Accurately Assessing Gay Men’s Erectile Functioning: A Critique of the International Index of Erectile Function (IIEF) Use with Gay Men
Bibliographic record
Abstract
The International Index of Erectile Functioning (IIEF) has been widely used to measure gay men's erectile functioning. However, the IIEF was initially developed using a sample of men whose sexual orientation was unspecified. Using scales not validated for specific populations can result in inaccurate assessments. The purpose of the current study was to evaluate the dimensionality, reliability, and validity of the IIEF with a large sample of gay men. One thousand and eighteen men self-identifying as "exclusively gay" completed an online survey consisting of demographics, the IIEF, the Hospital Anxiety and Depression Scale (HADS), the Perceived Stress Scale 4 (PSS4), and the Gay Male Sexual Difficulties (GMSD) erectile difficulties sub-scale. The replicability of the IIEF factor structure with a gay male sample was determined using exploratory and confirmatory factor analyses. Additionally, the HADS, PSS4, and GMSD were used to determine the validity of the IIEF. The current study was unable to replicate the IIEF factor structure. Four items required deletion and the factor solution differed from the original. Thus, reinterpretation of the latent variables was deemed necessary. Although the resultant 12-item IIEF evidenced model fit, validity, and reliability, it is not recommended for use with gay men. The revised IIEF is unable to accurately measure gay men's erectile functioning as the content of the items fail to capture their sexual behaviors (i.e., insertive and receptive anal sex).
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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 | 0.076 | 0.155 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.005 |
| 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".