Sexual Excitation/Sexual Inhibition Inventory (SESII-W/M): Adaptation and Validation Within a Portuguese Sample of Men and Women
Bibliographic record
Abstract
The SESII-W/M is a self-report measure assessing factors that inhibit and enhance sexual arousal in men and women. The goal of this study was to adapt and validate it in a sample of Portuguese men and women. A total of 1,723 heterosexual men and women participated through a web survey, with ages ranging from 18 to 72 years old (M = 36.05, SD = 11.93). The levels of internal consistency were considered satisfactory in the first four factors, but not in Setting and Dyadic Elements of the Sexual Interaction. Confirmatory factor analysis partially supported the six-factor, 30-item model, as factor loadings and squared multiple correlations pointed to problems with items mainly loading on those two factors. General fit indices were lower than the ones estimated by Milhausen, Graham, Sanders, Yarber, and Maitland (2010). Psychometric sensitivity and construct validity were adequate and gender differences were consistent with the original study. The six-factor, 30-item model was retained, but changes to the factors Setting and Dyadic Elements of the Sexual Interaction, and their corresponding items, were recommended in order to strengthen the measure.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".