Investigating the construct validity of an electronic in-basket exercise using bias-corrected bootstrapping and Monte Carlo re-sampling techniques

SA Journal of Industrial Psychology

 
 
Field Value
 
Title Investigating the construct validity of an electronic in-basket exercise using bias-corrected bootstrapping and Monte Carlo re-sampling techniques
 
Creator Becker, Jurgen Meiring, Deon van der Westhuizen, Jan H.
 
Subject assessment centres; resampling Assessment centres; electronic in-basket; Monte Carlo; bias-corrected bootstrapping; small sample analyses; computer-based simulations.
Description Orientation: Technology-based simulation exercises are popular assessment measures for the selection and development of human resources.Research purpose: The primary goal of this study was to investigate the construct validity of an electronic in-basket exercise using computer-based simulation technology. The secondary goal of the study was to investigate how re-sampling techniques can be used to recover model parameters using small samples.Motivation for the study: Although computer-based simulations are becoming more popular in the applied context, relatively little is known about the construct validity of these measures.Research approach/design and method: A quantitative ex post facto correlational design was used in the current study with a convenience sample (N = 89). The internal structure of the simulation exercise was assessed using a confirmatory factor analytical approach. In addition, bias-corrected bootstrapping and Monte Carlo simulation strategies were used to assess the confidence intervals around model parameters.Main findings: Support was not found for the entire model, but only for one of the dimensions, namely, the Interaction dimension. Multicollinearity was found between most of the dimensions that were problematic for factor analyses.Practical/managerial implications: This study holds important implications for assessment practitioners who hope to develop unproctored simulation exercises.Contribution/value-add: This study aims to contribute to the existing debate regarding the validity and utility of assessment centres (ACs), as well as to the literature concerning the use of technology-driven ACs. In addition, the study aims to make a methodological contribution by demonstrating how re-sampling techniques can be used in small AC samples.
 
Publisher AOSIS
 
Contributor Dr Jürgen Reiner Becker, University of the Western Cape Prof Deon Meiring, University of Pretoria Mr Jan Hendrik van der Westhuizen, Experttech
Date 2019-09-26
 
Type info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion — Confirmatory Factor Analysis, Bootstrapping
Format text/html application/epub+zip text/xml application/pdf
Identifier 10.4102/sajip.v45i0.1582
 
Source SA Journal of Industrial Psychology; Vol 45 (2019); 17 pages 2071-0763 0258-5200
 
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://sajip.co.za/index.php/sajip/article/view/1582/2554 https://sajip.co.za/index.php/sajip/article/view/1582/2553 https://sajip.co.za/index.php/sajip/article/view/1582/2555 https://sajip.co.za/index.php/sajip/article/view/1582/2552
 
Coverage — — age; gender
Rights Copyright (c) 2019 Jurgen Becker, Deon Meiring, Jan H. van der Westhuizen https://creativecommons.org/licenses/by/4.0
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