Improving Measures of Sexual and Gender Identity in English and Spanish to Identify LGBT Older Adults in Surveys.

PURPOSE: The goal of this research is to advance the study of health disparities faced by older sexual and gender minorities by assessing comprehension of and improving measures of sexual and gender identity in surveys. METHODS: Cognitive interviews were conducted by expert interviewers with 48 non-lesbian, gay, bisexual, and transgender (non-LGBT) and 9 LGBT older English and Spanish speakers. RESULTS: All respondents were able to answer questions about their sex assigned at birth and current gender identity successfully despite some cisgender respondents' lack of clear understanding of the transgender response option. On the contrary, while the vast majority of English speakers could answer the question about their sexual identity successfully, almost 60% of the non-LGBT Spanish speakers did not select the "heterosexual, that is, not gay (or lesbian)" response category. Qualitative probing of their response process pointed mainly to difficulties understanding the term "heterosexual," leading to their choosing "something else" or saying that they didn't know how to answer. A second round of testing of alternative response categories for the sexual identity question with Spanish speakers found a marked improvement when offered "not gay (or lesbian), that is, heterosexual" instead of beginning with the term "heterosexual." CONCLUSION: This research adds to our understanding of gender and sexual identity questions appropriate for population surveys with older adults. Inclusion of these measures in surveys is a crucial step in advancing insights into the needs of and disparities faced by LGBT older adults.

Engagement, Persistence, and Gender in Computer Science: Results of a Smartphone ESM Study.

While the underrepresentation of women in the fast-growing STEM field of computer science (CS) has been much studied, no consensus exists on the key factors influencing this widening gender gap. Possible suspects include gender differences in aptitude, interest, and academic environment. Our study contributes to this literature by applying student engagement research to study the experiences of college students studying CS, to assess the degree to which differences in men and women's engagement may help account for gender inequity in the field. Specifically, we use the Experience Sampling Method (ESM) to evaluate in real-time the engagement of college students during varied activities and environments. Over the course of a full week in fall semester and a full week in spring semester, 165 students majoring in CS at two Research I universities were "beeped" several times a day via a smartphone app prompting them to fill out a short questionnaire including open-ended and scaled items. These responses were paired with administrative and over 2 years of transcript data provided by their institutions. We used mean comparisons and logistic regression analysis to compare enrollment and persistence patterns among CS men and women. Results suggest that despite the obstacles associated with women's underrepresentation in computer science, women are more likely to continue taking computer science courses when they felt challenged and skilled in their initial computer science classes. We discuss implications for further research.

Do inferences about mortality rates and disparities vary by source of mortality information?

PURPOSE: Researchers who study mortality among survey participants have multiple options for obtaining information about which participants died (and when and how they died). Some use public record and commercial databases; others use the National Death Index; some use the Social Security Death Master File; and still others triangulate sources and use Internet searches and genealogic methods. We ask how inferences about mortality rates and disparities depend on the choice of source of mortality information. METHODS: Using data on a large, nationally representative cohort of people who were first interviewed as high school sophomores in 1980 and for whom we have extensive identifying information, we describe mortality rates and disparities through about age 50 using four separate sources of mortality data. We rely on cross-tabular and multivariate logistic regression models. RESULTS: These sources of mortality information often disagree about which of our panelists died by about age 50 and also about overall mortality rates. However, differences in mortality rates (i.e., by sex, race/ethnicity, education) are similar across of sources of mortality data. CONCLUSION: Researchers' source of mortality information affects estimates of overall mortality rates but not estimates of differential mortality by sex, race and/or ethnicity, or education.

Early childhood health, reproduction of economic inequalities and the persistence of health and mortality differentials.

The persistence of adult health and mortality socioeconomic inequalities and the equally stubborn reproduction of social class inequalities are salient features in modern societies that puzzle researchers in seemingly unconnected research fields. Neither can be satisfactorily explained with standard theoretical frameworks. In the domain of health and mortality, it is unclear if and to what an extent adult health and mortality disparities across socioeconomic status (SES) are the product of attributes of the positions themselves, the partial result of health conditions established earlier in life that influence both adult health and economic success, or the outcome of the reverse impact of health status on SES. In the domain of social stratification, the transmission of inequalities across generations has been remarkably resistant to satisfactory explanations. Although the literature on social stratification is by and large silent about the role played by early health status in shaping adult socioeconomic opportunities, new research on human capital formation suggests this is a serious error of omission. In this paper we propose to investigate the connections between these two domains. We use data from male respondents of the 1958 British Cohort to estimate (a) the influence of early health conditions on adult SES and (b) the contribution of early health status to observed adult health differentials. The model incorporates early conditions as determinants of traits that enhance (inhibit) social mobility and also conventional and unconventional factors that affect adult health and socioeconomic status. Our findings reveal that early childhood health plays a small, but non-trivial role as a determinant of adult SES and the adult socioeconomic gradient in health. These findings enrich current explanations of SES inequalities and of adult health and mortality disparities.