Comparison of Estimators for Multi-level Randomized Response Data

Evidence from a Case of Sexual Identity

Bibliographic Data

ID7774100
AuthorsShu-Hui Hsieh (0000-0003-4760-5245, Research Center for Humanities and Social Sciences, Academia Sinica, corresponding author), Martin Tshishimbi Wa Lukusa (National Cheng Kung University), Martin T Lukusa (0000-0001-6882-5218, National Cheng Kung University)
Year2021
Volume33
Issue1
Pages85-103
Publication date2021-02-01
Open AccessYes
TypeARTICLE
VenueCAM (JOURNAL)
Journal identifiersISSN: 1087-8513 • E-ISSN: 1552-3969
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/1525822x20977990
OpenAlexW3116337012
LanguageEN
References cited22

In surveys, proportions of individuals self-reporting as bisexual and homosexual are likely to suffer from misreports or refusal to answer when directly questioned. For more reliable information, the randomized response technique is often used. Therefore, to reduce social desirability bias, a multi-level randomized response technique has been used in Taiwan to collect self-reported sexual identity. Using the Taiwan Social Change Survey as a case study, we estimate proportions of individuals aged 18–54 years self-reporting as bisexual and homosexual. Empirical results show individual determinants of truthful response differ across data collection modes and estimation methods. Moreover, estimated proportions of non-heterosexuals in small samples obtained by the maximum likelihood method are less meaningful and accurate than Bayes ones

Bayes' theorem · Bayesian probability · Data collection · Estimation · Estimator · General Social Survey · Human sexuality · Identity (music) · Randomized experiment · Randomized response · Response bias · Sexual identity · Social desirability · Social group · Social identity theory · Sociology · Statistics · HIV, Drug Use, Sexual Risk · Mathematics · Psychology · Social Psychology · Survey Methodology and Nonresponse · Survey Sampling and Estimation Techniques

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