Swimming against the Stream?: Mindfulness as a Psychosocial Research Methodology

In this article, we extend psychosocial research methodology by integrating a breaching experiment, influenced by ethnomethodological sociology, with aspects of mindfulness practice, influenced by Buddhist traditions. We offer an empirical investigation of what happens when researcher-participants subtly “swim against the stream” of normative public social conduct in a capital city setting. Our qualitative analysis explores a single case from a corpus of 172 first-person retrospective accounts of standing still and doing nothing in a busy, public place. We investigate the qualitative aspects of how one researcher-participant arguably adopted a mindful, beginner’s mind orientation toward the flow of psychosocial consciousness. We empirically investigate this psychosocial orientation of mindfulness by integrating Wetherell’s concept of affective-discursive practice with James’ stream of consciousness. Mindfulness offers a specific, embodied reorientation toward psychosocial flows. We discuss the methodological implications and limitations of this reorientation for psychosocial research.     

Competence and warmth stereotypes prompt mental illness stigma through emotions

Public stigma toward mental illness subgroups (11 mental illness subgroups and 2 subgroups perceived to have mental illness) was examined. Competence and warmth stereotypes were used to predict emotional reactions posited to mediate behavioral inclinations ranging from passive to active harm or facilitation. Fear mediated the relationship between low competence and warmth stereotypes and passive harm. Anger, and to a lesser extent fear, mediated the relationship between low warmth and active harm. Pity mediated the relationship between warmth and active facilitation. Neither envy nor admiration linked stereotypes to behavioral reactions. Results suggest that emotions share motivational direction with behavior, to approach or to avoid, rather than simply sharing valence. Implications for research on stigma toward mental illness subgroups are discussed.     

Advancing the Assessment of Personality Pathology With the Cognitive-Affective Processing System

The Cognitive-Affective Processing System (CAPS) is a dynamic and expansive model of personality proposed by Mischel and Shoda (1995) Mischel, W., & Shoda, Y. (1995). A cognitive-affective system theory of personality: Reconceptualizing situations, dispositions, dynamics, and invariance in personality structure. Psychological Review, 102, 246–268.[Crossref], [PubMed], [Web of Science ®] , [Google Scholar] that incorporates dispositional and processing frameworks by considering the interaction of the individual and the situation, and the patterns of variation that result. These patterns of cognition, affect, and behavior are generally defined through the use of if … then statements, and provide a rich understanding of the individual across varying levels of assessment. In this article, we describe the CAPS model and articulate ways in which it can be applied to conceptualizing and assessing personality pathology. We suggest that the CAPS model is an ideal framework that integrates a number of current theories of personality pathology, and simultaneously overcomes a number of limits that have been empirically identified in the past.     

Revisiting the 4-Parameter Item Response Model: Bayesian Estimation and Application

There has been renewed interest in Barton and Lord’s (An upper asymptote for the three-parameter logistic item response model (Tech. Rep. No. 80-20). Educational Testing Service, 1981) four-parameter item response model. This paper presents a Bayesian formulation that extends Béguin and Glas (MCMC estimation and some model fit analysis of multidimensional IRT models. Psychometrika, 66 (4):541–561, 2001) and proposes a model for the four-parameter normal ogive (4PNO) model. Monte Carlo evidence is presented concerning the accuracy of parameter recovery. The simulation results support the use of less informative uniform priors for the lower and upper asymptotes, which is an advantage to prior research. Monte Carlo results provide some support for using the deviance information criterion and \(\chi ^{2}\) index to choose among models with two, three, and four parameters. The 4PNO is applied to 7491 adolescents’ responses to a bullying scale collected under the 2005–2006 Health Behavior in School-Aged Children study. The results support the value of the 4PNO to estimate lower and upper asymptotes in large-scale surveys.