Towards a performative understanding of deservingness: Merit,gender and the BBC pay dispute

Drawing largely on a high‐profile case of unequal pay at the BBC (British Broadcasting Corporation) as an illustrative example, this conceptual article considers differences and interrelationships between merit and deservingness, where the latter captures how, through appropriate performances, merit is given recognition and value. We propose a performative understanding of deservingness that highlights its gendered and embodied dimensions. Informed by Judith Butler's account of gender performativity, we show that, while merit is conventionally conceptualized as a relatively fixed set of attributes (qualifications, skill) 'attached' to the individual, deservingness captures how, in gendered terms, value and recognition are both claimed and conferred. As we argue, a gendered, deserving subject does not pre‐exist but is performatively constituted through embodied practices and performances of what is seen as worthy in a particular time and place.     

Discretionary Use of Computers: An Empirically Derived Explanatory Model*

This study identifies variables that explain variations in computer use. Factor analysis of data gathered from 422 business administration faculty reveal eight themes among the independent variables. Seven of these factors significantly discriminate among non, minimal, and high users. These results suggest an empirical model for future studies and provide policy insights for decision makers seeking to stimulate computer usage. Additionally, the study shows that there is much commonality between the previously separate organizational innovation and information systems implementation streams. It also demonstrates that motivation theory may be a valid framework within which to study computer use.     

Celebrating Joan Acker: Sociologist,fearless feminist,friend

Joan Acker's life reflects a time when middle‐class women were expected to be satisfied with maintaining the home front, serving husbands and children, not having paid‐work careers. After living “the ideal” for 37 years, Acker took a new path by earning a Ph. D. and producing path‐breaking scholarship that challenged taken‐for‐granted beliefs about gender, family, work, and organizations. Acker spoke “truth to power” and was an academic heroine in posing feminist challenges to injustices involving gender, social class, and race/ethnicity, particularly (but not solely) related to the workplace. This overview lets Joan tell her story and offers reflections on her milestone publications as seen by Pat Martin.     

Design of ISD-1: an instrument for social diagnosis in care homes for older persons*

This article describes the design process and main features of an instrument developed for use in the specialist area of intervention in care homes for older persons. The essential aim of ISD-1 (instrument for social diagnosis) is to permit the correct formulation of social diagnoses and to standardise and define the professional language used by social workers. Its content has been organised into 4 dimensions of social diagnosis, divided into 15 sub-dimensions containing 83 diagnostic categories. This work was performed in Spain, in the 24 care homes of the Madrid Social Care Agency of the Community of Madrid, involving the participation of the 40 social workers practising in these centres. ISD-1 is an easily understood and used tool, of potential use for social workers practising in care homes for older persons and capable of being adapted for use in other institutional environments, as well as being capable of adaptation and translation for its application in other countries.     

Disparities in Healthcare Utilization Among Adults with Obesity in the United States,Findings from the NHIS: 2006–2015

Population Research and Policy Review - Few studies of disparities consider logistical hurdles faced by adults with obesity in obtaining needed healthcare. This study compared adults with obesity...     

A CANONICAL ANALYSIS OF MANAGERIAL-ENVIRONMENTAL RELATIONSHIPS: IMPLICATIONS FOR METHODOLOGY AND POLICY*

The present study uses canonical analysis to examine the contingency model of organizations in the nursing home field. Data on environmental pressures and managerial practices relevant to the decision-making process are analyzed. Results support the theory that managerial practices are contingent on environmental pressures. The implications of these results for health-care decision makers and for future assessments of managerial-environmental relationships are discussed.     

Harm reduction for cannabis: Factor analysis of a protective behavioral strategies survey

Objective: To examine the psychometric properties of a measure of cannabis-specific Protective Behavioral Strategies (PBS), which assesses ways in which students may reduce cannabis-related risk. Participants: Respondents to the American College Health Association – National College Health Assessment II (N = 580) during Spring 2015. Methods: Exploratory Factor Analysis (EFA) and Exploratory Structural Equation Modeling (ESEM) were used to identify and replicate the factor structure of the measure. Results: Results support a four-factor model (Respiratory Health, Frequency/Quantity, Socializing, and General Health) with close approximate fit (Χ² (310) = 565.96, p < .001, RMSEA = .038 (.033, .043; 90% CI), CFI = .961, TLI = .929, SRMR = .033). Support for the convergent validity and construct validity of the measure was also found. Conclusions: This is the initial step in the development of a standard, psychometrically validated measure of cannabis PBS that has the potential to inform future research and interventions.     

Shrinkage inverse regression estimation for model-free variable selection

Summary.  The family of inverse regression estimators that was recently proposed by Cook and Ni has proven effective in dimension reduction by transforming the high dimensional predictor vector to its low dimensional projections. We propose a general shrinkage estimation strategy for the entire inverse regression estimation family that is capable of simultaneous dimension reduction and variable selection. We demonstrate that the new estimators achieve consistency in variable selection without requiring any traditional model, meanwhile retaining the root n estimation consistency of the dimension reduction basis. We also show the effectiveness of the new estimators through both simulation and real data analysis.