Vicarious discrimination among samples of LGBTQ+ individuals – call for unpublished data or papers

Researchers at Australian Catholic University (Melbourne) are calling for any unpublished data or papers (e.g., in press papers, conference posters/data, grey literature, etc.) to include in their systematic literature review and meta-analysis on the correlates of vicarious discrimination among samples of LGBTQ+ individuals.

Specifically, they are seeking unpublished papers or data that meet the following criteria:

  1. Presented in English
  2. Includes a measure of ‘Vicarious LGBTQ+ Discrimination’ (i.e., a measure that broadly captures the experience of an observer witnessing an event of LGBTQ+ discrimination towards another LGBTQ+ person or group, and/or captures the degree of distress or felt hurt that stems from this observation). For example, the Vicarious Trauma sub-scale of Balsam et al.’s (2013) Daily Heterosexist Experiences Questionnaire (DHEQ).
  3. The study was conducted within an LGBTQ+ sample (or sub-samples within this community)
    1. If the sample also includes cisgender-heterosexual participants, we ask that you only provide us the results for the LGBTQ+ sub-sample if possible.
  4. The study reports quantitative data on the relationship between vicarious discrimination and at least one other outcome (e.g., mental ill-health, other discrimination constructs, community or identity constructs, etc).

If you have any unpublished data that fits the criteria (or something similar), they would love hear from you. Please send an email to Andrea (‘Andi’) Saunders () and/or Jordan D. X. Hinton () by the 31st of May (2024) with the following information:

  • Sample size
  • Country in which data were collected
  • Gender and sexuality sample descriptive data
  • Population type (e.g., community sample) – or any other descriptive statistics that may be of relevance
  • The vicarious discrimination and outcome measures that were used
    • Please also include how you conceptualised / defined these measures, and provide any details useful to understand your analyses (e.g., scoring of the variables)
  • A summary of the data for the relationship between vicarious discrimination and other outcomes (e.g., n, correlation coefficients, regression coefficients, etc.), with a preference for bivariate correlations if possible

If you had any questions, please feel free to email the research team at or by 31st of May (2024). Thanks in advance!