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Development and Preliminary Validation of the Social Distance toward Bisexual Persons Scale.
Caleb Esteban1,2, Eddiel Hernández-López1,2, Astrid Irizarry-Rodríguez1
1The Queer Biopsychosocial Health Laboratory, Clinical Psychology Program, School of Behavioral and Brain Sciences, Ponce Health Sciences University.
Researchers developed the Social Distance toward Bisexual Persons Scale (SDBPS) to measure stigma. The scale shows good psychometric properties and can identify differences in social distance based on sex and sexual orientation.
Area of Science:
- Psychology
- Sociology
- Public Health
Background:
- Social distance is a key indicator of stigma and discrimination.
- Limited tools exist to measure social distance specifically toward bisexual individuals, particularly within Hispanic populations.
- Understanding stigma is crucial for developing targeted interventions.
Purpose of the Study:
- To develop and preliminarily validate the Social Distance toward Bisexual Persons Scale (SDBPS).
- To provide a psychometrically sound instrument for assessing social distance towards bisexual individuals.
- To explore variations in social distance by demographic factors.
Main Methods:
- Instrumental design utilizing a quantitative, non-experimental, cross-sectional study.
- Development of a 22-item pool based on literature, refined by expert review to a 10-item scale.
- Validation conducted with a diverse sample of 373 Hispanic participants in Puerto Rico.
Main Results:
- The 10-item SDBPS demonstrated good psychometric properties, including convergent and divergent validity.
- Significant variations in social distance were observed based on participant sex and sexual orientation.
- The scale is a reliable tool for measuring social distance toward bisexual persons.
Conclusions:
- The SDBPS is a valuable and validated tool for assessing social distance toward bisexual individuals, especially in Hispanic contexts.
- Findings contribute to a deeper understanding of stigma complexity and its variations.
- Further research is recommended for cross-validation and temporal reliability assessment.
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