Background: For persons with mental illness, stigma diminishes employment and independent living opportunities as well as participation in psychiatric care. Public stigma interventions have sought to ameliorate these consequences.
Aims: Evaluation of anti-stigma programs' impact is typically accomplished with self-report questionnaires. However, cultural mores encourage endorsement of answers that are socially preferred rather than one's true belief. This problem, social desirability, has been circumvented through development of faux knowledge tests (KTs) (i.e., Error-Choice Tests); written to assess prejudice.
Method: Our KT uses error-choice test methodology to assess stigmatizing attitudes. Test content was derived from review of typical KTs for façade reinforcement. Answer endorsement suggests bias or stigma; such determinations were based on the empirical literature.
Results: KT psychometrics were examined in samples of college students, community members and mental health providers and consumers. Test-retest reliability ranged from fair (0.50) to good (0.70). Construct validity analyses of public stigma indicated a positive relationship with the Attribution Questionnaire and inverse relationships with Self-Determination and Empowerment Scales. No significant relationships were observed with self-stigma measures (recovery, empowerment).
Conclusions: This psychometric evaluation study suggests that a self-administered questionnaire may circumvent social desirability and have merit as a stigma measurement tool.
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http://dx.doi.org/10.3109/09638237.2012.734652 | DOI Listing |
Front Sociol
December 2024
Centre for Appearance Research, School of Social Sciences, University of the West of England, Bristol, United Kingdom.
Introduction: Colourism, prejudice where people are penalised the darker their skin and the further their features are from those associated with whiteness, occurs within and between racialised groups and can affect relationships. In this paper we examine the complex processes through which colourism positions Black and mixed Black-White women in contrasting positions in beauty and desirability hierarchies based on their skin shade.
Method: Semi-structured interviews were conducted with 27 Black ( = 18) or mixed Black-White ( = 9) adults (18 women, 9 men) living in Britain.
Drug Deliv Transl Res
January 2025
Leicester Institute of Pharmaceutical, Health and Social Care Innovations, Leicester School of Pharmacy, De Montfort University, Leicester, LE1 9BH, UK.
The use of dissolving microneedle arrays (dMNA) for intradermal and transdermal drug delivery has been a growing trend in the field for the past decades. However, a lack of specific regulatory standards still hinders their clinical development and translation to market. It is also well-known that dMNA composition significantly impacts their performance, with each new formulation potentially presenting a challenge for developers, manufacturers and regulatory agencies.
View Article and Find Full Text PDFAging Ment Health
December 2024
Department of Psychology and Centre on Aging and Health, University of Regina, Regina, Canada.
Objectives: The COVID Stress Scales (CSS) represent a widely used self-report measure of stress and anxiety-related responses to COVID-19. Although the CSS have been validated across various nations and languages, their psychometric properties have not been assessed at the factor- or item-level with older adults. We aimed to psychometrically evaluate the CSS in older adults.
View Article and Find Full Text PDFJ Affect Disord
December 2024
School of Health Sciences, Division of Nursing, Midwifery and Social Work, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK; Department of Primary Care & Mental Health, Institute of Population Health, Faculty of Health and Life Sciences, University of Liverpool, UK.
Background: Globally, 301 million people have anxiety disorders and 280 million have depression. Talking therapies are the preferred option against pharmacological treatment for these populations. In the UK, over half of those who received low-intensity evidence-based talking therapy for anxiety and/or depression relapsed within a year.
View Article and Find Full Text PDFPNAS Nexus
December 2024
Institute for Human-Centered AI, Stanford University, Palo Alto, CA 94305, USA.
Large language models (LLMs) are becoming more widely used to simulate human participants and so understanding their biases is important. We developed an experimental framework using Big Five personality surveys and uncovered a previously undetected social desirability bias in a wide range of LLMs. By systematically varying the number of questions LLMs were exposed to, we demonstrate their ability to infer when they are being evaluated.
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