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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Ghassabei, Shiwa Afifi, Walid A. Afifi, Tamara Petrowski, Katja |
| Abstract | Background Uncertainty is a widespread phenomenon experienced worldwide. The bulk of existing research to date has focused on transitory or acute experiences of uncertainty, often in the particular context of illness. The current study evaluated the psychometric properties of the cross-contextual 40-item (long) and 20-item (short) Chronic Uncertainty scale (CU-40; CU-20). Methods A U.S. sample of 1083 participants (55% female) was recruited via Mechanical Turk (MTurk). Exploratory factor analysis revealed a six-factor model. Results Results of the Confirmatory factor analysis showed good model fit for the original and a slightly better model fit for the modified version of the CU-40 and CU-20. Slightly different item-to-factor attributions were suggested for the questionnaires. Internal consistencies were good for both models. Conclusion The evidence suggests that the CU scale offers psychometrically sound assessments of chronic uncertainty across a range of dimensions. Further assessments and implementations of the CU in different contexts using diverse samples are encouraged to test the efficacy of the CU measures as screening tools of general aspects of chronic uncertainty. |
| Related Links | https://bmcpsychology.biomedcentral.com/counter/pdf/10.1186/s40359-024-02206-6.pdf |
| Ending Page | 14 |
| Page Count | 14 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 20507283 |
| DOI | 10.1186/s40359-024-02206-6 |
| Journal | BMC Psychology |
| Issue Number | 1 |
| Volume Number | 12 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2024-11-27 |
| Access Restriction | Open |
| Subject Keyword | Psychology Research Clinical Psychology Cognitive Psychology Chronic uncertainty Exploratory factor analysis Confirmatory factor analysis Psychometric properties |
| Content Type | Text |
| Resource Type | Article |
| Subject | Medicine Psychology |
| Journal Impact Factor | 2.7/2023 |
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