Personalized SC-IAT: A Possible Way of Reducing the Influence of Societal Views on Assessments of Implicit Attitude toward Smoking

2014 ◽  
Vol 115 (1) ◽  
pp. 13-25 ◽  
Author(s):  
Brigitte Bardin ◽  
Stéphane Perrissol ◽  
Jacques Py ◽  
Céline Launay ◽  
Florian Escoubès
Keyword(s):  
Implicit Association Test ◽  
Association Test ◽  
Implicit Attitude ◽  
Implicit Association ◽  
Single Category ◽  
Societal Views

The Implicit Association Test (IAT) is used to assess attitude beyond the limitations of explicit measurements. Nevertheless, the test requires opposition between two attitude objects and also measures an extra-personal dimension of attitude that may reflect associations shared collectively. The first limitation can be overcome by using a Single Category IAT and the second by a personalized version of IAT. This study compares attitudes to smoking measured using a Single Category IAT with a personalized version of the test. The results, collected from 111 students, showed that the Single Category IAT did not distinguish smokers from non-smokers; smokers had negative scores. The personalized version did distinguish smokers from non-smokers, and smokers' scores seem to be neutral.

Implicit Association Test: Separating Transsituationally Stable and Variable Components of Attitudes toward Gay Men

2003 ◽  
Vol 50 (1) ◽  
pp. 33-48 ◽  
Author(s):  
Melanie C. Steffens ◽  
Axel Buchner
Keyword(s):  
Gay Men ◽  
Implicit Association Test ◽  
Structural Equation ◽  
Implicit Attitudes ◽  
Association Test ◽  
Situational Factors ◽  
Situational Factor ◽  
Equation Modeling ◽  
Implicit Attitude ◽  
Implicit Association

Implicit attitudes are conceived of as formed in childhood, suggesting extreme stability. At the same time, it has been shown that implicit attitudes are influenced by situational factors, suggesting variability by the moment. In the present article, using structural equation modeling, we decomposed implicit attitudes towards gay men into a person factor and a situational factor. The Implicit Association Test ( Greenwald, McGhee, & Schwartz, 1998 ), introduced as an instrument with which individual differences in implicit attitudes can be measured, was used. Measurement was repeated after one week (Experiment 1) or immediately (Experiment 2). Explicit attitudes towards gay men as assessed by way of questionnaires were positive and stable across situations. Implicit attitudes were relatively negative instead. Internal consistency of the implicit attitude assessment was exemplary. However, the within-situation consistency was accompanied by considerable unexplained between-situation variability. Consequently, it may not be adequate to interpret an individual implicit attitude measured at a given point in time as a person-related, trait-like factor.

Intentional Faking of the Single Category Implicit Association Test and the Implicit Association Test

2011 ◽  
Vol 109 (1) ◽  
pp. 219-230 ◽  
Author(s):  
Stefan Stieger ◽  
Anja S. Göritz ◽  
Andreas Hergovich ◽  
Martin Voracek
Keyword(s):  
Implicit Association Test ◽  
Reaction Times ◽  
Association Test ◽  
Implicit Association ◽  
Implicit Measures ◽  
Specific Instruction ◽  
Single Attribute ◽  
Attribute Category ◽  
Single Category

The Implicit Association Test (IAT) provides a relative measure of implicit association strengths between target and attribute categories. In contrast, the Single Category Implicit Association Test (SC–IAT) measures association strength with a single attribute category. This can be advantageous if a complementary category—as used in the IAT—cannot be composed or is undesired. If the SC–IAT is to be a meaningful supplement to the IAT, it should meet the same requirements. In an online experiment with a large and heterogeneous sample, the fakability of both implicit measures was investigated when measuring anxiety. Both measures were fakable through specific instruction (e.g., “Slow down your reactions”) but unfakable through nonspecific faking instruction even though nonspecific instruction was given immediately before the critical blocks (e.g., “Alter your reaction times”). When comparing the methodological quality of both implicit measures, the SC–IAT had lower internal consistency than the IAT. Moreover, with specific faking instructions, the SC–IAT was possible to fake to a larger extent than the IAT.

scholarly journals Mixing the implicit: A Linear Mixed-Effects Models approach for a Rasch analysis of the Implicit Association Test and the Single Category Implicit Association Test

2021 ◽  
Author(s):  
Ottavia M. Epifania ◽  
Pasquale Anselmi ◽  
Egidio Robusto
Keyword(s):  
Social Sciences ◽  
Implicit Association Test ◽  
Rasch Analysis ◽  
Association Test ◽  
Mixed Effects Models ◽  
Implicit Association ◽  
Implicit Measures ◽  
Linear Mixed Effects Models ◽  
Linear Mixed Effects ◽  
Single Category

<div>The indirect investigation of psychological constructs has become prominent in social sciences thanks to the so-called implicit measures. Different implicit measures can be administered concurrently to the same respondents for obtaining detailed and multifaceted information on the constructs of interest. In this study, a Rasch analysis of accuracy and time responses of two commonly used implicit measures is presented. The focus in on the concurrent administration of the Implicit Association Test (IAT; Greenwald et al., 1998) and the Single Category IAT (SC-IAT; Karpinski & Steinman, 2006). Linear Mixed-Effects Models are used to address the within– and between–measures sources of variability and to obtain a Rasch parametrization of the data. By disentangling the respondent’s contribution from the stimulus contribution to the observed responses, these models allow for delving deeper on the functioning of the IAT and the SC-IAT, as well as for grasping a better understanding of the processes driving a behavioral decision. Implications of the results for social sciences and future research directions are discussed.</div>

scholarly journals Testing of a paper-and-pencil Personalized Single Category Implicit Association Test (SC-IAT-P)

2016 ◽  
Vol 29 (1) ◽  
pp. 31 ◽  
Author(s):  
Brigitte Bardin ◽  
Stéphane Perrissol ◽  
Jacques Py ◽  
Yoann Fos ◽  
Nicolas Souchon
Keyword(s):  
Implicit Association Test ◽  
Association Test ◽  
Implicit Association ◽  
Single Category ◽  
Paper And Pencil
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