Proposed Specifiers for Conduct Disorder (PSCD): Preliminary validation of the parent version in a Spanish sample of preschoolers.
Bibliographic record
Abstract
The Proposed Specifiers for Conduct Disorder (PSCD) scale (Salekin & Hare, 2016) was developed as a measure of the broader construct of psychopathy in childhood and adolescence. In addition to conduct disorder (CD) symptoms, the PSCD addresses the interpersonal (grandiose-manipulative), affective (callous-unemotional), and lifestyle (daring-impulsive) traits of psychopathic personality. The PSCD can be scored by parents and teachers. The present study is a preliminary test of the psychometric properties of the PSCD-Parent Version in a sample of 2,229 children aged 3 to 6 years. Confirmatory factor analyses supported both a 3- and 4-factor structure being invariant across gender groups. The validity of the PSCD was also supported by convergent-divergent associations with an alternative measure of psychopathic traits as well as by the expected relations with fearlessness, conduct problems, reactive and proactive aggression, attention-deficit hyperactivity disorder and oppositional defiant disorder symptoms, and social competence skills. Overall, the PSCD is a promising alternative measure for assessing early manifestation of the broader construct of psychopathy in children. Its use should facilitate discussion of the conceptualization, assessment, predictive value, and clinical usefulness of the psychopathic construct as it relates to CD at early developmental stages. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.005 | 0.001 |
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".