Article ; Online: Predictive validity of a selection instrument measuring resilience: The INSPIRE resilience scale.
2021 Volume 36, Issue 1, Page(s) 58–68
Abstract: Military personnel needs to be resilient to be able to remain effective, motivated, and in good mental and physical health. Military organizations select on resilience to determine whether candidates are psychologically fit for their job. The INSPIRE ... ...
Abstract | Military personnel needs to be resilient to be able to remain effective, motivated, and in good mental and physical health. Military organizations select on resilience to determine whether candidates are psychologically fit for their job. The INSPIRE Resilience Scale (IRS) is such a selection instrument that aims to assess the psychological resilience potential of candidates in high-risk professions. A longitudinal predictive validity study was conducted in five European Defense organizations and in the Dutch National Police. The IRS was submitted in selection (N = 11,404), and criterion data about performance and health were collected in the second half of the first training year (N = 726). The results based on correlational and regression analyses showed that the IRS scores significantly predicted the criterion measures. Emotional stability, part of the IRS, turned out to be the best predictor. Results also showed that candidates who dropped out of training had significantly lower means on the IRS in selection than candidates who were still in training in the second half of the first training year. Overall, the IRS proved to be a valid instrument to assess resilience potential in candidates for high-risk professions. Selecting on resilience may therefore contribute to training success and reduction of health problems. |
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MeSH term(s) | Humans ; Resilience, Psychological ; Emotions ; Ethnicity ; Military Personnel ; Police |
Language | English |
Publishing date | 2021-10-28 |
Publishing country | United States |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 2021130-2 |
ISSN | 1532-7876 ; 0899-5605 |
ISSN (online) | 1532-7876 |
ISSN | 0899-5605 |
DOI | 10.1080/08995605.2021.1968290 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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