 1 |
Texas | 1 |
Utah | 1 |
Laws, Policies, & Programs
Assessments and Surveys
College Board Achievement… | 1 |
Medical College Admission Test | 1 |
What Works Clearinghouse Rating
Deering, Pamela Rose – ProQuest LLC, 2014
This research compares and contrasts two approaches to predictive analysis of three years' of school district data to investigate relationships between student and teacher characteristics and math achievement as measured by the state-mandated Maryland School Assessment mathematics exam. The sample for the study consisted of 3,514 students taught…
Descriptors: Comparative Analysis, Multiple Regression Analysis, Hierarchical Linear Modeling, Mathematics Achievement
Mettler, James R. – ProQuest LLC, 2010
According to many higher education experts, merit scholarship screening methods discriminate against a disproportionate number of underrepresented minority (URM) students. The screening methods, however, favored individuals with the highest achievement test scores and above-average GPAs. The assumption in the common selection model is that test…
Descriptors: Academic Achievement, Competition, Achievement Tests, Merit Scholarships
Vehrs, Pat R.; George, James D.; Fellingham, Gilbert W.; Plowman, Sharon A.; Dustman-Allen, Kymberli – Measurement in Physical Education and Exercise Science, 2007
This study was designed to develop a single-stage submaximal treadmill jogging (TMJ) test to predict VO[subscript 2]max in fit adults. Participants (N = 400; men = 250 and women = 150), ages 18 to 40 years, successfully completed a maximal graded exercise test (GXT) at 1 of 3 laboratories to determine VO[subscript 2]max. The TMJ test was completed…
Descriptors: Metabolism, Body Composition, Physical Activities, Physical Fitness

Guthrie, John T. – Journal of Educational Research, 1972
Results of stepwise regression analyses of text characteristics on learning scores revealed that the same characteristics which predict comprehension also predict new learning. (Author/MB)
Descriptors: Comparative Analysis, Grade 6, Learning Processes, Multiple Regression Analysis
Fleishman, Allen I. – 1978
A Monte Carlo study was performed to test under what conditions and to what degree various alternatives would be superior to multiple linear regression (MLR). The criteria used was the mean squared error of prediction of individual scores and the mean squared error of estimation of the regression weights. Populations were simulated containing…
Descriptors: Comparative Analysis, Error of Measurement, Factor Analysis, Least Squares Statistics
Morris, John D. – 1978
Several advantages to the use of factor scores as independent variables in a multiple regression equation were found. To help select the most desirable type of factor score on which to calculate a regression equation, computer-based Monte Carlo methods were used to compare the predictive accuracy upon replication of regression of five…
Descriptors: Comparative Analysis, Correlation, Factor Analysis, Multiple Regression Analysis
Longuevan, Craig; Shoemaker, Judith – 1991
The Tutorial Assistance Program (TAP) of the University of California (Irvine) is described and a new method of evaluation is illustrated through an analysis of the performance of students in six large introductory classes. This approach to evaluation starts with a multiple regression equation for predicting course grades of those not in tutoring…
Descriptors: Comparative Analysis, Grade Point Average, Higher Education, Multiple Regression Analysis

Chissom, Brad S.; And Others – Educational and Psychological Measurement, 1972
Factors seem to indicate that the OQS could be effectively substituted for the NTE as a screening measure for graduate students in education. The D-48 was not added to the prediction equation, since it made a negligible contribution to the total prediction. (Authors/CB)
Descriptors: Comparative Analysis, Education Majors, Graduate Students, Measurement Instruments

Smith, 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
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

Schnittjer, Carl J. – 1972
The purpose of the study was to develop a linear programming model to be used for prediction, test the accuracy of the predictions, and compare the accuracy with that produced by curvilinear multiple regression analysis. (Author)
Descriptors: Comparative Analysis, Educational Administration, Graduate Students, Linear Programing

Donnelly, Michael; And Others – Journal of Medical Education, 1986
Multiple regression analyses were employed to determine the relationships between achievement variables as predictors of the performance on the National Board of Medical Examiners examinations of medical students. Score averages were added to a composite Medical College Admission Test to investigate the increases in prediction accuracy.…
Descriptors: College Entrance Examinations, Comparative Analysis, Data Analysis, Data Collection
Goodstein, H. A.; And Others – 1975
This report briefly summarizes the educational progress of a sample of children who took part in one of the earliest Head Start programs (1966). The report addresses the following questions: (1) Was participation in Head Start a factor in preventing retention in grade and/or special class placement? (2) Were there differences between Head Start…
Descriptors: Academic Achievement, Achievement Tests, Comparative Analysis, Elementary Education
Sanford, Timothy R. – 1981
The usefulness of equations to predict graduation from college was studied using data from the 1974 freshman class of a major research university. The following predictor variables were assessed using multiple regression and discriminant analyses: sex, race, residency, major, high school rank, high school size, Scholastic Aptitide Test scores, and…
Descriptors: Academic Persistence, Black Students, College Admission, College Applicants
Prather, James E. – 1981
A salary prediction model for college faculty that is used at Georgia State University was reviewed and tested using multiple regression analysis. Various model specifications, incorporating academic rank, academic discipline, and academic experience, including professional and personal background characteristics, are reviewed. Academic rank is an…
Descriptors: Academic Rank (Professional), College Faculty, Comparative Analysis, Departments