What does an idiographic measure (PSYCHLOPS) tell us about the spectrum of psychological issues and scores on a nomothetic measure (CORE-OM)?
Bibliographic record
Abstract
Background: Psychological Outcome Profiles ('PSYCHLOPS') is a short, idiographic mental health outcome measure, designed for use in primary care. It has convergent validity with nomothetic measures. Aims: This study determined the proportion of issues elicited by PSYCHLOPS (idiographic) which do not appear in CORE-OM items (nomothetic). The study compared the issues reported on PSYCHLOPS by clients classified as cases and as non-cases on CORE-OM. Methods: The study population consisted of 215 clients referred for talking therapy in primary care. Thematic analysis was conducted to categorise the freetext responses of PSYCHLOPS. These themes were cross-checked against the items in CORE-OM. Pre-therapy CORE-OM scores were used to determine caseness and hence compare PSYCHLOPS themes by caseness. Results: PSYCHLOPS responses were coded into 61 different themes. 'Relationship problems' were the most frequent themes. Twenty-seven of the 61 (44%) themes were not covered by CORE-OM items; 128 (60%) clients reported at least one response which did not clearly map to a CORE-OM item. Sixty-six of the 215 (31%) clients were classified as non-cases and they showed no significant differences in theme frequency from the cases. Conclusions: Idiographic measures highlight the psychological concerns of clients presenting for therapy; many of these concerns did not feature on a nomothetic measure. By using both outcome measures, we have tried to capture diversity and demonstrate the multi-faceted nature of psychological distress rather than to standardise the assessment of outcome
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How this classification was reachedexpand
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 | 0.009 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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 teacher head, 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".