Analyzing social content of jobs : testing the social scale of functional job analysis

dc.contributor.committeeMemberHakel, Milton D.
dc.contributor.committeeMemberOsburn, Hobart G.
dc.contributor.committeeMemberJeanneret, Paul R.
dc.contributor.committeeMemberFrancis, David J.
dc.creatorMcCulloch, Malcolm C.
dc.description.abstractSocial interaction Is an integral facet In the general taxonomy of work behavior. This study assessed Functional Job Analysis's (FJA) Social Scale as a means to analyze social content of Jobs. Confirmatory factor analysis supported the plausibility of FJA's premise that social activity can be described by seven social constructs when conceptualized as a measurement model. However, confirmatory factor analysis could not support the FJA's premise that the seven social constructs measure social complexity when conceptualized as a second-order factor model. Further, the premise that the constructs are ordered hierarchically In a simplex structural model was not supported. In assessing the utilitarian value of FJA's Social Scale, stepwise regression found Its social constructs to be highly predictive (Rsq=.43) of Navy rank but showed low capability In predicting membership In Navy commands or duty stations. The plausibility of FJA social constructs offers new direction for Job analysis research.
dc.description.departmentPsychology, Department of
dc.format.digitalOriginreformatted digital
dc.rightsThis item is protected by copyright but is made available here under a claim of fair use (17 U.S.C. Section 107) for non-profit research and educational purposes. Users of this work assume the responsibility for determining copyright status prior to reusing, publishing, or reproducing this item for purposes other than what is allowed by fair use or other copyright exemptions. Any reuse of this item in excess of fair use or other copyright exemptions requires express permission of the copyright holder.
dc.subjectJob analysis
dc.titleAnalyzing social content of jobs : testing the social scale of functional job analysis
dc.type.genreThesis of Social Sciences, Department of of Houston of Arts


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