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Testing the Significance in Predictability Between Multiple Sets of Variables Differing in Number on Job Facet Satisfactions and Performance Rating of Supervisors and Technicians in a Large Public Utility Company

This study tests whether criteria variance in five job-facet satisfactions and performance rating explained by selected demographic and personality variables is significantly greater than by the selected demographic variables. This study offers a useful procedure for treating job-satisfaction data and predictor variables and measures the significance in predictability between criteria variance accounted for by variables not generally found in personnel files and those usually found there. It was found that job satisfactions and performance rating differ both in terms of predictability and functional relationships with Predictor Sets.

Identiferoai:union.ndltd.org:unt.edu/info:ark/67531/metadc935799
Date05 1900
CreatorsMilbourn, Eugene Frederick
ContributorsDunn, J. D., 1928-, Haynes, Jack R., Herman, H. A.
PublisherNorth Texas State University
Source SetsUniversity of North Texas
LanguageEnglish
Detected LanguageEnglish
TypeThesis or Dissertation
Formatviii, 109 leaves, Text
RightsPublic, Milbourn, Eugene Frederick, Copyright, Copyright is held by the author, unless otherwise noted. All rights

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