The Intolerance of Uncertainty Scale for Children: A psychometric evaluation.
Bibliographic record
Abstract
Intolerance of uncertainty (IU) has contributed to our understanding of excessive worry and adult anxiety disorders, but there is a paucity of research on IU in child samples. This gap is due to the absence of a psychometrically sound measure of IU in youth. The present study adapted parallel child- and parent-report forms of the Intolerance of Uncertainty Scale (IUS) and examined the internal consistency, convergent validity, and classification properties of these forms in youth aged 7-17 (M = 11.6 years, SD = 2.6). Participating youth (N = 197; 100 girls, 97 boys) either met diagnostic criteria for an anxiety disorder (n = 73) or were nonreferred community participants (n = 124). The child-report form (i.e., IUS for Children, or IUSC), and to a lesser extent the parent-report form, demonstrated strong internal consistency and convergent validity, evidenced by significant associations with anxiety and worry (and reassurance-seeking in the case of the child-report form). Children diagnosed with anxiety disorders scored higher than nonreferred community youth on both forms. Receiver operating characteristic (ROC) analysis demonstrated acceptable overall utility in distinguishing the 2 groups of youth. Findings provide preliminary support for use of the IUSC for continuous measurement of children's ability to tolerate uncertainty.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".