Loading wiki pages...

Wiki Version:
<p>Menatti, A., Smyth, F. L., Teachman, B. A., & Nosek, B. A. (2013). Reducing stigma toward individuals with mental illnesses: A brief, online manipulation. <em>Stigma Research and Action</em>.</p> <p><strong>Abstract</strong></p> <p><strong>Purpose</strong>: Our goal was to determine the effectiveness of a brief online intervention designed to reduce stigmarelevant attitudes toward mentally ill individuals. We examined whether the experience of completing a Brief Implicit Association Test (BIAT) measuring attitudes toward people with mental illnesses alters explicit stigma in two studies.</p> <p><strong>Methods</strong>: In Study 1, participants completed the BIAT and received feedback about their individual level of implicit bias. Study 2 added a condition in which the BIAT was administered without feedback on performance.</p> <p><strong>Results</strong>: Study 1 showed that the intervention was effective in reducing stigma-relevant attitudes toward mentally ill individuals. Study 2 showed that receiving feedback about one’s own implicit bias was not necessary for the intervention to reduce stigma.</p> <p><strong>Conclusion</strong>: These studies show that the BIAT intervention may be effective at reducing explicit stigmatizing attitudes toward individuals with mental illnesses, at least in the short-term. Implications: This brief, accessible, and cost-effective stigma reduction strategy may be of use to community organizations whose mission is to address issues surrounding stigmatization in real-world settings.</p>
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.