Please use this identifier to cite or link to this item: https://etd.cput.ac.za/handle/20.500.11838/2041
DC FieldValueLanguage
dc.contributor.advisorBallard, H.H., Prof-
dc.contributor.advisorDavies, S., Prof-
dc.contributor.advisorCilliers, F., Dr-
dc.contributor.authorDale, Gilbert John-
dc.date.accessioned2012-08-27T09:14:21Z-
dc.date.accessioned2016-09-07T11:38:57Z-
dc.date.available2012-08-27T09:14:21Z-
dc.date.available2016-09-07T11:38:57Z-
dc.date.issued2010-
dc.identifier.urihttp://hdl.handle.net/20.500.11838/2041-
dc.descriptionThesis (DTech (Business)--Cape Peninsula University of Technology, 2010-
dc.description.abstractThe 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.-
dc.language.isoen-
dc.publisherCape Peninsula University of Technologyen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/za/-
dc.subjectClothing trade -- Western Capeen_US
dc.subjectEducation -- South Africa -- Evaluationen_US
dc.titlePredicting learner performance in the clothing industry-
dc.typeThesis-
Appears in Collections:Business Administration - Doctoral Degree
Files in This Item:
File Description SizeFormat 
30002842_Dale_Gilbert_ J_DTech_2010.pdfThesis1.51 MBAdobe PDFThumbnail
View/Open
Show simple item record

Page view(s)

2,074
Last Week
1,544
Last month
1,544
checked on Feb 16, 2022

Download(s)

1,224
checked on Feb 16, 2022

Google ScholarTM

Check


This item is licensed under a Creative Commons License Creative Commons