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| Journal of Experimental… | 5 |
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Peer reviewedDunham, Randall B.; Kravetz, Dennis J. – Journal of Experimental Education, 1975
Descriptors: Correlation, Criteria, Data Analysis, Predictor Variables
Peer reviewedHuberty, Carl J. – Journal of Experimental Education, 1975
An empirical comparison is made of three proposed indices of relative predictor variable contribution: (1) the scaled weights of the first discriminant function; (2) the total group estimates of the correlations between each predictor variable and the first function; and (3) the within-groups estimates of the correlations between each predictor…
Descriptors: Correlation, Data Analysis, Discriminant Analysis, Educational Research
Peer reviewedGrobe, Cary H.; MacDonald, Ian S. – Journal of Experimental Education, 1975
The purpose of this investigation was to determine the contribution of factors such as: (1) high school science background; (2) interest in geology; (3) teacher characteristics; and (4) geology course background to performance on a measure of geology achievement. (Author)
Descriptors: Academic Achievement, Course Content, Data Analysis, Geology
Peer reviewedSharon, Amiel T. – Journal of Experimental Education, 1972
The remedial course had no effect on student satisfaction and persistence but a modest effect on subsequent course performance. The experimental methodology described can provide the college researcher with a basis for determining whether there is a need to revise or eliminate current remdial courses. (Author)
Descriptors: College Students, Course Evaluation, Data Analysis, English
Peer reviewedEvans, Charles S. – Journal of Experimental Education, 1982
A linear regression model was used to test the relationship between the knowledge of Kohlberg's theory and moral stage development. A multiple regression analysis was used to test the multivariate relationship between one dependent and five independent variables. Neither analysis demonstrated a statistically significant relationship. (Author/PN)
Descriptors: Academic Achievement, Age, Data Analysis, Developmental Stages


