Validity and reliability of the short version of the Problematic Pornography Consumption Scale (PPCS-6-A) in adolescents.
Bibliographic record
Abstract
OBJECTIVE: Despite the high prevalence of adolescents' pornography use and increasing societal concerns about it, the examination of problematic pornography use (PPU) among this population is still scarce, potentially due to the lack of well-validated, reliable measures. The aims of the present study were to validate a short, theory-based measure of PPU in a diverse sample of adolescents and identify a potentially at-risk problematic pornography user group. METHOD: = 0.6) who reported lifetime pornography use, collected as part of an ongoing longitudinal study on adolescents' sexual health. To examine the psychometric properties of the short, six-item version of the Problematic Pornography Consumption Scale for adolescents (PPCS-6-A), we conducted confirmatory factor analysis, gender and sexual orientation measurement invariance testing, and assessed theoretically relevant correlates (e.g., masturbation frequency). We conducted latent profile analysis to identify adolescents at risk of PPU. RESULTS: The PPCS-6-A demonstrated strong psychometric properties in terms of factor structure, measurement invariance (i.e., boys vs. girls, and heterosexual vs. sexual minority adolescents), and reliability, and correlated reasonably with the assessed variables. Ten percent of participants were identified as being at-risk of PPU. CONCLUSIONS: The PPCS-6-A can be considered a short, reliable, and valid scale to assess PPU in adolescents, and may distinguish between low-risk and at-risk problematic users. Its use in future studies could lead to a better understanding of the prevalence and characteristics of adolescents' PPU. (PsycInfo Database Record (c) 2021 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 | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".