The Dutch DAPP-BQ: Improvements, Lower- and Higher-Order Dimensions, and Relationship with the 5DPT
Bibliographic record
Abstract
After modifying 53 items in a previous Dutch translation of the Dimensional Assessment of Personality Pathology-Basic Questionnaire (DAPP-BQ; Livesley & Jackson, 2002), the present DAPP-BQ scales (with or without Self-Harm included) were subjected to a principal components analysis with oblimin or varimax rotation in a general population sample of 478 subjects, retaining four factors. All four (higherorder) factors (Emotional Dysregulation, Dissocial, Inhibition, and Compulsivity) proved identical to the factors originally derived in Canada, with Tucker coefficients of factor similarity approaching unity. Particularly the (unexpected) finding that the present Dutch version of the DAPP-BQ also resulted in an Inhibition factor (and not, like the former Dutch version, in an Intimacy Problems factor) was considered positive. In addition, a principal components analysis with oblimin rotation was conducted on the 282 items contained in the 18 DAPP-BQ scales, investigating the lower-order structure of the DAPP-BQ; in this case, 18 factors were retained. Although the structure originally derived by Livesley and colleagues could not be recovered completely, the degree of similarity was of such a magnitude that the 18 DAPP-BQ scales were considered to give a dependable account of the "true" lower-order structure of disordered personality. Moreover, based on the finding that the 18 scales are sufficiently reliable (Cronbach's alpha) and correlate as predicted in a subsample of 284 subjects with the normal personality scales of Van Kampen's 5DPT (or, Five-Dimensional Personality Test), the DAPP-BQ appears to be a valuable instrument.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.004 | 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".