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In the late twentieth century, researchers began calling attention to declining social capital in America and the potential consequences of this trend for a healthy society. While researchers empirically assessed the decline in social capital from the mid-1900s onward, this line of research diminished when the major source of data, the General Social Survey, stopped fielding critical questions in 2004. We do not know, therefore, whether social capital, especially associational social capital, has declined, stabilized, or even increased in a twentyfirst century America. In this paper, we develop a new measure of associational social capital using a confirmatory factor analysis of six indicators from the Civic Engagement Supplement to the Current Population Survey for 2008–2011 and 2013. Our findings support previous research suggesting that associational social capital does not seem to be declining over time. However, we do find evidence of a nonlinear decrease in associating during the Great Recession years. Across the entire time period, though, membership in groups has not declined and there has been little practical change in the amount of time that individuals spend with neighbors. Our analysis of the variance of social capital also shows no general change in the national dispersion of social capital from 2008 to 2013. The paper advances the measurement of social capital and updates our understanding of its possible decline. [ABSTRACT FROM AUTHOR]

Objectives: Population-based recruitment of a cohort of women who are currently pregnant or who may become pregnant in a given timeframe presents challenges unique to identifying pregnancy status or the likelihood of future pregnancy. Little is known about the performance of individual eligibility items on pregnancy screeners although they are critical to participant recruitment. This paper examined the patterns and respondent characteristics of key pregnancy screener items used in a large national study.Methods: Cross-sectional analyses were conducted. Descriptive statistics and multivariable logistic regression models were used to examine nonresponse patterns to three questions (currently pregnant, trying to get pregnant and able to get pregnant). The questions were asked of 50,529 women in 17 locations across the US, as part of eligibility screening for the National Children's Study Vanguard Study household-based recruitment.Results: Most respondents were willing to provide information about current pregnancy, trying, and able to get pregnant: 99.3% of respondents answered all three questions and 97.4% provided meaningful answers. Nonresponse ranged from 0.3 to 2.5% for individual items. Multivariable logistic regression results identified small but statistically significant differences in nonresponse by respondent age, marital status, race/ethnicity-language, and household-based recruitment group.Conclusions for Practice: The high levels of response to pregnancy-related items are impressive considering that the eligibility questions were fairly sensitive, were administered at households, and were not part of a respondent-initiated encounter. [ABSTRACT FROM AUTHOR]

The earliest documented analytical approach to portfolio selection is Markowitz’s mean-variance analysis, which attempts to find the portfolio with optimal performance by considering the tradeoff between return and risk. The performance of mean-variance analysis has been the subject of many studies and compared to other portfolio construction approaches such as a naïve equally-weighted allocation scheme. In recent years, several approaches have been proposed to improve the mean-variance model by reducing the sensitivity of the portfolio selection process in order achieve robust performance. Although robust portfolio optimization has been one of the most researched methods for improving portfolio robustness, the performance of robust portfolios has not been the major focus of studies. In this paper, a comprehensive analysis on robust portfolio performance is presented for equity portfolios constructed in the U.S. market during the period 1980 and 2014, and results confirm the advantage of robust portfolio optimization for controlling uncertainty while efficiently allocating investments. [ABSTRACT FROM AUTHOR]