Search

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 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.

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 (69Š) 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. Conclusions: Individual characteristics, attitudes, life course, and social cues are associated with changes in personal fertility ideals. More characteristics were associated with decreases than increases in personal fertility ideals. Contribution: By demonstrating that many women change personal fertility ideals over three years, the current study advances understanding of variations in fertility experiences. Importantly, these findings can also inform policies and interventions designed to support child and maternal health.

We use five years of American Community Survey data to examine how military service provides a non-degree-based pathway into STEM occupations. Military service is associated with STEM occupations in positive and surprising ways. Veterans are more likely than their civilian counterparts to work in STEM, an effect particularly strong for women and among workers without a STEM bachelor's degree. Among workers lacking STEM BAs, veterans were more likely to hold STEM occupations. Indeed, veterans lacking a college degree at all are more likely than their nonveteran counterparts to hold STEM employment. We conclude that military service in itself provides a rarely-discussed route to diversifying STEM and consider the policy implications.

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.

To what extent does a focus upon local news affect residents' expressed attachment to their community? Albeit relatively unexplored in previous research, an examination of this effect might significantly improve social science understanding of attachment, a key element of community quality of life. This research examined the effect of a focus upon local news on community attachment using a conceptual model informed by three sociological approaches: linear-development, systemic model, and social capital. The model was evaluated by the extent to which it fit data gathered from a social survey of 860 adults living in rural areas within 10-selected states. The results indicate that a focus upon local news has a strong direct effect on community attachment. Implications are discussed with respect to how community attachment might be improved by fostering a greater focus upon local news.