Stop Interrupting Me! Examining the Relationship Between Interruptions, Test Performance and Reactions
Personnel Assessment and Decisions, Vol: 3, Issue: 1
2017
- 2,492Usage
- 8Captures
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.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
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
- Usage2,492
- Downloads2,021
- 2,021
- Abstract Views471
- Captures8
- Readers8
Article Description
Unproctored testing (UIT) is common, and mobile testing is increasing rapidly, which means applicants are completing assessments in a variety of test environments. Little is known about how differences in the test environment affect candidate test performance and reactions. This study examines interruptions in the UIT test environment to better understand what interruptions candidates are experiencing and how they influence candidate outcomes. The results show that candidates are being interrupted in a UIT context. Interrupted candidates scored lower on test performance and reported less favorable applicant reactions. Interruptions happen and they do matter. Implications for organizations and practitioners are discussed.
Bibliographic Details
http://scholarworks.bgsu.edu/pad/vol3/iss1/2/; http://dx.doi.org/10.25035/pad.2017.002; https://scholarworks.bgsu.edu/pad/vol3/iss1/2; https://scholarworks.bgsu.edu/cgi/viewcontent.cgi?article=1024&context=pad; https://dx.doi.org/10.25035/pad.2017.002; https://scholarworks.bgsu.edu/pad/vol3/iss1/2/
Bowling Green State University Libraries
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know