A screening tool for detecting eating disorder risk and diagnostic symptoms among college-age women

Objective: As eating disorders (EDs) often emerge during college, managing EDs would ideally integrate prevention and treatment. To achieve this goal, an efficient tool is needed that detects clinical symptoms and level of risk. This study evaluated the performance of a screen designed to identify individuals at risk for or with an ED. Participants: Five hundred forty-nine college-age women. Methods: Participants completed a screen and diagnostic interview. Results: Using parsimonious thresholds for ED diagnoses, screen sensitivity ranged from 0.90 (anorexia nervosa) to 0.55 (purging disorder). Specificity ranged from 0.99 (anorexia nervosa) to 0.78 (subthreshold binge eating disorder) compared to diagnostic interview. Moderate to high area under the curve values were observed. The screen had high sensitivity for detecting high risk. Conclusions: The screen identifies students at risk and has acceptable sensitivity and specificity for identifying most ED diagnoses. This tool is critical for establishing stepped care models for ED intervention.     

Efficient sampling on the simplex with a self-adjusting logit transform proposal

A vector of k positive coordinates lies in the k-dimensional simplex when the sum of all coordinates in the vector is constrained to equal 1. Sampling distributions efficiently on the simplex can be difficult because of this constraint. This paper introduces a transformed logit-scale proposal for Markov Chain Monte Carlo that naturally adjusts step size based on the position in the simplex. This enables efficient sampling on the simplex even when the simplex is high dimensional and/or includes coordinates of differing orders of magnitude. Implementation of this method is shown with the SALTSampler R package and comparisons are made to other simpler sampling schemes to illustrate the improvement in performance this method provides. A simulation of a typical calibration problem also demonstrates the utility of this method.     

The Role of an Electronic Resources Librarian in Procuring Accessible Online Resources

Abstract

Per the 2019 NASIG Core Competencies for electronic resources librarians (ERL), ERLs “work with concepts and methods that are very much in flux … [they are] knowledgeable about the legal framework within which libraries and information agencies operate… [including] laws relating to… equal rights (e.g., the Americans with Disabilities Act)”. However, the Core Competencies do not define the level to which an ERL is responsible for determining the accessibility of an electronic resource. This article aims to create a better understanding of the steps an ERL can take to develop an accessibility statement pertaining to procuring accessible content. This article synthesizes key laws and policies that ERLs should be aware of in order to draft an accessibility procurement statement for their institution. It will also discuss licensing strategies, documentation collection, and conducting potential audits of electronic purchases.     

Wealth Mobility of Families Raising Children in the Twenty-First Century

Wealth inequality between the top and bottom deciles has grown over the last 20 years (Piketty and Zucman in Wealth and inheritance in the long run, Centre for Economic Policy Research, London, 2014), as has the racial wealth gap (Shapiro et al. in The roots of the widening racial wealth gap: explaining the black–white economic divide. Institute on Assets and Social Policy, Brandeis University, Waltham, 2013. http://iasp.brandeis.edu/pdfs/Author/shapiro-thomas-m/racialwealthgapbrief.pdf). Within these broad trends of inequality, some families are able to get ahead and grow their wealth, while others are not. Yet we do not understand well the critical variables that increase the likelihood of wealth mobility across the life course—within the same generation. This paper addresses this gap and investigates the following questions: What accounts for intra-generational relative and absolute wealth mobility for families with children in the first decade of the twenty-first century? And how does it differ by race? The paper draws on two longitudinal data sets—the Panel Study of Income Dynamics household survey data matched with neighborhood-level US Census data (1999–2011), and the IASP Leveraging Mobility (LM) study (1998–2011). Applying an integrated mixed methods design, analyses are conducted in three stages: (1) A grounded theory analytic approach of the LM data determines key variables of wealth mobility: homeownership, income, employment characteristics, extended family wealth, negative life events, and neighborhood factors; (2) regression analyses test these indicators for absolute and relative wealth mobility; and (3) recontextualization through further analyses of LM data deepen the regression results by illustrating the pathways of significant wealth mobility predictors. Results reveal that increasing family income, larger family transfers, consistent long-term homeownership, and in some cases white-collar occupations increase the likelihood of upward relative wealth mobility. Negative life events, higher rates of neighborhood poverty, and black race are negatively correlated with the amount of wealth growth. These key drivers of wealth mobility highlight the need for targeted policies that reinforce and expand opportunities for all families to build wealth over the life course.