Sampling Homosexuals, Bisexuals, Gays, and Lesbians for Public Health Research: A Review of the Literature from 1990 to 1992

• Published in: Journal of homosexuality 1996-01, Vol.30 (4), p.31-47
• Main Authors: Sell, Randall L., Petrulio, Christian
• Format: Article
• Language: English
• Subjects: Bisexuality; Bisexuality - statistics & numerical data; Female; Gays & lesbians; Homosexuality; Homosexuality, Female - statistics & numerical data; Homosexuality, Male - statistics & numerical data; Homosexuals; Human relations; Humans; Interpersonal communication; Lesbianism; Literature; Literature reviews; Male; Methodological Problems; Personal relationships; Politics; Public Health; Public Health - methods; Research Design; Sampling; Sampling Studies; Selection Bias; Social research
• ISSN: 0091-8369; 1540-3602
• DOI: 10.1300/J082v30n04_02

Our objective was to examine the representativeness of samples of homosexuals, bisexuals, gays, and lesbians obtained for public health research. We identified journal articles cited in Medline and published between 1990 and 1992 that sampled individuals and classified them as homosexual, bisexual, gay, and/or lesbian. Information was abstracted from these articles to evaluate four components of sample selection affecting the representativeness of samples: (1) how the population is conceptually defined, (2) how the sampled population is operationally identified, (3) the setting from which samples are selected, and (4) the use of probability sampling to select subjects.We identified 152 public health articles published between 1990 and 1992 that sampled homosexuals, bisexuals, gays, and/or lesbians. We found articles (1) rarely (4/152) conceptually defined the population they were sampling, (2) used a range of incomparable methods to identify and select subjects, (3) sampled from settings representative of dramatically different populations, and (4) rarely (3/152) used probability sampling. Overall, we find methods used to identify homosexuals, bisexuals, gays, and lesbians for public health research produce samples representative of different and sometimes unidentifiable populations. To understand these populations from a public health perspective, it is imperative that steps be taken by researchers to standardize population definitions and sampling methodologies.