Models of job performance ratings: An examination of ratee race, ratee gender, and rater level effects
Human Performance, ISSN: 0895-9285, Vol: 9, Issue: 2, Page: 103-119
1996
- 47Citations
- 55Usage
- 44Captures
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.
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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
- Citations47
- Citation Indexes46
- 46
- CrossRef39
- Academic Citation Index (ACI) - airiti1
- Policy Citations1
- Policy Citation1
- Usage55
- Abstract Views55
- Captures44
- Readers44
- 44
Article Description
This research extends the work of Hunter (1983) and Borman, White, Pulakos, and Oppler (1991) on models of supervisory performance ratings. A rating model that included measures of cognitive ability, practical intelligence, job knowledge, task proficiency, achievement orientation, and performance ratings was proposed and evaluated. A major purpose of this research was to evaluate the fit of the proposed model for different race and gender subgroups as well as for peer and supervisor raters. The models were tested on a sample of 456 professionals in a large government agency. Overall, results of the LISREL analyses showed no statistically significant differences in the fit of the model for the different race or gender subgroups examined. Significant differences in the fit of the model and variance accounted for in the peer versus supervisor groups were observed.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=2842587208&origin=inward; http://dx.doi.org/10.1207/s15327043hup0902_1; http://www.tandfonline.com/doi/abs/10.1207/s15327043hup0902_1; https://ink.library.smu.edu.sg/soss_research/234; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1233&context=soss_research
Informa UK Limited
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