Stigmatizing attitudes towards people living with HIV/AIDS: validation of a measurement scale
Bibliographic record
Abstract
BACKGROUND: Although stigmatization has long been recognized as a major obstacle to HIV prevention. The lack of a valid and reliable measurement tool for stigmatization is a major gap in the research. This study aimed to: 1) develop a scale of stigmatizing attitudes towards people living with HIV (SAT-PLWHA-S) and 2) demonstrate its reliability and validity. METHODS: French and English-speaking experts (n = 21) from different professional communities (academics, practitioners) assessed the clarity and relevance of the proposed items. The psychometric properties of the SAT-PLWHA-S were assessed with a random digit dial population based telephone survey (n = 1,500) of respondents in Quebec, Canada. Analyses included exploratory and confirmatory factor analyses, correlations, multiple linear regressions, t-tests, hypothesis testing of factorial structure invariance, and Cronbach's alpha. RESULTS: Confirmatory factor analysis (CFA) supported a 27-item structure with seven factors: 1) concerns about occasional encounters; 2) avoidance of personal contact; 3) responsibility and blame, 4) liberalism, 5) non-discrimination, 6) confidentiality of seropositive status, and 7) criminalization of HIV transmission. Cronbach's alphas indicate satisfactory internal consistency. An assessment of concurrent validity using Pearson's correlation and multiple linear regression shows that homophobia and HIV transmission knowledge are significant determinants of stigmatizing attitudes toward PLHIV. Discriminant validity (t-test) results suggest that the SAT-PLWHA-S can differentiate attitudes between different groups and indicates invariant factor structure across language. CONCLUSIONS: The results of this study suggest that the SAT-PLWHA-S is a reliable and valid tool for measuring stigmatizing attitudes toward PLHIV and that it can contribute to a deeper understanding of HIV stigma.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".