Twenty factors identified through a factor analysis of a 102-item biographical inventory were used as predictors in a multiple regression equation to predict on-the-job performance (supervisory ratings) of oil field employees. This yielded a multiple R of .41. A total of 295 subjects participated in the study. Cross-validation yielded a correlation coefficient of .06. The t-test analyses of the factor means of equipment operators and field mechanics proved that two factors could discriminate between the groups, Mechanical Experience (p<.01) and Social Orientation (p<.05).
The results of this study indicate that conducting a factor analysis of unvalidated biographical items and attempting to predict performance would be less appropriate than factor analyzing predictive items to gain an understanding of their underlying dimensions.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc504263 |
| Date | 05 1900 |
| Creators | Germany, Patrick J. |
| Contributors | Johnson, Douglas A., Peek, Leon A., Houck, Robert L. |
| Publisher | North Texas State University |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | iv, 33 leaves, Text |
| Rights | Public, Germany, Patrick J., Copyright, Copyright is held by the author, unless otherwise noted. All rights reserved. |
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