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Adaptation and validation of the Implicit Association Test for measuring the stereotype of danger of mentally ill people


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Sfeci, Daria. (2017). Adaptation and validation of the Implicit Association Test for measuring the stereotype of danger of mentally ill people. Diploma Thesis. Filozofski fakultet u Zagrebu, Department of Psychology. [mentor Jokić-Begić, Nataša].

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The aim of this study was to adapt the Croatian version of Implicit Association Test (IAT) for the stereotype of danger of mentally ill people, and to examine some of its psychometric properties. 127 participants were included in the research – 58 psychology students and 67 students of other subjects. IAT, explicit measures of attitudes towards mentally ill people (an attitude scale, emotional thermometer scale and semantic differential scale) were used in the research, together with the social distance scale. IAT showed a great internal reliability. Construct validity was examined by correlations between IAT and explicit measures, and IAT showed no significant correlation with the attitude scale, nor with the emotional thermometer scale. There was a significant correlation with the semantic differential scale. Concurrent validity was examined by testing the difference in attitudes towards mentally ill people between psychology students and students of other subjects. It was shown that psychology students have better attitudes towards mentally ill people, but only when the attitudes were measured by explicit measures – results on IAT didn’t show such difference. Predictive validity was examined by correlating IAT with each of the items of the social distance scale, and the correlation was significant for two out of six items. However, IAT was not a significant predictor of these two items above the explicit attitude scale.

Item Type: Diploma Thesis
Uncontrolled Keywords: Implicit Association Test, implicit attitudes measures, danger stereotype, mentally ill people, stigmatization
Subjects: Psychology > Psihometrija
Departments: Department of Psychology
Supervisor: Jokić-Begić, Nataša
Date Deposited: 07 Feb 2018 15:46
Last Modified: 07 Feb 2018 15:46

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