Validation of the Interpersonal Exchange Model of Sexual Satisfaction With Women in a Same-Sex Relationship
Bibliographic record
Abstract
We examined the validity of the interpersonal exchange model of sexual satisfaction for sexual-minority women (SMW) with a range of sexual identities (lesbian, bisexual, queer, unlabeled, questioning). Participants, 898 (192 who were dating, 439 who were cohabitating) SMW in a romantic relationship of at least 3 months, completed an online survey that included the Interpersonal Exchange Model of Sexual Satisfaction Questionnaire. The results provide support for the validity of the model for SMW in that all the model components (relationship satisfaction, balance of sexual rewards and costs, balance of relative sexual rewards and costs, equality of rewards, equality of costs) were significantly associated with sexual satisfaction. All of the components, except equality of sexual costs, contributed uniquely to the prediction of sexual satisfaction. Neither relationship stage (dating vs. cohabiting) nor sexual identity (lesbian vs. other sexual-minority identity) moderated these associations. Women daters reported a significantly higher level of sexual rewards, sexual costs, and sexual satisfaction than did women cohabiters. The interpersonal exchange model may be used by clinicians as a framework for exploring experiences of low sexual satisfaction with a couple. The results also add to an emerging positive picture of the sexual relationships of SMW at both stages; this information can be used to counter negative stereotypes. Online supplemental files are available at http://journals.sagepub.com/doi/suppl/10.1177/0361684316679655 .
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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 | 0.011 | 0.031 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".