Indiana University-Purdue University Indianapolis (IUPUI) / Stigma is a barrier to recovery for people with mental illness. Problematically, stigma also has been documented among mental health practitioners. To date, however, most research has focused on explicit attitudes regarding mental illness. Little research has examined implicit attitudes, which has the potential to reveal evaluations residing outside of conscious control or awareness. Moreover, research has tended to use a mixed sample of practitioners and programs. The extent to which both explicit and implicit stigma is endorsed by mental health practitioners utilizing evidence-based practices is unknown. The purposes of the current study were to 1) carefully examine implicit and explicit stigmatizing attitudes, or biases, among Assertive Community Treatment (ACT) staff and 2) explore the extent to which explicit and implicit biases predicted the use of treatment control mechanisms. Participants were 154 ACT staff from nine states. They completed implicit (Implicit Association Test) and explicit measures of stigma. Overall, participants exhibited positive explicit and implicit attitudes towards people with mental illness. When modeled using latent factors, implicit, but not explicit bias significantly predicted the endorsement of restrictive or controlling clinical interventions. Practitioners who perceived individuals with mental illness as relatively more dangerous and helpless (both explicit and implicit), as well as participants from Indiana and those with less education were more likely to endorse use of control mechanisms. Thus, despite overall positive attitudes toward those with mental illness for the sample as a whole, even low levels of stigma at the individual level were found to affect clinical care. Mental health professionals, and specifically ACT clinicians, should work to be aware of ways in which their biases influence how they intervene with consumers.

Indiana University-Purdue University Indianapolis (IUPUI) / This study examined the roles of commitment and attributions in uninvolved partner responses to imagined sexual infidelity. Undergraduate students (N = 298) in dating relationships participated in a hypothetical sexual infidelity scenario in which they imagined their romantic partner engaged in sexual intercourse with someone else. Measured-variable path analysis was used to evaluate the predictive ability of commitment and attributions on negative emotional responses and predicted relationship continuation. The hypothesized conceptual model demonstrated poor fit to sample data. Through exploratory model building, an alternative model was generated that demonstrated good fit to sample data. A subset of commitment, investment, predicted negative affect. In addition, attributions predicted predictions of relationship continuation. Negative emotional responses were highly endorsed on a validated measure for emotional responses, the PANAS-X (Watson & Clark, 1994). Further, study findings highlight the importance of the use of a compliance check in assessing successful participant completion of imagined infidelity scenario. Unique study contributions include directions for further conceptual model development for this area of research as well as support for the use of compliance checks and careful selection of infidelity scenario.

Indiana University-Purdue University Indianapolis (IUPUI) / Madeline Heilman’s (1983) Lack of Fit Model, which postulates why discrimination occurs in the selection of sex-typed jobs, has been applied to the interaction of applicant attractiveness. Yet recent research suggests that other appearance variables, namely sex-typed facial features, may be associated with perceptions of fit. Building upon Heilman’s 1983 model, the current study evaluated how sex-typed facial features relate to applicant selection for sex-typed fields. Undergraduate students were recruited for participation during the spring academic semester (n = 413) and data were analyzed using a 2x2x2 ANOVA. Results indicated that selection is significantly impacted by the three-way interaction of applicant sex, facial feature-type, and sex type of the applying field. Further, masculine-featured females and feminine-featured males were significantly less favored for selection within the feminine sex-typed field. Implications of these findings and the differential evaluation of male and female applicants in a feminine field are discussed.