Survey Research Center, 4118 Institute for Social Research, University of Michigan-Ann Arbor, 426 Thompson St., Ann Arbor, MI, 48106, USA.
Program in Survey and Data Science, University of Michigan-Ann Arbor, Ann Arbor, MI, USA.
Arch Sex Behav. 2024 Jan;53(1):107-126. doi: 10.1007/s10508-023-02710-7. Epub 2023 Oct 18.
This randomized experiment tested whether the inclusion of a "something else" response option for a question about sexual identity in a national health survey would significantly moderate estimated differences between sexual identity subgroups in terms of various health outcomes, including substance use and reproductive health. We conducted secondary analyses of data from five consecutive years of the National Survey of Family Growth (NSFG; 2015-2019), where two large national half-samples were randomly assigned to receive one of two different versions of a question about sexual identity (a four-category version that included a "something else" response option or a three-category version omitting this option). We focused on national estimates of differences between subgroups defined by sexual identity. Multivariable models indicated that the estimated subgroup differences changed in a statistically significant fashion when using the four-category version of the sexual identity question for several measures, including 16% of male measures (household size, past-year cigarette use, and past-year illicit drug use) and 15% of female measures (wanting a/another child, ever had a sexually transmitted disease, and past-year marijuana use). The absence of a "something else" response option for questions about sexual identity in national health surveys may cause respondents to select options that do not accurately describe their identities, and this can have a significant effect on national estimates of differences between sexual identity subgroups in terms of selected health outcomes.
这项随机实验测试了在全国健康调查中关于性身份的问题中包含“其他”回答选项,是否会显著缓和性身份亚组在各种健康结果(包括物质使用和生殖健康)方面的估计差异。我们对连续五年的全国家庭增长调查(NSFG;2015-2019 年)的数据进行了二次分析,其中两个大型全国半样本被随机分配到两种不同版本的性身份问题之一(一种包含“其他”回答选项的四类别版本,或一种省略此选项的三类别版本)。我们专注于性身份定义的亚组之间的全国估计差异。多变量模型表明,当使用性身份问题的四类别版本时,对于几个措施,包括 16%的男性措施(家庭规模、过去一年的吸烟情况和过去一年的非法药物使用情况)和 15%的女性措施(想要一个/另一个孩子、是否曾患有性传播疾病和过去一年的大麻使用情况),估计的亚组差异以统计学上显著的方式发生了变化。在全国健康调查中关于性身份的问题中缺乏“其他”回答选项,可能会导致受访者选择不能准确描述他们身份的选项,这会对性身份亚组在选定健康结果方面的全国估计差异产生重大影响。