Validation of the Interpersonal Exchange Model of Sexual Satisfaction Questionnaire in a Spanish Sample
Bibliographic record
Abstract
The Interpersonal Exchange Model of Sexual Satisfaction Questionnaire (IEMSSQ) contains a number of separate measures that, together, have been useful in enhancing understanding of sexual satisfaction because it is based on a validated theoretical framework and has good psychometric properties. The present study aimed to determine the psychometric properties of the IEMSSQ in a Spanish sample of 520 men and 701 women in a mixed-sex relationship. Participants completed Spanish translations of the IEMSSQ, the Index of Sexual Satisfaction, the Dyadic Adjustment Scale, and the Massachusetts General Hospital-Sexual Functioning Questionnaire. The results showed that the Spanish IEMSSQ has good psychometric properties. Internal consistency values were excellent. For the most part, test-retest reliabilities were good, except for the equality components, for which they were moderate. Consistent with predictions, the various subscales were correlated with scores on sexual satisfaction, dyadic adjustment, and sexual functioning, demonstrating good concurrent and convergent validity. The applicability of the IEMSSQ for use with Spanish speakers in clinical and research settings is discussed.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".