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Predicting work performance through selection interview ratings and psychological assessment

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dc.contributor.author De Beer, Marie
dc.contributor.author Nzama, Liziwe
dc.contributor.author Visser, Delene
dc.date.accessioned 2009-03-25T14:54:01Z
dc.date.available 2009-03-25T14:54:01Z
dc.date.issued 2008
dc.identifier.other http://www.sajip.co.za/index.php/sajip/article/view/750/796
dc.identifier.uri http://hdl.handle.net/10500/126
dc.description.abstract The aim of the study was to establish whether selection interviews used in conjunction with psychological assessments of personality traits and cognitive functioning contribute to predicting work performance. The sample consisted of 102 managers who were appointed recently in a retail organisation. The independent variables were selection interview ratings obtained on the basis of structured competency-based interview schedules by interviewing panels, five broad dimensions of personality defined by the Five Factor Model as measured by the 15 Factor Questionnaire (15FQ+), and cognitive processing variables (current level of work, potential level of work, and 12 processing competencies) measured by the Cognitive Process Profile (CPP). Work performance was measured through annual performance ratings that focused on measurable outputs of performance objectives. Only two predictor variables correlated statistically significantly with the criterion variable, namely interview ratings (r = 0.31) and CPP Verbal Abstraction (r = 0.34). Following multiple regression, only these variables contributed significantly to predicting work performance, but only 17.8% of the variance of the criterion was accounted for. en_US
dc.language.iso en en_US
dc.publisher Open Journals Publishing en_US
dc.relation.ispartofseries South African Journal of Industrial Psychology en_US
dc.relation.ispartofseries 34(3) en_US
dc.subject Work performance en_US
dc.subject Prediction en_US
dc.subject Selection interviews en_US
dc.subject Psychological assessment en_US
dc.title Predicting work performance through selection interview ratings and psychological assessment en_US
dc.type Article en_US


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