Multiple Regression Analysis of Six Predictor Variables of Academic Achievement in the Course Introduction to Research [microform] / Robert F. Noble.
The purpose of this research was to determine, through multiple regression analysis, the strength of the relationship of each of six predictor variables (undergraduate major, undergraduate grade-point average (GPA), graduate major, graduate GPA, Graduate Record Examinations (GRE) Quantitative score,...
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| Format: | Microfilm Book |
| Language: | English |
| Published: |
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1986.
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| Summary: | The purpose of this research was to determine, through multiple regression analysis, the strength of the relationship of each of six predictor variables (undergraduate major, undergraduate grade-point average (GPA), graduate major, graduate GPA, Graduate Record Examinations (GRE) Quantitative score, and GRE Verbal score) to academic achievement (in numerical form) in an introductory research course. The following conclusions were made: (1) of the six predictor variables, the strongest predictor of the final grade in the course was the cumulative graduate GPA of the student; (2) second in predictive power, but of considerably lesser strength, was the GRE Qualitative scale; (3) the undergraduate GPA and GRE Verbal scale appeared to be of little added predictive value; (4) the undergraduate major of the graduate student has little or no value in predicting the outcome grade in the introductory research course. (Author/JAZ) |
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| Item Description: | ERIC Note: Paper presented at the Annual Meeting of the American Educational Research Association (67th, San Francisco, CA, April 16-20, 1986). ERIC Document Number: ED274678. |
| Physical Description: | 12 p. |
| Audience: | Researchers. |
| Reproduction Note: | Microfiche. |
| Action Note: | committed to retain |