This article is a Preprint
Preprints are preliminary research reports that have not been certified by peer review. They should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Preprints posted online allow authors to receive rapid feedback and the entire scientific community can appraise the work for themselves and respond appropriately. Those comments are posted alongside the preprints for anyone to read them and serve as a post publication assessment.
Measuring Intolerance of Uncertainty after Acquired Brain Injury. Part 1: The Factor Structure of the Intolerance of Uncertainty Scale-12 (preprint)
psyarxiv; 2022.
Preprint
in English
| PREPRINT-PSYARXIV | ID: ppzbmed-10.31234.osf.io.bgrc7
ABSTRACT
Intolerance of uncertainty (IU) is a risk factor for poor mental health. Acquired brain injury (ABI), such as stroke or traumatic brain injury, often brings considerable uncertainty. This is the first of a two-part investigation of the psychometric properties of the Intolerance of Uncertainty Scale-12 (IUS-12) in ABI. Here, we evaluate its internal consistency and factor structure in 176 adults with ABI. A two-factor structure (Prospective Anxiety and Inhibitory Anxiety) was superior to a one-factor model. However, some fit statistics were unacceptable. In an exploratory factor analysis, a new two-factor model emerged with a superior fit. A bifactor model provided even better fit, though the sample size precluded exhaustive evaluation. For now, retaining the original Prospective Anxiety and Inhibitory Anxiety subscales is recommended for ABI. IUS-12 scores did not differ pre- or during COVID-19 assessment, suggesting the IUS-12 is measuring individual differences regardless of uncertainty levels.
Full text:
Available
Collection:
Preprints
Database:
PREPRINT-PSYARXIV
Main subject:
Anxiety Disorders
/
Brain Diseases
/
Brain Injuries
/
Stroke
/
COVID-19
Language:
English
Year:
2022
Document Type:
Preprint
Similar
MEDLINE
...
LILACS
LIS