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Liziwe Nzama
EDCON
South Africa

MA (INDUSTRIAL PSYCHOLOGY), UNISA

Marie de Beer
UNISA
South Africa

Department of Industrial and Organisational Psychology

Delene Visser
UNISA
South Africa

Department of Industrial and Organisational Psychology PHD (PSYCHOLOGY), UNISA

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Bedryfsielkunde Burnout Consumer awareness Faktorstruktuur Job demands Job insecurity Job performance Locus of control Lokus van beheer Psychology Sense of coherence Takseersentrum burnout construct validity engagement job satisfaction qualitative research reliability sense of coherence stress well-being
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Home > Vol 34, No 3 (2008) > Nzama

Predicting work Performance through selection interview ratings and Psychological assessment

Liziwe Nzama, Marie de Beer, Delene Visser

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, fve broad dimensions of personality defned 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 Profle (CPP). Work performance was measured through annual performance ratings that focused on measurable outputs of performance objectives. Only two predictor variables correlated statistically signifcantly with the criterion variable, namely interview ratings (r = 0.31) and CPP Verbal Abstraction (r = 0.34). Following multiple regression, only these variables contributed signifcantly to predicting work performance, but only 17.8% of the variance of the criterion was accounted for.

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The international standard serial numbers:
ISSN: 0258-5200 (Print)
ISSN: 2071-0768 (Online)
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