Instrument details

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Instrument Title

9-item HIV/AIDS Stigma Scale

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Source Article

Ahmadi, K., Reidpath, D. D., Allotey, P., & Hassali, M. A. A. (2016). A latent trait approach to measuring HIV/AIDS related stigma in healthcare professionals: application of mokken scaling technique. BMC medical education, 16, 155. https://doi.org/10.1186/s12909-016-0676-3

Response Options

7-point scale ranging from 1 (agree strongly) to 7 (disagree strongly) and 1(Definitely NO) to 7 (Definitely YES)

Survey Items

  1. People with HIV should NOT be bus drivers.
  2. People with HIV should NOT be religious leaders.
  3. People with HIV should NOT be police officers.
  4. If you come to know that your friend is HIV positive, would you continue your friendship with him/her?
  5. If you come to know that your colleague is HIV positive, would you continue working with him/her?
  6. Would you allow your HIV positive friend to use your bathroom?
  7. Would you discourage your sibling from becoming friends with an HIV/AIDS person?
  8. Would you send your child to a school where one of its teachers is HIV positive?
  9. A family has the right to know if a member is infected with HIV and this is more important than a family member’s right to privacy.

Internal Reliability

Cronbach’s α=0.89

Validity

Construct validity through face and convergent validity

Google Scholar

View article on Google Scholar

Terms Of Use

Individuals may use this information for research or educational purposes only and may not use this information for commercial purposes. When using this instrument, please cite:

Ahmadi, K., Reidpath, D. D., Allotey, P., & Hassali, M. A. A. (2016). A latent trait approach to measuring HIV/AIDS related stigma in healthcare professionals: application of mokken scaling technique. BMC medical education, 16, 155. https://doi.org/10.1186/s12909-016-0676-3

When presenting results using any survey information you obtained from the SABI, please acknowledge the University of North Carolina at Chapel Hill Center for AIDS Research (CFAR), an NIH funded program P30 AI50410.