An extension of the rating scale model with an application to the measurement of change

The polytomous unidimensional Rasch model with equidistant scoring, also known as the rating scale model, is extended in such a way that the item parameters are linearly decomposed into certain basic parameters. The extended model is denoted as the linear rating scale model (LRSM). A conditional maximum likelihood estimation procedure and a likelihood-ratio test of hypotheses within the framework of the LRSM are presented. Since the LRSM is a generalization of both the dichotomous Rasch model and the rating scale model, the present algorithm is suited for conditional maximum likelihood estimation in these submodels as well. The practicality of the conditional method is demonstrated by means of a dichotomous Rasch example with 100 items, of a rating scale example with 30 items and 5 categories, and in the light of an empirical application to the measurement of treatment effects in a clinical study.Work supported in part by the Fonds zur Förderung der Wissenschaftlichen Forschung under Grant No. P6414.     

Does ordinary injustice make extraordinary injustice possible? Gender,structural injustice,and the ethics of refugee determination

Our understanding of the impact of gender on refugee determination has evolved greatly over the last 60 years. Though many people initially believed that women could not be persecuted qua women, it is now frequently recognized that certain forms of gender-related persecution are sufficient to warrant asylum. Yet despite this conceptual progress, many states are still reluctant to consider certain forms of gender-related persecution to be sufficient to warrant asylum or refugee status. One reason for this continued bias is the lack of a framework with which to understand gender-related persecution. I argue that we ought to understand gender-related persecution as resulting from the intersection of individual or state persecution and structural injustice. Structural injustice can be understood as the kind of everyday injustice, harm, and violence that women experience that makes possible the more extraordinary kinds of violence that women are likely to claim as the basis of asylum. Understanding gender-related persecution within the context of structural injustice will, I argue, help us to see it as a legitimate form of persecution and thus allow more just outcomes for women refugees.     

Structural Analysis of the Trauma Symptom Inventory–2

The Trauma Symptom Inventory (TSI; Briere, 1995), a measure of the psychological effects of trauma and other adverse events, was recently expanded and updated (TSI–2; Briere, 2011). This study evaluated 4 competing models of TSI–2 dimensionality and determined the predictive validity of the best fitting solution. Data were collected from 679 adults in the general population. Confirmatory factor analysis indicated that a 4-factor solution best fit the data. All 4 factors of the final model were significant predictors of exposure to trauma or some other very upsetting event, especially posttraumatic stress. Additional research is indicated to further probe the characteristics of the TSI–2, including its dimensionality in other groups.