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Examining the factor structure of participant reactions to training: A multidimensional approach
Author(s) -
Morgan Ronald B.,
Casper Wendy J.
Publication year - 2000
Publication title -
human resource development quarterly
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.756
H-Index - 65
eISSN - 1532-1096
pISSN - 1044-8004
DOI - 10.1002/1532-1096(200023)11:3<301::aid-hrdq7>3.0.co;2-p
Subject(s) - psychology , training (meteorology) , factor (programming language) , confirmatory factor analysis , applied psychology , structural equation modeling , computer science , machine learning , meteorology , programming language , physics
Increased understanding of the content of participant reactions to training is a necessary step in improving their construct validity and usefulness. This study examines the factor structure of a large database of participant reactions to training and explores the emergence of a utility factor. The results suggest that participant reactions are multidimensional and that utility judgments represent an underlying dimension. Treating reactions as unidimensional may mask their true relationship to other measures of training effectiveness. © 2000 by Jossey‐Bass, A Publishing Unit of John Wiley & Sons, Inc.