The Validity and Incremental Validity of Knowledge Tests, Low-Fidelity Simulations, and High-Fidelity Simulations for Predicting Job Performance in Advanced-Level High-Stakes Selection
Journal of Applied Psychology, ISSN: 0021-9010, Vol: 96, Issue: 5, Page: 927-940
2011
- 145Citations
- 1,829Usage
- 375Captures
- 2Mentions
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations145
- Citation Indexes139
- 139
- CrossRef124
- Policy Citations6
- 6
- Usage1,829
- Downloads1,743
- 1,743
- Abstract Views86
- Captures375
- Readers375
- 375
- Mentions2
- Blog Mentions1
- Blog1
- News Mentions1
- 1
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Article Description
In high-stakes selection among candidates with considerable domain-specific knowledge and experience, investigations of whether high-fidelity simulations (assessment centers; ACs) have incremental validity over low-fidelity simulations (situational judgment tests; SJTs) are lacking. Therefore, this article integrates research on the validity of knowledge tests, low-fidelity simulations, and high-fidelity simulations in advanced-level high-stakes settings. A model and hypotheses of how these 3 predictors work in combination to predict job performance were developed. In a sample of 196 applicants, all 3 predictors were significantly related to job performance. Both the SJT and the AC had incremental validity over the knowledge test. Moreover, the AC had incremental validity over the SJT. Model tests showed that the SJT fully mediated the effects of declarative knowledge on job performance, whereas the AC partially mediated the effects of the SJT. © 2011 American Psychological Association.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=80052828201&origin=inward; http://dx.doi.org/10.1037/a0023496; http://www.ncbi.nlm.nih.gov/pubmed/21480685; https://doi.apa.org/doi/10.1037/a0023496; https://ink.library.smu.edu.sg/lkcsb_research/5514; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=6513&context=lkcsb_research; https://dx.doi.org/10.1037/a0023496; https://doi.apa.org:443/doiLanding?doi=10.1037/a0023496
American Psychological Association (APA)
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