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Predicting learner performance in the clothing industry
Author(s)
Dale, Gilbert John
Date Issued
2010
Type
Thesis
Publisher
Cape Peninsula University of Technology
Abstract
The aim of the research is to determine the predictive relationship between mental
alertness, personality traits, psychomotor ability and learner performance, in the
selection of clothing industry learners. A concurrent validity study is described in
which 213 learners were given an assessment battery and assessed on their
learning performance and work performance. The psychometric assessment battery
measured the domains of mental alertness, personality traits and psychomotor ability
in a four-hour session. A combination of paper-and-pencil and practical sewing work
assessments were used to assess learner performance. The domain learner
performance comprised the assessment scores for the learnership’s theoretical and
practical modules. The work performance domain was measured by supervisor
appraised work-quality and work-quantity. The assessment domains were then
examined for their potential to predict work performance. Linear multiple regression
equations reported R2 = 0,3266 for work performance.
alertness, personality traits, psychomotor ability and learner performance, in the
selection of clothing industry learners. A concurrent validity study is described in
which 213 learners were given an assessment battery and assessed on their
learning performance and work performance. The psychometric assessment battery
measured the domains of mental alertness, personality traits and psychomotor ability
in a four-hour session. A combination of paper-and-pencil and practical sewing work
assessments were used to assess learner performance. The domain learner
performance comprised the assessment scores for the learnership’s theoretical and
practical modules. The work performance domain was measured by supervisor
appraised work-quality and work-quantity. The assessment domains were then
examined for their potential to predict work performance. Linear multiple regression
equations reported R2 = 0,3266 for work performance.
Additional information
Thesis (DTech (Business)--Cape Peninsula University of Technology, 2010
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