Psychomotor ability and learning potential as predictors of driver and machine operator performance in a road construction company

The changing nature of work and its competitive characteristics are global phenomena and are mainly fuelled by ongoing technological advancement. This creates unique challenges for talent attraction and the retention of high performing individuals. In addition, the global workforce is becoming more...

Full description

Bibliographic Details
Main Author: Olivier, Louis Petrus
Other Authors: De Beer, Marie
Format: Others
Language:en
Published: 2015
Subjects:
Online Access:Olivier, Louis Petrus (2015) Psychomotor ability and learning potential as predictors of driver and machine operator performance in a road construction company, University of South Africa, Pretoria, <http://hdl.handle.net/10500/19687>
http://hdl.handle.net/10500/19687
id ndltd-netd.ac.za-oai-union.ndltd.org-unisa-oai-umkn-dsp01.int.unisa.ac.za-10500-19687
record_format oai_dc
spelling ndltd-netd.ac.za-oai-union.ndltd.org-unisa-oai-umkn-dsp01.int.unisa.ac.za-10500-196872016-04-16T04:08:56Z Psychomotor ability and learning potential as predictors of driver and machine operator performance in a road construction company Olivier, Louis Petrus De Beer, Marie Psychomotor ability Learning potential Work performance Intelligence Dynamic assessment Cognitive ability Cognitive assessment Vienna Test System (VTS) Transfer-Automisation-and- Memory (TRAM) Psychometric test 153.946257 Learning ability -- Testing Perceptual-motor learning Psychological tests Motor ability -- Testing Vienna Test System The changing nature of work and its competitive characteristics are global phenomena and are mainly fuelled by ongoing technological advancement. This creates unique challenges for talent attraction and the retention of high performing individuals. In addition, the global workforce is becoming more diverse due to demographic, societal and cultural changes and companies are placing greater demands on employee competency and performance. Managing the human factor as a strategic asset in organisations remains a primary challenge in securing a competitive advantage. The road construction industry in South Africa is no different. There is growing competition between civil engineering contractors to secure tenders and to maximise profitability. This is only possible with a sufficient and sustainable labour force. Valid selection processes are therefore required to ensure that the most productive individuals are selected for the most suitable jobs. Reliable and valid performance predictors will assist employers in making appropriate selection decisions. Selecting high performing individuals will support and enhance overall organisational performance. ix In this study the investigation focused on whether psychomotor ability and learning potential are statistically significant predictors of work performance - with specific reference to drivers and machine operators in a road construction company. A quantitative approach was followed to investigate the relationships between variables, or then the prediction of one dependent variable (driver and machine operator performance) by means of two independent variables (psychomotor ability and learning potential). Results from the study did not indicate any statistically significant relationships between the variables. Only scientifically validated assessment instruments were used in the study - which means the findings led to a renewed focus on the importance of performance measurement and the psychometric quality (reliability and validity) of performance data. Industrial and Organisational Psychology M.A. (Industrial and Organisational Psychology) 2015-11-16T10:14:12Z 2015-11-16T10:14:12Z 2015-06 Dissertation Olivier, Louis Petrus (2015) Psychomotor ability and learning potential as predictors of driver and machine operator performance in a road construction company, University of South Africa, Pretoria, <http://hdl.handle.net/10500/19687> http://hdl.handle.net/10500/19687 en 1 online resource (ix, 190 leaves)
collection NDLTD
language en
format Others
sources NDLTD
topic Psychomotor ability
Learning potential
Work performance
Intelligence
Dynamic assessment
Cognitive ability
Cognitive assessment
Vienna Test System (VTS)
Transfer-Automisation-and- Memory (TRAM)
Psychometric test
153.946257
Learning ability -- Testing
Perceptual-motor learning
Psychological tests
Motor ability -- Testing
Vienna Test System
spellingShingle Psychomotor ability
Learning potential
Work performance
Intelligence
Dynamic assessment
Cognitive ability
Cognitive assessment
Vienna Test System (VTS)
Transfer-Automisation-and- Memory (TRAM)
Psychometric test
153.946257
Learning ability -- Testing
Perceptual-motor learning
Psychological tests
Motor ability -- Testing
Vienna Test System
Olivier, Louis Petrus
Psychomotor ability and learning potential as predictors of driver and machine operator performance in a road construction company
description The changing nature of work and its competitive characteristics are global phenomena and are mainly fuelled by ongoing technological advancement. This creates unique challenges for talent attraction and the retention of high performing individuals. In addition, the global workforce is becoming more diverse due to demographic, societal and cultural changes and companies are placing greater demands on employee competency and performance. Managing the human factor as a strategic asset in organisations remains a primary challenge in securing a competitive advantage. The road construction industry in South Africa is no different. There is growing competition between civil engineering contractors to secure tenders and to maximise profitability. This is only possible with a sufficient and sustainable labour force. Valid selection processes are therefore required to ensure that the most productive individuals are selected for the most suitable jobs. Reliable and valid performance predictors will assist employers in making appropriate selection decisions. Selecting high performing individuals will support and enhance overall organisational performance. ix In this study the investigation focused on whether psychomotor ability and learning potential are statistically significant predictors of work performance - with specific reference to drivers and machine operators in a road construction company. A quantitative approach was followed to investigate the relationships between variables, or then the prediction of one dependent variable (driver and machine operator performance) by means of two independent variables (psychomotor ability and learning potential). Results from the study did not indicate any statistically significant relationships between the variables. Only scientifically validated assessment instruments were used in the study - which means the findings led to a renewed focus on the importance of performance measurement and the psychometric quality (reliability and validity) of performance data. === Industrial and Organisational Psychology === M.A. (Industrial and Organisational Psychology)
author2 De Beer, Marie
author_facet De Beer, Marie
Olivier, Louis Petrus
author Olivier, Louis Petrus
author_sort Olivier, Louis Petrus
title Psychomotor ability and learning potential as predictors of driver and machine operator performance in a road construction company
title_short Psychomotor ability and learning potential as predictors of driver and machine operator performance in a road construction company
title_full Psychomotor ability and learning potential as predictors of driver and machine operator performance in a road construction company
title_fullStr Psychomotor ability and learning potential as predictors of driver and machine operator performance in a road construction company
title_full_unstemmed Psychomotor ability and learning potential as predictors of driver and machine operator performance in a road construction company
title_sort psychomotor ability and learning potential as predictors of driver and machine operator performance in a road construction company
publishDate 2015
url Olivier, Louis Petrus (2015) Psychomotor ability and learning potential as predictors of driver and machine operator performance in a road construction company, University of South Africa, Pretoria, <http://hdl.handle.net/10500/19687>
http://hdl.handle.net/10500/19687
work_keys_str_mv AT olivierlouispetrus psychomotorabilityandlearningpotentialaspredictorsofdriverandmachineoperatorperformanceinaroadconstructioncompany
_version_ 1718225659577237504