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AN APPLICATION OF THE THEORY OF NEURAL COMPUTATION TO THE PREDICTION OF WORKPLACE BEHAVIOR: AN ILLUSTRATION AND ASSESSMENT OF NETWORK ANALYSIS
Author(s) -
COLLINS JUDITH M.,
CLARK MURRAY R.
Publication year - 1993
Publication title -
personnel psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.076
H-Index - 142
eISSN - 1744-6570
pISSN - 0031-5826
DOI - 10.1111/j.1744-6570.1993.tb00882.x
Subject(s) - artificial neural network , warrant , psychology , field (mathematics) , cognition , artificial intelligence , multivariate statistics , computation , machine learning , cognitive psychology , computer science , mathematics , algorithm , neuroscience , financial economics , pure mathematics , economics
Data from two field studies were used to illustrate four applications of neural network analysis, a statistical information technology based on the psychological theories of learning and cognition. Overall results showed that cross‐validation multivariate correlations and correct classifications were greater for the neural networks than for the regression model standards of comparison. It was concluded that sufficient evidence exists to warrant further research of the newly developing neural network paradigm for use by personnel scientists and specialists.