Psychometric Properties of the Premarital Sexual Permissiveness Scale of Reiss (PSP)
Bibliographic record
Abstract
Sexuality is a very important issue in the life of a person and society. Issues such as premarital sexual permissiveness are necessary to understand because it is related to having a flexible attitude towards sexual practices regardless of the emotional bond. Therefore, this research seeks to explore the psychometric properties of the scale of premarital sexual permissiveness of Reiss (PSP) in a group of high school students. In this sense the study offers evidence of validity and reliability of the PSP translated for a Peruvian sample. Regarding the methodology, the research is of psychometric and technological type; the scale of premarital sexual permissiveness of Reiss (PSP) was used with the participation of 1013 female students of national schools of Lima of the last years of the regular basic education; a non-probabilistic type sampling was used - by judgment. Evidence of content validity was found through the criteria of judges, through the V. of Aiken with acceptable values p>0.80; construct validity was evaluated with the Confirmatory Factor Analysis obtaining an X2/gl=2.697, GFI=0.985, CFI=0.982, AGFI=0.973, SRMR=0. 0312 and the reliability was found by Cronbach's Alpha coefficient=0.801 and Omega=0.804; these results indicate that the PSP scale can be used efficiently in a Peruvian sample to evaluate autonomy and acceptability on premarital sexual permissiveness because it has all the required psychometric properties.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 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) | 0.002 | 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 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".