BACKGROUND Demographers typically ask about societal, not personal, fertility ideals. Societal ideals are probably more stable than personal ideals. Assessing whether personal fertility ideals are as stable as societal ideals could inform models of population fertility change and models of well-being associated with fertility outcomes. METHODS We use the two-wave National Survey of Fertility Barriers (NSFB) to model stability and change in fertility ideals among 879 women in heterosexual couples that persisted for both waves. RESULTS Personal fertility ideals are stable for most (69%) women, but roughly one-third adjust their ideal number between waves. Of the women who changed their personal fertility ideal, approximately half increase and half decrease their personal fertility ideal over time. Multinomial logistic regression indicates that women with a higher fertility ideal at Wave 1 had higher odds of increasing and lower odds of decreasing their fertility ideal by Wave 2. Higher education was associated with lower likelihood of increasing fertility ideals. In addition, full-time employment at the initial interview was associated with higher likelihood of decreasing fertility ideals.

The authors use 2014–2018 data from the American Community Survey to answer two questions: To what extent is military service associated with higher rates of earning a bachelor’s degree in a science, technology, engineering, and mathematics (STEM) field (vs. a non-STEM field)? To what extent is this relationship gendered? The findings suggest that military service is associated with higher odds of completing a STEM degree and that this association is particularly strong for female veterans. Comparison across multiple STEM definitions suggests that military service does not simply channel women into traditionally female-dominated STEM fields. Instead, the findings show the biggest boost for women earning degrees in traditionally male-dominated STEM fields. The authors situate these findings in light of extant empirical and theoretical research on gender gaps in STEM and discuss implications for policy and research.

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Competing hypotheses exist with regard to how men’s and women’s pregnancy desires and intentions are associated with births among contemporary heterosexual couples. There are compelling cultural and structural reasons to support either the hypothesis that men’s desires and intentions (patriarchal) or that women’s desires and intentions (matriarchal) will have more influence, or that both partner’s desires and intentions will be associated with births (mutual influence). In addition, patterns of change are likely to differ for couples that have children at wave 1 compared to those who do not. Path analyses of the of heterosexual couples (n = 615) who completed both waves of the National Survey of Fertility Barriers support the matriarchal hypothesis, because among couples without children, only women’s desires were associated with subsequent births. Among couples with children, men’s characteristics and desires are indirectly, and women’s are directly, associated with subsequent births, indicating support for the mutual influence hypothesis.

Background Ecological momentary assessment (EMA) is a set of research methods that capture events, feelings, and behaviors as they unfold in their real-world setting. Capturing data in the moment reduces important sources of measurement error but also generates challenges for noncompliance (ie, missing data). To date, EMA research has only examined the overall rates of noncompliance. Objective In this study, we identify four types of noncompliance among people who use drugs and aim to examine the factors associated with the most common types. Methods Data were obtained from a recent pilot study of 28 Nebraskan people who use drugs who answered EMA questions for 2 weeks. We examined questions that were not answered because they were skipped, they expired, the phone was switched off, or the phone died after receiving them. Results We found that the phone being switched off and questions expiring comprised 93.34% (1739/1863 missing question-instances) of our missing data. Generalized structural equation model results show that participant-level factors, including age (relative risk ratio [RRR]=0.93; P=.005), gender (RRR=0.08; P=.006), homelessness (RRR=3.80; P=.04), personal device ownership (RRR=0.14; P=.008), and network size (RRR=0.57; P=.001), are important for predicting off missingness, whereas only question-level factors, including time of day (ie, morning compared with afternoon, RRR=0.55; P<.001) and day of week (ie, Tuesday-Saturday compared with Sunday, RRR=0.70, P=.02; RRR=0.64, P=.005; RRR=0.58, P=.001; RRR=0.55, P<.001; and RRR=0.66, P=.008, respectively) are important for predicting expired missingness. The week of study is important for both (ie, week 2 compared with week 1, RRR=1.21, P=.03, for off missingness and RRR=1.98, P<.001, for expired missingness). Conclusions We suggest a three-pronged strategy to preempt missing EMA data with high-risk populations: first, provide additional resources for participants likely to experience phone charging problems (eg, people experiencing homelessness); second, ask questions when participants are not likely to experience competing demands (eg, morning); and third, incentivize continued compliance as the study progresses. Attending to these issues can help researchers ensure maximal data quality.

American Indian and Alaska Native (AI/AN) youth, particularly males, experience disproportionately high rates of suicide compared to other young people in the United States. Therefore, enacting suicide prevention efforts for AI/AN youth is especially important. Since research shows that strengthening social, cultural, and emotional support can reduce suicide risk, many recent prevention efforts focus on these strategies. Yet, to reinforce and to extend the positive impact of these strategies for suicide risk reduction, we argue it is useful to identify baseline levels and other features of already-existing support. Toward this end, we describe the types (i.e., category), quantities (i.e., distribution and average number), sources (i.e., from whom), and frequencies (i.e., how often) of social support that AN young people report receiving, and we examine if these “support profiles” differ by age and sex. We use survey data from 165 ANs under age 30, collected as part of a participatory intervention study focused on Promoting Community Conversations About Research to End Suicide (PC CARES). We find that: 1) most ANs reported receiving nearly all supports, 2) compared with females, males reported receiving fewer supports on average, 3) family was the most selected support source, followed by close friends and service providers, and 4) family (e.g., parents, siblings, and grandparents) provided support regularly (i.e., monthly or more). Though our findings may suggest fruitful avenues for interventions targeted toward AN males, we discuss these findings in relation to the gendered nature of suicide prevention and assessment.

Conducting field research with a vulnerable population is difficult under the most auspicious conditions, and these difficulties only increase during a pandemic. Here, we describe the practical challenges and ethical considerations surrounding a recent data collection effort with a high-risk population during the COVID-19 pandemic. We detail our strategies related to research design, site selection, and ethical review.