Family Relationships and Religious Identities of GLBQ Christians

ABSTRACT

Nonheterosexual individuals are half as likely as their heterosexual counterparts to report a religious identity. Gay, lesbian, bisexual, and queer (GLBQ) emerging adults who maintain a religious identity and affiliation throughout their adolescent and young adult years challenge dominant narratives of sexuality and religion (Pew, 2012, 2013). This study contextualizes these demographic findings and considers their impact on family life and sexual identity. The authors present data from 11 qualitative interviews with GLBQ individuals between the ages of 20 and 25. Results are presented in a model describing how participants constructed a GLBQ Christian identity, and how they perceive the acceptance of their identities in both their families and church communities.     

Non-parametric Quantile Regression with Censored Data

Abstract.  Censored regression models have received a great deal of attention in both the theoretical and applied statistics literature. Here, we consider a model in which the response variable is censored but not the covariates. We propose a new estimator of the conditional quantiles based on the local linear method, and give an algorithm for its numerical implementation. We study its asymptotic properties and evaluate its performance on simulated data sets.     

Estimating the Effects of Residential Mobility: A Methodological Note

This article reviews the methodological challenges of estimating a causal association between mobility and children's cognitive, social, emotional, and physical development. Utilizing a comprehensive set of empirical articles published in the past 25 years that employ quantitative methods, it describes the limitations of previous studies and the innovative ways that researchers have attempted to deal with them. The concept of mobility is inconsistently operationalized along four dimensions: school versus residential, distance, timing, and frequency. Imprecise operationalization conflates different forms of mobility, which have differential effects on development. Attempts to estimate a causal association between mobility and development suffer from three sources of bias: selection, contextual shifts, and contemporaneous instigating events. (a) Methods that account for unobserved differences between mobile and nonmobile children have consistently shown smaller or even positive effects of mobility. (b) Moving can have a positive or negative effect on children's ecological contexts in ways that are systematically correlated with child development. (c) Moves are frequently catalyzed by changes in family structure and employment. The article concludes with recommendations for future research. Researchers should continue to engage fixed- and random-effect, matching, and instrumental variable techniques, each of which makes the question of causality explicit.     

Participatory action research opens doors: Mentoring Indigenous researchers to improve midwifery in urban Australia

Problem

There is increasing demand for capacity building among the Aboriginal and Torres Strait Islander (Indigenous) maternal and infant health workforce to improve health outcomes for mothers and babies; yet few studies describe the steps taken to mentor novice Indigenous researchers to contribute to creating a quality evidence-base in this space.

Regression models for cyclic data

Summary. Geologists take slices through rock samples at a series of different orientations. Each slice is examined for a phenomenon which may occur in one of two states labelled clockwise and anticlockwise. The probability of an occurrence being in the clockwise state is dependent on the orientation. Motivated by these data, two models are presented that relate the probability of an event to orientation. Each model has two parameters, one identifying the orientation corresponding to the peak probability, and the other controlling the rate of change of probability with orientation. One model is a logistic model, whereas the other involves a power of the sine function. For the given data neither model consistently outperforms the other.     

Leading beyond the bottom line

Do physician executives approach managing and leading health care organizations like a CEO of a Fortune 100 company? Or does their training as physicians first give them a unique perspective, leading them to view organizational issues differently? The authors suggest that to be a physician executive is to be the practitioner, teacher, coach, and mentor for a new philosophy of leadership and management called Leading Beyond the Bottom Line. While the financial health of an organization is critical to its survival and its ability to fulfill its purpose, the trap is to focus on maximizing the bottom line. This new philosophy leads an organization to attend in equal measure to the (1) welfare of its patients, (2) its financial health, (3) the well-being of its employees, and (4) the building of its community. "The Optimal Organization" is one in which these four objectives are seen not only as related, but interconnected, and the goal is to maximize all of them. The legitimate role of the physician executive is to manage in search of Pareto Optimum, or the maximum benefit for all four organizational objectives. Clearly, this is a tougher job than maximizing profits or just optimizing profits and patient care.