Can a general factor be derived from employees’ responses to items on the Individual Work Performance Review?

African Journal of Psychological Assessment

 
 
Field Value
 
Title Can a general factor be derived from employees’ responses to items on the Individual Work Performance Review?
 
Creator van Lill, Xander van der Vaart, Leoni
 
Subject Industrial psychology; Personnel psychology; Performance assessment general performance factor; generic performance; individual work performance; exploratory structural equation modelling; bifactor model; Individual Work Performance Review
Description This study aimed to investigate whether permissible inferences can be derived from employees’ standing on a general performance factor from their responses to the Individual Work Performance Review (IWPR) items. The performance of 448 employees was rated (by their managers) using the IWPR. Latent variable modelling was performed through a bifactor exploratory structural equation model with the robust version of the maximum likelihood estimator. The general factor’s score was also used to inspect correlations with two work performance correlates: tenure and job level. In line with international findings, the results suggested that a general factor could explain 65% of the common variance in the 80 items of the IWPR. Job level, but not tenure, correlated with general job performance. The results support calculating an overall score for performance, which might be a suitable criterion to differentiate top performers, conduct criterion validity studies, and calculate the return on investment of selection procedures or training programmes.Contribution: The present study provides initial evidence for a general factor influencing employees’ responses to items on a generic performance measure in South Africa. In addition, the study showcases the application of advanced statistical methods in factor analyses, demonstrating their efficacy in evaluating the psychometric properties of hierarchical factor models derived from data provided on performance measures.
 
Publisher AOSIS
 
Contributor Not applicable.
Date 2024-01-22
 
Type info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion — Cross-sectional, quantitative research design
Format text/html application/epub+zip text/xml application/pdf application/pdf
Identifier 10.4102/ajopa.v6i0.133
 
Source African Journal of Psychological Assessment; Vol 6 (2024); 11 pages 2617-2798 2707-1618
 
Language eng
 
Relation
The following web links (URLs) may trigger a file download or direct you to an alternative webpage to gain access to a publication file format of the published article:

https://ajopa.org/index.php/ajopa/article/view/133/452 https://ajopa.org/index.php/ajopa/article/view/133/453 https://ajopa.org/index.php/ajopa/article/view/133/454 https://ajopa.org/index.php/ajopa/article/view/133/456 https://ajopa.org/index.php/ajopa/article/view/133/455
 
Coverage Not applicable. Not applicable. Age: Mean = 38.77 year; Gender: Women = 249 and Men = 199; Ethnicity: white = 201, black African = 136, Indian = 81, Coloured (mixed ancestry) = 27
Rights Copyright (c) 2024 Xander van Lill, Leoni van der Vaart https://creativecommons.org/licenses/by/4.0
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