For example, in the 2018 survey, 29,839 households were included in the NHIS sample. Census Bureau interviewers to conduct interviews. This survey program annually draws large representative samples of the USA population and uses U.S. Begun in 1957, the NHIS is designed “to secure accurate and current statistical information on the amount, distribution, and effects of illness and disability in the United States and the services rendered for or because of such conditions” (, accessed January 13, 2020). The NHIS program is the USA’s premier health interview survey. population (Ns across available years =12,098 GSS, and 190,113 for the probability adult segment of the NHIS samples it should be noted that while the GSS conducted a total of 13,794 interviews in 2008 through 2018, only 12,098 respondents were included in survey segments that included the Sexual Orientation question.) Second, these survey programs were conducted by well-trained staffs of survey interviewers and other survey professionals. First, they are well-regarded surveys of large probability samples of the U.S. These data sources have two important advantages for assessing the reproducibility of survey measurements of sexual orientation. These measurements come from the 2008 to 2018 waves of the biennial General Social Survey and the 2013 to 2018 waves of the annual National Health Interview Survey.
GSS 2014 CODEBOOK SERIES
In the present instance we have the benefit of two independent series of surveys that measured the reported sexual orientation of the U.S. For us it is the reproducibility of survey measurements of sexual orientation. That question is the reproducibility of the survey measurements of the subjective phenomena that is at issue. A preliminary question, however, can be fruitfully attacked without taking on the epistemological challenges posed by “validation”. This problem becomes even more difficult for subjective measurements where there is simply no veridical record that can be used to validate survey reports of: how happy someone is, their approval of the President, or their sexual orientation. While partner reports might seem to provide a reasonable strategy, there are inherent limitations to this approach, e.g., in the case of anonymous hook-ups. This is not to say, of course, that such comparisons can be easily (or ever) accomplished for every objective phenomenon consider for example the difficulty of validating reported condom use at last sex. In those instances it is theoretically possible to attempt validation by comparing survey reports to a presumed veridical record (e.g., comparing survey reports of personal bankruptcy to court records). This problem has been long known to affect so-called “objective” measurements (e.g., personal bankruptcy ) in which the notion of a measurement’s “true value” can be logically sustained. These include seemingly minor variations in question wording, context, mode of administration, etc. There is a large literature documenting the ways in which seemingly trivial variations in survey protocols can induce substantial discrepancies in the measurements obtained. Assessments of the accuracy of such measurements are infrequent, however, and can be problematic. Since the 1990s, survey measurements of sexual orientation have become increasingly common in population surveys of sexual behavior in the USA, Europe, and elsewhere. Expanding the model by adding 3-way interaction terms for orientation-by-predictor-by-survey, we find that we cannot reject the null hypothesis that trends over time and across subpopulations in reporting of sexual orientation were statistically equivalent for the two survey programs. Straight) and 2.980 (p<0.001) times higher relative odds of eliciting a response of Bisexual (vs. Fitting multinomial logistic regression models controlling for year, gender, birth cohort, education, and race, we find that compared to the NHIS, the GSS had 1.248 (p=0.022) times higher relative odds of eliciting a response of Gay-Lesbian (vs. population who consider themselves gay/lesbian (NHIS: 1.59% vs.
Restricting analysis to the categories gay/lesbian, bisexual, and straight, we obtain similar estimates of the proportion of the U.S. We instead assess the reproducibility of parallel measurements from two independent samples of the USA population made in the 2008-2018 General Social Surveys and the adult probability subsets of the 2013-2018 National Health Interview Survey (Ns = 12,098 and 190,113). Survey measurements of sexual orientation have become increasingly common in national population surveys although validation of these measurements is rare and inherently problematic.
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