Psychometric properties of the Spanish version of the Psychopathy Checklist: Youth Version
Bibliographic record
Abstract
Abstract The current study examined the psychometric properties (factor structure, reliability and validity) of the Psychopathy Checklist: Youth Version (PCL:YV; Forth et al., 2003) in Spanish samples of male justice-involved youths between 15 and 22-years old. The PCL:YV was administered to two groups of youths who were incarcerated ( n = 62; n = 95) and a sample of youth on probation ( n = 122). Confirmatory factor analyses showed acceptable-to-good fit for three- and four-factor models. The four-factor hierarchical model with a second-order higher factor representing the whole psychopathy construct was considered for further analyses. PCL:YV scores showed high internal consistency and inter-rater reliability. Low-to-moderate convergence with other measures of psychopathic traits evinced an adequate convergent validity. Convergent and discriminant validity of the PCL:YV total scores were also confirmed considering several measures of psychopathology and personality traits. Importantly, the differential external correlates of the PCL:YV factors provide support for a multidimensional conceptualization of the psychopathy construct. Altogether, these results reveal adequate psychometric properties of the PCL:YV in Spanish population of justice-involved youths and justifies its use to assess psychopathic traits in this kind of populations.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".