Measuring incompleteness and not just right experiences: A psychometric evaluation of two commonly used questionnaires in OCD and anxiety disorders samples
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Extending previous research, this study examined the psychometric properties of two commonly used self-report measures of incompleteness (INC) and not-just-right experiences (NJREs), the Obsessive-Compulsive Trait Core Dimensions Questionnaire (OC-TCDQ; Summerfeldt et al., 2014) and the Not Just Right Experiences Questionnaire - Revised (NJRE-QR; Coles et al., 2003) in large samples of individuals with OCD and anxiety disorders. Factor analyses indicated adequate support for a two-factor solution for the OC-TCDQ and a one-factor solution for the NJRE-QR. Both measures demonstrated excellent internal consistency and good-to-excellent test-retest reliability. We found good convergent validity between the measures of interest and with an OCD symptom severity measure. Discriminant validity was evidenced by a significantly stronger correlation between INC and NJRE severity than the relatively modest correlations with theoretically distinct constructs (i.e., harm avoidance and general distress). Individuals with OCD had a similar number of NJREs as individuals with anxiety disorders but reported significantly greater NJRE distress and levels of INC. Finally, both measures were sensitive to change across group cognitive-behavioural therapy for OCD. These findings provide support for the reliability and validity of the OC-TCDQ and NJRE-QR to measure INC (trait) and NJRE (state) constructs that assist in understanding the phenomenology of OCD. • Assessed OC-TCDQ & NJRE-QR psychometrics in large OCD and anxiety disorders samples. • OC-TCDQ & NJRE-QR demonstrated good to excellent reliability and validity. • OC-TCDQ & NJRE-QR severity scores decreased with CBT, showing sensitivity to change. • OC-TCDQ & NJRE-QR are suitable measures of INC (trait) and NJRE (state) respectively.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it