“A Whole Bunch of Love the Sinner Hate the Sin”: LGBTQ Microaggressions Experienced in Religious and Spiritual Context

ABSTRACT

Research on microaggressions experienced by LGBTQ people has focused largely on a general understanding of this concept; however, no research exists that focuses exclusively on microaggressions that LGBTQ people face across religious and spiritual communities. The present study addressed this gap in the literature by using a qualitative method to allow LGBTQ people (N= 90) to directly report microaggressions that they have experienced within their religious and spiritual communities. Thematic analysis revealed three predominant themes: (1) LGBTQ identities as inauthentic; (2) religious/spiritual tolerance of LGBTQ Identities, and (3) LGBTQ and religious/spiritual identities as incompatible. Implications and future directions discussed.     

Predicting Patterns of Regulatory Behavior in the Still‐Face Paradigm at 3 Months

The current study addressed two aims: (1) to describe different patterns of infant regulatory behavior during the Face‐to‐Face Still‐Face (FFSF) paradigm at 3 months of age and (2) to identify specific, independent predictors of these patterns from an a priori set of demographic, infant (e.g., temperament), and maternal (e.g., sensitivity) variables. Analyses were based on data collected for 121 mother–infant dyads assessed longitudinally in the newborn period and again at 3 months. In the newborn period, infants’ neurobehavior was evaluated using the Neonatal Behavioral Assessment Scale (NBAS) and mothers reported on their caregiving confidence and their newborns’ irritability and alertness. At 3 months, mothers reported on their infant's temperament, and mother–infant interactions were videotaped during free play and the FFSF. Three patterns of infant regulatory behavior were observed. The most common was a Social‐Positive Oriented Pattern, followed by a Distressed‐Inconsolable Pattern, and a Self‐Comfort Oriented Pattern. Results of multinomial logistic regression indicated that categorical assignment was not associated with demographic or infant characteristics, but rather with dyadic regulatory processes in which maternal reparatory sensitivity played a crucial role.     

The Rise of Rational Choice Theory as a Scientific/Intellectual Movement in Sociology

How did Rational Choice Theory (RCT), traditionally rejected by sociologists for its economic individualism, rise rapidly in the 1980s and the 1990s to theoretical and institutional prominence within sociology? Drawing on Frickel and Gross’ (American Sociological Association, 70(2):204–232 2005) framework for the emergence of scientific/intellectual movements (SIMs), we argue that RCT rose to prominence in sociology in conjunction with: 1) high status actors’ criticism of the previously dominant paradigm, structural functionalism; 2) favorable structural conditions that provided entrepreneurial access to key resources; 3) proliferation through micromobilization contexts; and 4) the ability of those espousing RCT for sociology to draw on dominant cultural motifs outside of academia. The rise of RCT in American sociology provides a case study for how scientific/intellectual movements can find an audience in academic contexts that are predisposed to oppose them.     

When right-wing actors take sides with deportees. A typology of anti-deportation protests

Academic research on activism in migration issues has mainly focused on the actions of either left-wing or far-right activists. As a result, less homogeneous, more complex configurations of actors have been overlooked. This article addresses this gap by drawing attention to unusual alliances of right-wing and left-wing actors as co-partners in the group of key protagonists of anti-deportation protests. Drawing on 96 interviews with actors involved in 15 studied protest cases that took place in Austria, Germany and Switzerland (2005–2013), we find two ideal types of protest, which we call personifying and exemplifying. Personifying protests include right-wing actors, strongly focus on the case of a particular migrant, and do not challenge the principle of deportation as such. In contrast, exemplifying protests do not include right-wing actors. They are carried out by actors with activist experience in NGOs, and more generally criticize deportation and restrictive migration policies. We argue that exemplifying protests are embedded in the solidarity movement, whereas personifying protests, lacking claims of social change or reform, resemble contemporary forms of pragmatic altruistic engagement aiming at individual solutions.     

Automated selection of <Emphasis Type="Italic">r</Emphasis> for the <Emphasis Type="Italic">r</Emphasis> largest order statistics approach with adjustment for sequential testing

The r largest order statistics approach is widely used in extreme value analysis because it may use more information from the data than just the block maxima. In practice, the choice of r is critical. If r is too large, bias can occur; if too small, the variance of the estimator can be high. The limiting distribution of the r largest order statistics, denoted by GEV\(_r\), extends that of the block maxima. Two specification tests are proposed to select r sequentially. The first is a score test for the GEV\(_r\) distribution. Due to the special characteristics of the GEV\(_r\) distribution, the classical chi-square asymptotics cannot be used. The simplest approach is to use the parametric bootstrap, which is straightforward to implement but computationally expensive. An alternative fast weighted bootstrap or multiplier procedure is developed for computational efficiency. The second test uses the difference in estimated entropy between the GEV\(_r\) and GEV\(_{r-1}\) models, applied to the r largest order statistics and the \(r-1\) largest order statistics, respectively. The asymptotic distribution of the difference statistic is derived. In a large scale simulation study, both tests held their size and had substantial power to detect various misspecification schemes. A new approach to address the issue of multiple, sequential hypotheses testing is adapted to this setting to control the false discovery rate or familywise error rate. The utility of the procedures is demonstrated with extreme sea level and precipitation data.     

The role of population size in the determination and prediction of population forecast errors: An evaluation using conifidence intervals for subcounty areas

Producers of population forecasts acknowledge the uncertainty inherent in trying to predict the future and should warn about the likely error of their forecasts. Confidence intervals represent one way of quantifying population forecast error. Most of the work in this area relates to national forecasts; although, confidence intervals have been developed for state and county forecasts. A few studies have examined subcounty forecast error, however, they only measured point estimates of error. This paper describes a technique for making subcounty population forecasts and for generating confidence intervals around their forecast error. It also develops statistical equations for calculating point estimates and confidence intervals for areas with different population sizes. A non-linear, inverse relationship between population size and forecast accuracy was found and we demonstrate the ability to accurately predict average forecast error and confidence intervals based on this relationship.     

Orphans and schooling in africa: a longitudinal analysis

AIDS deaths could have a major impact on economic development by affecting the human capital accumulation of the next generation. We estimate the impact of parent death on primary school participation using an unusual five-year panel data set of over 20,000 Kenyan children. There is a substantial decrease in school participation following a parent death and a smaller drop before the death (presumably due to pre-death morbidity). Estimated impacts are smaller in specifications without individual fixed effects, suggesting that estimates based on cross-sectional data are biased toward zero. Effects are largest for children whose mothers died and, in a novel finding, for those with low baseline academic performance.     

AN ANALYSIS OF PERSONAL CHARACTERISTICS RELATED TO PROFESSIONAL STAFF TURNOVER IN PUBLIC ACCOUNTING FIRMS1

A sample of graduate and undergraduate degree holders in accounting are being studied during the first five years of their public accounting careers. Data on the biographical characteristics, vocational interests, and personality factors are analyzed in this study to discover if different profiles exist for those who remain with their firm of original employment in public accounting following graduation and those who find new positions. A number of significant differences were found. The findings should be of benefit to educators and representatives from the accounting profession because of their mutual concern with recruiting, staff development and retention, and academic preparation and career counseling.