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SOME FURTHER IDEAS ON A METHODOLOGY FOR DETERMINING JOB SIMILARITIES/ DIFFERENCES
Author(s) -
LISSITZ ROBERT W.,
MENDOZA JORGE L.,
HUBERTY CARL J.,
MARKOS HAL V.
Publication year - 1979
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.1744-6570.1979.tb02150.x
Subject(s) - univariate , variance (accounting) , multivariate analysis of variance , multivariate statistics , psychology , multivariate analysis , linear discriminant analysis , index (typography) , job analysis , statistics , extension (predicate logic) , econometrics , computer science , social psychology , mathematics , job satisfaction , accounting , world wide web , business , programming language
This paper considers the general problem of analyzing data for job similarities/differences. Cluster analysis and univariate analysis of variance, which are recent suggestions for attacking this problem, are briefly reviewed. The suggestion made in this paper is to use multivariate analysis of variance, accompanied by a multivariate extension of the well known proportion of variance index, ω 2 . Discriminant analysis and related techniques are suggested to provide information regarding specific hypotheses. The potential users are provided with the references to well known computer packages that allow all the analyses to be performed easily, rapidly, and accurately on their own data. Appropriate interpretations of each result are also indicated, and illustrated with an example.