Seeking certainty about intolerance of uncertainty: Addressing old and new issues through the Intolerance of Uncertainty Scale-Revised
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Intolerance of Uncertainty is a trans-diagnostic process that spans a range of emotional disorders and it is usually measured through the Intolerance of Uncertainty Scale-12. The current study aims at investigating some issues in the assessment of Intolerance of Uncertainty (IU) through the Italian Intolerance of Uncertainty Scale-Revised, a measure adapted from the Intolerance of Uncertainty Scale-12 to assess IU across the lifespan. In particular we address the factor structure among a large community sample, measurement invariance across gender, age, and over time, together with reliability and validity of the overall scale and its subscales. The questionnaire was administered to community (N = 761; mean age = 35.86 ± 14.01 years) and undergraduate (N = 163; mean age = 21.16 ± 2.64 years) participants, together with other self-report measures assessing constructs theoretically related to IU. The application of a bifactor model shows that the Italian Intolerance of Uncertainty Scale-Revised possesses a robust general factor, thus supporting the use of the unit-weighted total score of the questionnaire as a measure of the construct. Furthermore, measurement invariance across gender, age, and over time is supported. Finally, the Italian Intolerance of Uncertainty Scale-Revised appears to possess adequate reliability and validity. These findings support the unidimensionality of the measure, a conceptually reasonable result in line with the trans-diagnostic nature of Intolerance of Uncertainty. In addition, this study and comparison with published factor structures of the Intolerance of Uncertainty Scale-12 and of the Intolerance of Uncertainty Scale-Revised identify some issues for the internal structure of the measure. In particular, concern is expressed for the Prospective IU subscale. In light of the promising psychometric properties, the use of the Italian Intolerance of Uncertainty Scale-Revised as a univocal measure is encouraged in both research and clinical practice.
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The mean level of intolerance to uncertainty in the sample (32.16) was significantly above the pre-pandemic Italian mean (26.73) reported by Bottesi et al. (Z = 17.6; p < 0.01).
“The mean level of intolerance to uncertainty (M = 32.16; SD = 9.59), instead, was significantly above the mean score found by Bottesi et al. [43] before the COVID-19 pandemic in the Italian context (M = 26.73; SD = 8.2; Z = 17.6; p < 0.01).”
From Impact of Stress during COVID-19 Pandemic in Italy: A Study on Dispositional and Behavioral Dimensions for Supporting Evidence-Based Targeted Strategies (2024) · cites this paper as Bottesi et al. [43]
The Participants and procedure section describes an Italian community sample whose data were collected in 2012–2017, supporting the pre-pandemic Italian context. The retrieved passages do not report an intolerance-of-uncertainty mean of 26.73 or SD of 8.2, so the numerical baseline attributed to Bottesi et al. is not verified. The comparison with the citing paper’s sample and its Z statistic are the citing authors’ analysis, not a result attributed to Bottesi et al. (LLM, conf=0.76)
Experimental — accuracy not yet measuredThe IUS is best represented by the total score (IUS-12 item), rather than the subscales (i.e., P-IU or I-IU).
“Such findings support prior work suggesting that the IUS is best represented by the total score (IUS-12 item), rather than the subscales (i.e., P-IU or I-IU) (42,77).”
From I Doubt It Is Safe: A Meta-analysis of Self-reported Intolerance of Uncertainty and Threat Extinction Training (2021) · cites this paper as [42]
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BackgroundIntolerance of uncertainty heightens negative emotional states and dampens positive emotional states
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“The Italian version of the Intolerance of Uncertainty Scale—Revised (IUS-R) [43] has been administered to assess intolerance to uncertainty, which refers to a set of negative beliefs about uncertainty and its consequences; it is thought to play a key role in the development and maintenance of…”
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- Authors
- Bottesi, G., Noventa, S., Freeston, M. H., & Ghisi, M.
- Affiliations
- University of Padua (IT)
- University of Tübingen (DE)
- Newcastle University (GB)
- Corresponding author
- Bottesi, Gioia
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2019-02-11
- Volume
- 14
- Issue
- 2
- Pages
- e0211929
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC6370219
- OpenAlex
- W2913615924
- Cited by
- 132
- References
- 104
- Citations by year
- 2026: 11 · 2025: 19 · 2024: 16 · 2023: 22 · 2022: 25 · 2021: 24 · 2020: 11 · 2019: 4
- FWCI
- 18.87
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Padua Research Archive (University of Padova) (submittedVersion, cc-by)
- Newcastle University ePrints (Newcastle Univesity) (cc-by)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- intolerance of uncertainty, psychometric properties, factor structure, bifactor model, measurement invariance, reliability and validity, Italian adaptation, community sample, undergraduate students
- MeSH terms
- Adult, Female, Humans, Male, Middle Aged, Models, Psychological, Psychometrics, Surveys and Questionnaires, Uncertainty, Self Report
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