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Prediction of Job Performance from Factorially Determined Dimensions of Biographical Data

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.

Identiferoai:union.ndltd.org:unt.edu/info:ark/67531/metadc504263
Date05 1900
CreatorsGermany, Patrick J.
ContributorsJohnson, Douglas A., Peek, Leon A., Houck, Robert L.
PublisherNorth Texas State University
Source SetsUniversity of North Texas
LanguageEnglish
Detected LanguageEnglish
TypeThesis or Dissertation
Formativ, 33 leaves, Text
RightsPublic, Germany, Patrick J., Copyright, Copyright is held by the author, unless otherwise noted. All rights reserved.

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