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Cognitive potential and job complexity as predictors of flow.

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dc.contributor.author Percival, G.
dc.contributor.author Crous, F.
dc.contributor.author Schepers, J.M.
dc.date.accessioned 2008-10-08T09:39:29Z
dc.date.available 2008-10-08T09:39:29Z
dc.date.issued 2003
dc.identifier.citation 29(2), 60-71. en
dc.identifier.uri http://hdl.handle.net/10210/1096
dc.description.abstract The purpose of this study was to establish the extent to which flow can be predicted by the cognitive potential of the incumbent and the complexity of the work he/she performs. The sample consisted of 161 participants from a telecommunications company. The Flow Experience Survey (FES) was adapted and administered to the respondents. The Initial Recruitment Interview Schedule (IRIS) was used to measure capability and the Matrix of Working Relationships was used to measure job complexity. The FES and IRIS scales were subjected to factor analysis. An item analysis was also performed on the FES to determine the reliability of the instrument. There was a statistically significant relationship between capability and job complexity, but these variables did not relate to the flow experience. The implications of these findings are discussed. en
dc.language.iso en en
dc.publisher SA Journal of Industrial Psychology en
dc.rights Complies with the rights as specified by the publisher: http://www.sajip.co.za/ & Copyright University of Johannesburg en
dc.subject Job complexity en
dc.subject Capability en
dc.subject Work flow en
dc.subject Flow experience survey en
dc.title Cognitive potential and job complexity as predictors of flow. en
dc.type Article en

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