The Single Category Implicit Association Test as a measure of implicit social cognition.

2006 ◽  
Vol 91 (1) ◽  
pp. 16-32 ◽  
Author(s):  
Andrew Karpinski ◽  
Ross B. Steinman
Keyword(s):  
Social Cognition ◽  
Implicit Association Test ◽  
Association Test ◽  
Implicit Association ◽  
Implicit Social Cognition ◽  
Single Category

scholarly journals The role of recoding in implicit social cognition: Investigating the scope and interpretation of the ReAL model for the implicit association test

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0250068
Author(s):  
Jimmy Calanchini ◽  
Franziska Meissner ◽  
Karl Christoph Klauer
Keyword(s):  
Social Cognition ◽  
Implicit Association Test ◽  
Cognitive Theory ◽  
Association Test ◽  
Parameter Estimates ◽  
Implicit Association ◽  
Tree Model ◽  
Implicit Social Cognition ◽  
The Real ◽  
Real Model

The ReAL model is a multinomial processing tree model that quantifies the contribution of three qualitatively distinct processes–recoding, associations, and accuracy–to responses on the implicit association test (IAT), but has only been validated on a modified version of the IAT procedure. The initial goal of the present research was to validate an abbreviated version of the ReAL model (i.e., the Brief ReAL model) on the standard IAT procedure. Two experiments replicated previous validity evidence for the ReAL model on the modified IAT procedure, but did not produce valid parameter estimates for the Brief ReAL model on the standard IAT procedure. A third, pre-registered experiment systematically manipulated all of the task procedures that vary between the standard and modified IAT procedures–response deadline, number of trials, trial constraints–to determine the conditions under which the Brief ReAL model can be validly applied to the IAT. The Brief ReAL model estimated theoretically-interpretable parameters only under a narrow range of IAT conditions, but the ReAL model generally estimated theoretically-interpretable parameters under most IAT conditions. We discuss the application of these findings to implicit social cognition research, and their implications to social cognitive theory.

scholarly journals Go/No-go Association Task

2016 ◽  
Author(s):  
Brian A. Nosek ◽  
Mahzarin R. Banaji
Keyword(s):  
Social Cognition ◽  
Implicit Association Test ◽  
Implicit Association ◽  
Implicit Measures ◽  
Implicit Social Cognition ◽  
Association Task ◽  
Automatic Associations ◽  
Single Category ◽  
Contextual Characteristics ◽  
Second Category

Overview=======The GNAT (pronounced like the bug) is a flexible technique designed to measure implicit social cognition. Conceptually similar to other implicit measures like the Implicit Association Test (IAT; Greenwald, McGhee, & Schwartz, JPSP, 1998), the GNAT assesses automatic associations between concept (e.g., gender) and attribute (e.g., evaluation) categories. The GNAT has two features that distinguish it from other measures of implicit social cognition. First, the GNAT is designed to be use signal detection statistics in its calculation of automatic associations (d-prime), but can also be adapted to utilize response latency as its operational dependent variable. Second, the GNAT is flexible in the establishing of contextual characteristics for the evaluative situation. For example, the IAT requires an attitude toward one category (insects) be assessed relative to a second category (flowers). With the GNAT, experimenters can vary whether insects are evaluated in the context of a single category (flowers), a superordinate category (animals), a generic category (objects) or with no context at all.

scholarly journals If Nazi = Red, and Canadian = Red, does Red = Good or Bad? Testing the effects of valenced perceptual cues on Implicit Association Test performance

2019 ◽  
Author(s):  
Michael McCarthy
Keyword(s):  
Social Cognition ◽  
Test Performance ◽  
Implicit Association Test ◽  
Association Test ◽  
Language Theory ◽  
Implicit Association ◽  
Perceptual Cues ◽  
Implicit Social Cognition ◽  
Measurement Tools ◽  
Activated Complex

After two decades of research on implicit social cognition, it has become clear many of the field's theories and practices need to be redressed. Addressed in the present paper are the assumptions and memetic ideas embedded in the language, theory, and measurement tools of so-called implicit social cognition, their historical and contemporary shortcomings, and solutions to avoid these shortcomings and improve scholarship in this field. Specifically, the present paper recommends researchers and theorists adopt more accurate and epistemically honest language in their work, and determine what measures of implicit social cognition measure through experimental research rather than through empirically unjustifiable assumptions. Contributing to this endeavour, the present paper includes an experiment testing whether performance on the Implicit Association Test (IAT) can be changed through the indirect activation of complex associations. Here it is demonstrated that performance on IAT appears to be unaffected by indirectly activated complex associations, ruling out a possible cognitive mechanism that could contribute to performance on the IAT.

scholarly journals Implicit social cognition through years: The Implicit Association Test at age 21

2020 ◽  
Author(s):  
Ottavia M. Epifania ◽  
Egidio Robusto ◽  
Pasquale Anselmi
Keyword(s):  
Social Cognition ◽  
Literature Review ◽  
Implicit Association Test ◽  
Association Test ◽  
Implicit Association ◽  
Implicit Measures ◽  
Implicit Social Cognition ◽  
Self Presentation ◽  
Concurrent Use ◽  
And Behaviors

<p>The advent of implicit measures opened the access to processes of which people might not be completely aware but that can still influence their attitudes, preferences, and behaviors towards different objects. Among the existing implicit measures, the Implicit Association Test (IAT; Greenwald, McGhee, & Schwartz, 1998) is one of the most studied and used. The descriptive literature review presented in this work was aimed at providing an overview of how the IAT has been used from the year of its first introduction until current days. Specifically, the main fields of application of the IAT, the specific topics for which it has been used, and its concurrent use with other implicit measures have been highlighted and described. When possible, information on the samples on which the studies were carried out are reported. Results indicate an on-going growth of the IAT in a constantly wider range of topics. The ability of the IAT to overcome self-presentation biases and to access the implicit aspects of attitudes have been particularly exploited for investigating biases towards different out-groups, especially in sensitive contexts.<br></p>

scholarly journals Implicit social cognition through years: The Implicit Association Test at age 21

2020 ◽  
Author(s):  
Ottavia M. Epifania ◽  
Egidio Robusto ◽  
Pasquale Anselmi
Keyword(s):  
Social Cognition ◽  
Literature Review ◽  
Implicit Association Test ◽  
Association Test ◽  
Implicit Association ◽  
Implicit Measures ◽  
Implicit Social Cognition ◽  
Self Presentation ◽  
Concurrent Use ◽  
And Behaviors

<p>The advent of implicit measures opened the access to processes of which people might not be completely aware but that can still influence their attitudes, preferences, and behaviors towards different objects. Among the existing implicit measures, the Implicit Association Test (IAT; Greenwald, McGhee, & Schwartz, 1998) is one of the most studied and used. The descriptive literature review presented in this work was aimed at providing an overview of how the IAT has been used from the year of its first introduction until current days. Specifically, the main fields of application of the IAT, the specific topics for which it has been used, and its concurrent use with other implicit measures have been highlighted and described. When possible, information on the samples on which the studies were carried out are reported. Results indicate an on-going growth of the IAT in a constantly wider range of topics. The ability of the IAT to overcome self-presentation biases and to access the implicit aspects of attitudes have been particularly exploited for investigating biases towards different out-groups, especially in sensitive contexts.<br></p>

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>

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