Are Sexual Minorities Less Likely to Participate in Surveys? An Examination of Proxy Nonresponse Measures and Associated Biases with Sexual Orientation in a Population-based Health Survey

Dados Bibliográficos

ID7287699
AutoresSung-Hee Lee (0000-0003-4607-0816, University of Michigan), Sunghee Lee (0000-0001-7855-1396, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA), Karen I Fredriksen-Goldsen (University of Washington), Karen Fredriksen Goldsen (0000-0002-7846-349X, University of Washington), Colleen Mcclain (University of Michigan), Hyun‐jun Kim (0000-0002-6381-0487, University of Washington), Hyun-Jun Kim (University of Washington), Z Tuba Suzer‐gurtekin (0000-0002-2859-0482, University of Michigan, autor correspondente), Z Tuba Suzer-Gurtekin (Institute for Social Research, University of Michigan, Ann Arbor, MI, USA)
Ano2018
Volume30
Fascículo3
Páginas208-224
Data de publicação2018-06-14
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoCAM (JOURNAL)
Identificadores do periódicoISSN: 1087-8513 • E-ISSN: 1552-3969
EditoraSAGE Publishing (PUBLISHER • US)
DOI10.1177/1525822x18777736
PMID31105471
OpenAlexW2808321650
IdiomaEN
Citações recebidas5
Referências citadas29

One of the implicit assumptions in survey research is lower response rates by sexual minorities than by nonminorities. With rapidly changing public attitudes toward same-sex marriage, we reconsider this assumption. We used data from the 2013 and 2014 National Health Interview Survey that include contact history data for all sample families as well as sexual orientation information about adults sampled from responding families. We created proxy nonresponse indicators based on contact efforts and reluctance from contact history data and linked them to sexual orientation of the sample adult and simulated nonresponse. The data did not support the assumption: Straight adults were more difficult to get cooperation from than nonstraights. With female sexual minorities showing higher nonresponse than their male counterparts, special considerations are required. Replication analyses may provide insights into what factors influence study participation decisions, which will inform how nonresponse may impact the accuracy of research findings

National Health Interview Survey · Non-response bias · Population · Proxy (statistics · Sample (material · Sexual orientation · Sociology · Statistics · Survey data collection · Demography · HIV/AIDS Research and Interventions · LGBTQ Health, Identity, and Policy · Medicine · Psychology · Social Psychology · Survey Methodology and Nonresponse