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Hazard, Francis E.; Danner, Charles H. – 1974
A need existed to develop a graphic procedure to predict student success in 2-year engineering technology programs, based on ACT scores and high school grades. The study stemmed from the need to help students identify their chances of success, to help students clarify their goals, and to indicate needed institutional responses. Regression analysis…
Descriptors: Academic Achievement, Correlation, Engineering Technology, Grade Prediction
Easterling, Ross E.; Stevens, Francis A. – 1972
The purpose of the study was to determine if measures of first grade readiness, scholastic aptitude, and reading achievement were significant predictors of reading achievement at the end of third grade for Mexican American students from 2 lower socioeconomic levels. Students (47 boys and 47 girls) who had completed their third year in the…
Descriptors: Academic Achievement, Bilingual Students, Grade 3, Literature Reviews
Milchus, Norman J. – 1971
The Wayne County Pre-Reading Program for Preventing Reading Failure is an individually, diagnostically prescribed, perceptual-cognitive-linguistic development program. The program utilizes the largest compilation of prescriptively coded, reading readiness materials to be assigned prior to and concurrent with first-year reading instruction. The…
Descriptors: Correlation, Diagnostic Teaching, Diagnostic Tests, Educational Diagnosis
Donnangelo, Frank P. – 1973
A stepwise multiple regression analysis was performed in order to explore the possibility of predicting the quality of a counselor's performance from the values of five predictor variables. The opportunity to make such predictions could prove useful to Deans of Students in making decisions concerning personnel deployment, in-service training,…
Descriptors: Counselor Evaluation, Counselor Performance, Counselors, Decision Making
Peer reviewed Peer reviewed
Lloyd, Dee Norman – Educational and Psychological Measurement, 1978
Background characteristics, school performance, and achievement test data were analyzed for 788 third-grade boys and 774 third-grade girls who were known later to have become high school dropouts or graduates. As early as the third grade a variety of variables were predictive of later status. (Author/JKS)
Descriptors: Dropout Characteristics, Dropouts, Elementary Secondary Education, Failure
Peer reviewed Peer reviewed
Julius, Marcia F.; Kaiser, Herbert E. – Journal of Veterinary Medical Education, 1978
A five-year longitudinal study was designed to find the best predictors of academic success in veterinary school at Kansas State University and to set up a multiple regression formula to be used in selecting students. The preveterinary grade point average was found to be the best predictor. (JMD)
Descriptors: Academic Achievement, College Admission, Grade Point Average, Higher Education
Peer reviewed Peer reviewed
Kean, Donald K.; And Others – Journal of Experimental Education, 1987
Two experiments examined the role that college students' verbal aptitude and evaluation anxiety play in the production of persuasive letters. Results showed that verbal aptitude should be considered when predicting the quality of students writing. Taking writing anxiety into account did not increase the predictive power of verbal aptitude scores.…
Descriptors: College Students, Higher Education, Multiple Regression Analysis, Persuasive Discourse
Peer reviewed Peer reviewed
Lawrence, William; Brown, Duane – Journal of Vocational Behavior, 1976
A multiple regression procedure was used to develop a further understanding of the relationship of self-concept, intelligence, socioeconomic status, race, and sex to career maturity as measured by the Career Maturity Inventory (CMI). Results further indicated that socioeconomic status and self-concept seem to have a differential effect upon career…
Descriptors: High School Students, Intelligence, Multiple Regression Analysis, Predictor Variables
Martinez, Daniel – 2001
This document discusses how community colleges often under-utilize collected student data. For example, community colleges use student pre-college assessment data to place students in specific courses. The paper suggests that student data can also be used to predict academic success (a grade of A, B, or C) in community college courses. Some of the…
Descriptors: Academic Achievement, Community Colleges, Discriminant Analysis, Educational Research
Peer reviewed Peer reviewed
Tucker, Jane W.; McGaghie, William C. – Evaluation and the Health Professions, 1982
Multiple regression processes are employed to assess the effect of student age on preclinical medical school achievement in the context of eight other predictor variables. Results indicate that student age fails to contribute to the explanation of preclinical achievement after the influence of the other variables is taken into account. (Author/CM)
Descriptors: Academic Achievement, Adults, Age, Grade Point Average
Peer reviewed Peer reviewed
Walsh, John; Winne, Philip H. – Journal of Educational Psychology, 1980
Data in Yarworth and Gauthier's article on student self- concept and participation in school activities (EJ 189 606) were reanalyzed by Walsh and Winne (TM 505 375). Yarworth and Gauthier's criticism of the reanalysis (TM 505 376) is answered. (GDC)
Descriptors: Extracurricular Activities, High Schools, Hypothesis Testing, Multiple Regression Analysis
Peer reviewed Peer reviewed
Igra, Amnon – Sociological Methods and Research, 1980
Three methods of estimating a model of school effects are compared: ordinary least squares; an approach based on the analysis of covariance; and, a residualized input-output approach. Results are presented using a matrix algebra formulation, and advantages of the first two methods are considered. (Author/GK)
Descriptors: Analysis of Covariance, Hypothesis Testing, Least Squares Statistics, Mathematical Models
Peer reviewed Peer reviewed
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
Holloway, Richard L.; Robinson, Beatrice – Improving Human Performance Quarterly, 1979
Used locus of control, ability, sex, task selection, task structure, and recall in a regression model to predict affective response to type of instruction of 104 high school seniors. Results showed a main effect for recall, and interaction effects for recall x sex and recall x ability. References are listed. (Author/JEG)
Descriptors: Affective Objectives, Educational Research, High School Students, Locus of Control
Davidson, Charles W.; Haffey, Patricia – Southern Journal of Educational Research, 1979
Among the variables considered, the best predictor of achievement in biology is the IQ of the students; the type of ninth-grade science course completed seems to have very little to do with subsequent performance in biology. (DS)
Descriptors: Academic Achievement, Biology, Grade 9, High School Students
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