Changing Signs: The Political Pragmatism of Poststructuralism

In a recent issue of The New Republic, Martha Nussbaum singled out Judith Butler for a particularly venomous attack. Nussbaum's criticism was very simple: good theory leads to practical political action, and Butler's theories do not. Nussbaum's criticism of Butler echoes a general criticism leveled against the emerging field of queer theory. Many advocates of sexual rights have suggested that poststructuralist approaches do not have practical political application. In this essay, the authors argue that Butler's work points to a new political pragmatism. In the past, many advocates of sexual rights have focused on essentialized notions of sexual identity. A politically pragmatic approach, informed by Butler's theories, can shift the debate so that the issue of homophobic discrimination, rather than sexual identity, becomes a primary focus of the sexual rights movement.     

Restricted minimax robust designs for misspecified regression models

The authors propose and explore new regression designs. Within a particular parametric class, these designs are minimax robust against bias caused by model misspecification while attaining reasonable levels of efficiency as well. The introduction of this restricted class of designs is motivated by a desire to avoid the mathematical and numerical intractability found in the unrestricted minimax theory. Robustness is provided against a family of model departures sufficiently broad that the minimax design measures are necessarily absolutely continuous. Examples of implementation involve approximate polynomial and second order multiple regression.     

MULTIPLE REGRESSION ANALYSIS APPLIED TO RESIDENTIAL PROPERTIES

An interesting and promising innovation in the assessment of property for tax purposes is the application of multiple regression analysis. Sales prices are regressed on various housing characteristics, and models developed from sold properties are used to generate value estimates for unsold properties. Two important issues relating to the development of such models are (1) the extent to which real estate markets are stable in terms of structural relationships over time, and (2) the extent to which sales prices reflect actual market values. The first issue is important because it affects how current sales must be before they can be used in model development, as well as the amount of information the assessor must collect and maintain on properties. The second issue is important because it concerns the amount of measurement error in the models and the extent to which the assessor/analyst can unambiguously interpret residual variance. These issues are investigated by comparing regression models developed from a sample of properties in Eugene, Oregon, which sold in each of two well separated time periods.     

SENSITIVITY ANALYSIS WITH INTERACTION EFFECTS

The purpose of this paper is to extend the sensitivity analysis methodology as it applies to linear programming. The methodology developed herein is concerned with those changes in a technological coefficient that cause simultaneous changes in the relevant cost coefficients of the objective function. By proceeding from the definitions of feasibility and optimality, the authors develop formulas for determining bounds on the extent to which a technological coefficient, which has a predetermined effect on the corresponding cost coefficient, can vary without changing the optimal set of activities. After the formulas are developed, their use is demonstrated on a product-mix problem. This technique is of interest because changes in the rate at which an input is utilized can be expected to change the cost per unit of a resulting product. This interdependence should be recognized whenever a sensitivity analysis is performed on a technological coefficient of either a cost minimization or a contribution margin maximization problem.     

Racial microaggressions and black social work students: a call to social work educators for proactive models informed by social justice

ABSTRACT

With efforts to create and sustain racial diversity and inclusive practices at institutions of higher education, a corollary emphasis on proactive implementations to support students of color in these environments is essential. Informed by a commitment to social justice, there are rich opportunities for social work to take leadership in strategizing new ways of approaching and prioritizing the wellness and success of students of color. This paper serves to explore the impact of racism specific to Black students by applying the theoretical lens of Racial Battle Fatigue (RBF) to challenge social work education in confronting racialized experiences within their programs. A modified, context-specific framework is proposed that (1) defines microaggressions in social work education programs, 2) prompts critically informed dialogue to enhance how social work as a profession understands the prevalence and role of microaggressions in social work educational contexts, and (3) explores considerations for the unique needs and challenges of Black social work students in an effort to inform strategies to most effectively recruit, retain, support and empower.     

Assessment of an e-training tool for college students to improve accuracy and reduce effort associated with reading nutrition labels

Objective: Nutrition labels are often underutilized due to the time and effort required to read them. We investigated the impact of label-reading training on effort, as well as accuracy and motivation. Participants: Eighty college students (21 men and 59 women). Methods: The training consisted of a background tutorial on nutrition followed by three blocks of practice reading labels to decide which of two foods was the relatively better choice. Label-reading effort was assessed using an eye tracker and motivation was assessed using a 6-item scale of healthy food-choice empowerment. Results: Students showed increases in label-reading accuracy, decreases in label-reading effort, and increases in empowerment. Conclusions: The nutrition label e-training tool presented here, whether used alone or as part of other wellness and health programs, may be an effective way to boost students’ label-reading skills and healthy food choices, before they settle into grocery shopping habits.     

Childhood trauma and problem behavior: Examining the mediating roles of experiential avoidance and mindfulness processes

Objective: Childhood trauma is associated with a variety of risky, unhealthy, or problem behaviors. The current study aimed to explore experiential avoidance and mindfulness processes as mechanisms through which childhood trauma and problem behavior are linked in a college sample. Participants: The sample consisted of college-aged young adults recruited November-December, 2016 (N = 414). Methods: Participants completed self-report measures of childhood trauma, current problem behavior, experiential avoidance, and mindfulness processes. Bootstrapped mediation analyses examined the mechanistic associations of interest. Results: Mediation analyses indicated that experiential avoidance was a significant mediator of the association between childhood trauma and problem behavior. Additionally, multiple mediation analyses indicated that specific mindfulness facets–act with awareness and nonjudgment of inner experience–significantly mediated the same association. Conclusions: Interventions for college students who have experienced childhood trauma might profitably target mechanisms such as avoidance and mindfulness in order to minimize engagement in problem behavior.