Robustness of Approaches to ROC Curve Modeling under Misspecification of the Underlying Probability Model

A variety of statistical regression models have been proposed for the comparison of ROC curves for different markers across covariate groups. Pepe developed parametric models for the ROC curve that induce a semiparametric model for the market distributions to relax the strong assumptions in fully parametric models. We investigate the analysis of the power ROC curve using these ROC-GLM models compared to the parametric exponential model and the estimating equations derived from the usual partial likelihood methods in time-to-event analyses. In exploring the robustness to violations of distributional assumptions, we find that the ROC-GLM provides an extra measure of robustness.     

Prediction Techniques for Box–Cox Regression Models

This article reviews several techniques useful for forming point and interval predictions in regression models with Box-Cox transformed variables. The techniques reviewed—plug-in, mean squared error analysis, predictive likelihood, and stochastic simulation—take account of nonnormality and parameter uncertainty in varying degrees. A Monte Carlo study examining their small-sample accuracy indicates that uncertainty about the Box–Cox transformation parameter may be relatively unimportant. For certain parameters, deterministic point predictions are biased, and plug-in prediction intervals are also biased. Stochastic simulation, as usually carried out, leads to badly biased predictions. A modification of the usual approach renders stochastic simulation predictions largely unbiased.     

Understanding perceptions of substance use education in social work: an analysis of survey responses from MSW program leaders

ABSTRACT

This article details the findings of a series of analyses regarding how the institutional leaders of Master of Social Work Programs (MSW) in the United States form their perceptions on the role and implementation of substance use concepts in social work education. Five statistical tests were performed on data collected from a 2017 substance use education (SUE) survey of MSW program leaders, and the analyses were used to explore how program leaders form their perceptions on: the importance of SUE to social work, the need for regulatory measures for SUE in social work, the SUE needs of individual MSW programs, the implementation of substance use course content, and graduating students’ substance use intervention capacities. Significant findings from the analyses showed that: the amount of foundational course emphasis on clinical SUE within individual programs is a significant predictor of program leader perceptions on students’ clinical substance use intervention capacities; different categories of substance use intervention preparedness have interconnected effects among domains of preparedness; and perceptions on the importance of SUE to social work have a significant impact on program leaders’ opinions regarding regulatory measures for SUE in social work.     

FDI,democracy and corruption in Sub-Saharan Africa

This paper investigates the relationship between FDI, democracy and corruption among 30 countries in Sub-Saharan Africa (SSA) over the period of 1985–2014 to determine whether the ‘helping hand’ or ‘grabbing hand’ hypothesis is most applicable. The results of GMM analysis show that corruption is used by FDI investors to overcome the region’s weak democratic regulatory and institutional status and thus the ‘helping hand’ is more prevalent. However, the results further show that as democratic capital accumulates, this association may outlive its usefulness and thus corruption as a ‘helping hand’ in time becomes a ‘grabbing hand’ instead. These results imply that SSA countries should focus on integrating into the international economy so as to take advantage of existing financial enforcement legislation while reconstructing and strengthening domestic constitutional anti-corruption legislation and institutions.     

Creating a Consensus: Psychologists, the Supreme Court, and School Desegregation, 1952–1955

SPSSI psychologists' involvement in the early civil rights movement in the postwar United States was epitomized by their involvement in the case of Brown v. Board of Education. This article examines how social scientists sought to maintain the persona of objective, scientific expert when asked to prepare briefs for the U.S. Supreme Court for the Brown case. The social scientists believed that only by collapsing what they saw as an artificial distinction between objectivity and advocacy could the social scientist become a social activist. This article is based on extensive research in numerous archives, including the papers of Gordon W. Allport, Kenneth B. Clark, Stuart W. Cook, David Krech, the National Association for the Advancement of Colored People, Theodore M. Newcomb, Robert Redfield, and the Society for the Psychological Study of Social Issues.