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Pre-Veterinary Medical Grade Point Averages as Predictors of Academic Success in Veterinary College.
Peer reviewedJulius, 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 reviewedKean, 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 reviewedLawrence, 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 reviewedTucker, 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 reviewedWalsh, 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 reviewedIgra, 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 reviewedMorris, 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
Peer reviewedRowland-Morin, Pamela A.; Carroll, J. Gregory – Evaluation and the Health Professions, 1990
Five physicians were tape recorded during their initial interviews with 52 adult patients to quantify behaviors in physicians' initial interviewing style. Patients were asked to complete the Medical Interview Satisfaction Scale. Silences or reaction time latencies, reciprocity, and reflective use of interruptions were significantly correlated with…
Descriptors: Audiotape Recordings, Computer Assisted Testing, Conceptual Tempo, Interviews
Peer reviewedChrisjohn, Roland – Canadian Journal of Native Education, 1988
Comments on McShane and Plas' study relating Indian children's academic achievement gains to scores on psycholinguistic and intelligence tests. Questions the applicability of the instruments used, and points out problems related to multiple regression techniques, collinearity of predictor variables, and use of achievement gain scores. Contains 15…
Descriptors: Academic Achievement, Achievement Gains, American Indians, Children
Peer reviewedMorris, David C. – Journal of Educational Technology Systems, 1989
Discusses study that examined the relationship between age, education, sex, and household income, and attitudes toward computers. An eight-item Likert scale, which was developed to measure the attitudes (the Computer Orientation Scale) is described, and the findings are reported, i.e., age and education had direct effects on computer attitudes. (5…
Descriptors: Age, Attitude Measures, Attitudes, Computers
Peer reviewedCoplan, Robert J.; Barber, Ann M.; Lagace-Seguin, Daniel G. – Early Childhood Research Quarterly, 1999
The role of temperament was explored as a predictor of preschoolers' literacy and numeracy skills. Hierarchical regression analyses revealed that temperament contributed uniquely to the explanation of literacy and numeracy skills over and above well-established indicators of a child's academic achievement such as parent education, gender, and…
Descriptors: Basic Skills, Emergent Literacy, Literacy, Mathematics Skills
Bellini, Scott – Focus on Autism and Other Developmental Disabilities, 2006
The present study examined factors contributing to the development of social anxiety in adolescents with autism spectrum disorders (ASD). In particular, the study examined the contribution of social skill deficits and physiological hyperarousal to the development of social anxiety in individuals with ASD. Forty-one adolescents with…
Descriptors: Interpersonal Competence, Adolescents, Multiple Regression Analysis, Anxiety

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