Importance of interpolation when constructing double-bootstrap confidence intervals

We show that, in the context of double-bootstrap confidence intervals, linear interpolation at the second level of the double bootstrap can reduce the simulation error component of coverage error by an order of magnitude. Intervals that are indistinguishable in terms of coverage error with theoretical, infinite simulation, double-bootstrap confidence intervals may be obtained at substantially less computational expense than by using the standard Monte Carlo approximation method. The intervals retain the simplicity of uniform bootstrap sampling and require no special analysis or computational techniques. Interpolation at the first level of the double bootstrap is shown to have a relatively minor effect on the simulation error.     

Too Hard to Shout Over the Loudest Frame: Effects of Competing Frames in the Context of the Crystallized Media Coverage on Offshore Outsourcing

This study investigates the effects of competing frames in newspaper coverage of offshore outsourcing, an issue that is characterized by a predominantly negative, unemployment-focused media framing. The findings of a randomized, controlled experiment (N = 152) demonstrate that conventional framing effects do hold for this issue and for this media context by moving recipients’ attitudes in the direction consistent with the valence of the frame. However, they also show the backfire effect of the positively valenced frame among recipients with greater interest in political and economic news, who become less supportive of outsourcing if they read a story framing outsourcing from a consumer-oriented perspective. Our results contribute to the ongoing debate about the limits of framing effects on forming opinion about contentious policy issues and demonstrate the challenges for nondominant perspectives to make their way to news-savvy audiences even when the nature of the issue in question necessitates considering them.     

Using Experiential Learning to Help Students Understand the Impact of Food Insecurity

Experiential learning theory suggests that students increase their understanding when given the opportunity to experience a particular situation in addition to learning about it intellectually. This theory was used to construct an assignment to assist social work master’s students in better understanding food insecurity and the Supplemental Nutrition Assistance Program (SNAP). Through coding previously collected reactions to the assignment, the researchers discovered multiple reoccurring themes: increased understanding of SNAP, feelings about the program, realizations regarding individual privilege, client stigma, the social experience of eating, and empathy for those who experience food insecurity. Through this exercise, students increased their knowledge of the program and also gained a better understanding of how food insecurity personally affects individuals and families.     

Zero-inflated sum of Conway-Maxwell-Poissons (ZISCMP) regression

While excess zeros are often thought to cause data over-dispersion (i.e. when the variance exceeds the mean), this implication is not absolute. One should instead consider a flexible class of distributions that can address data dispersion along with excess zeros. This work develops a zero-inflated sum-of-Conway-Maxwell-Poissons (ZISCMP) regression as a flexible analysis tool to model count data that express significant data dispersion and contain excess zeros. This class of models contains several special case zero-inflated regressions, including zero-inflated Poisson (ZIP), zero-inflated negative binomial (ZINB), zero-inflated binomial (ZIB), and the zero-inflated Conway-Maxwell-Poisson (ZICMP). Through simulated and real data examples, we demonstrate class flexibility and usefulness. We further utilize it to analyze shark species data from Australia's Great Barrier Reef to assess the environmental impact of human action on the number of various species of sharks.     

The effect of paid maternity leave on low-income families' welfare use in the US

Despite the critical role that paid maternity leave can assume in the economic lives of low-income families, research to date has paid insufficient attention to whether paid maternity leave reduces welfare use for low-income families. Using the Current Population Survey (CPS) March Supplement 2007–2014 with the difference-in-difference (DiD) technique, this study finds a significant policy effect of paid maternity leave on reducing the probability of using Temporary Assistance for Needy Families (TANF), TANF benefit amounts and TANF participation length. This study confirms that paid maternity leave is likely to prevent low-income families from using welfare during job interruptions stemming from the birth of a child. Given that TANF is often associated with negative political and social connotations, paid maternity leave can be used as an important social policy to improve economic security as well as offer empowerment in overall social standing for low-income mothers. The discussion focuses on the implications of the findings in a broader context of American welfare states.     

Scaling Back and Finding Flexibility: Gender Differences in Parents' Strategies to Manage Work–Family Conflict

Studies show that fathers report work–family conflict levels comparable to mothers. The authors examine gender differences in work‐related strategies used to ease such conflicts. The authors also test whether the presence of young children at home shapes parents' use of different strategies. They address these focal questions using panel data from the Canadian Work, Stress, and Health study (N = 306 fathers, 474 mothers). The authors find that mothers with young children are more likely to scale back on work demands when compared with fathers with young children, but mothers and fathers with older children are equally likely to pursue these strategies. Furthermore, women with young children and men with older children are more likely to seek increased schedule control as a result of work–family conflict when compared with their parent counterparts. The authors situate these findings in the vast literature on the consequences of work–family conflict.     

The Influence of Career Planning on Career Thoughts in STEM‐Interested Undergraduates

Undergraduate career planning courses have shown efficacy in decreasing students’ negative career thoughts; however, universities have minimally applied these courses to science, technology, engineering, and math (STEM) populations. This study compared the influence of a STEM‐focused career planning course for undecided STEM students with a seminar course for decided STEM majors. An analysis of covariance with covariate adjustment revealed that undecided career planning students had lower adjusted mean scores on a measure of negative career thinking than the decided STEM majors after the first semester of college. The results provide support for the efficacy of STEM‐focused career planning courses and measuring negative career thoughts with STEM undergraduates.