Given their strategic position within American society, clergy continue to remain important actors in American politics. This article examines the partisan identifications and electoral behavior of American Protestant clergy in the 2016 presidential election. Although clergy partisanship may be of interest in any election, the 2016 contest, given the milieu of political polarization and the presence of the Trump candidacy, provides an intriguing context for assessing the profession's electoral behavior, particularly among Republican clergy. Based on survey results from over 2,500 clergy drawn from ten Protestant (five mainline and five evangelical) denominations, the study finds that, during the early stages of the 2016 nomination process, only a small percentage of Republican clergy supported Trump and that, despite the high level of political polarization, a sizable segment of Republican clergy resisted partisan pressures and refused to vote for Trump in the general election. The propensity of both independent and Republican clergy to vote for the GOP nominee varied largely with the level of perceived “threats”: to the Christian heritage of the nation, from Islam, and from the process of “globalization.”

Good education requires student experiences that deliver lessons about practice as well as theory and that encourage students to work for the public good—especially in the operation of democratic institutions (Dewey 1923; Dewy 1938). We report on an evaluation of the pedagogical value of a research project involving 23 colleges and universities across the country. Faculty trained and supervised students who observed polling places in the 2016 General Election. Our findings indicate that this was a valuable learning experience in both the short and long terms. Students found their experiences to be valuable and reported learning generally and specifically related to course material. Postelection, they also felt more knowledgeable about election science topics, voting behavior, and research methods. Students reported interest in participating in similar research in the future, would recommend other students to do so, and expressed interest in more learning and research about the topics central to their experience. Our results suggest that participants appreciated the importance of elections and their study. Collectively, the participating students are engaged and efficacious—essential qualities of citizens in a democracy.

Estimators within the Cox family are often used to estimate models for repeated events. Yet, there is much we still do not know about the performance of these estimators. In particular, we do not know how they perform given time dependence, different censoring rates, and a varying number of events and sample sizes. We use Monte Carlo simulations to demonstrate the performance of a variety of popular semi-parametric estimators as these data aspects change and under conditions of event dependence and heterogeneity, both, or neither. We conclude that the conditional frailty model outperforms other standard estimators under a wide array of data-generating processes, and data limitations rarely alter its performance.

This is a study of the comparative outcome success experienced by 2748 participants in government-funded faith-based and community-based intervention programs for at-risk and adjudicated Latino youths run by 28 providers in five western cities. The Latino Coalition, an intermediary faith-based organization, subcontracted with 28 sub-grantees that provided the services from 2005–2008. The study found similar outcomes were experienced by youths in the faith-based versus the community-based programs, but it did find significantly different outcomes by the comprehensive versus non-comprehensive nature of the programs. The study places its findings in the context of faith-based and community initiatives and draws conclusions concerning the public policy implications of the government partnering with faith-based and community-based organizations to provide public services to needy, and especially minority, populations.