scholarly journals A Diffusion Model Approach for Understanding the Impact of 17 Interventions on the Race Implicit Association Test

2020 ◽  
Author(s):  
Jessica Röhner ◽  
Calvin K. Lai
Keyword(s):  
Decision Making ◽  
Implicit Association Test ◽  
Association Test ◽  
Implicit Measure ◽  
Implicit Association ◽  
Implicit Measures ◽  
Long Term Effects ◽  
Sham Intervention ◽  
The Impact ◽  
Speed Accuracy

<p>Performance on implicit measures reflects construct-specific and non-construct-specific processes. This creates an interpretive issue for understanding interventions to change implicit measures: change in performance could reflect changes in the constructs-of-interest or changes in other mental processes. We re-analyzed data from six studies (<i>N</i> = 23,342) to examine the process-level effects of 17 interventions and one sham intervention to change race Implicit Association Test (IAT) performance. Diffusion models decompose overall IAT performance (<i>D</i>-scores) into construct-specific (ease of decision-making), and non-construct-specific processes (speed-accuracy tradeoffs, non-decision-related processes like motor execution). Interventions that effectively reduced <i>D-</i>scores changed ease of decision-making on compatible and incompatible trials. They also eliminated differences in speed-accuracy tradeoffs between compatible and incompatible trials. Non-decision-related processes were impacted by two interventions only. There was little evidence that interventions had any long-term effects. These findings highlight the value of diffusion modeling for understanding the mechanisms by which interventions affect implicit measure performance.</p>

scholarly journals A Diffusion Model Approach for Understanding the Impact of 17 Interventions on the Race Implicit Association Test

2020 ◽  
Author(s):  
Jessica Röhner ◽  
Calvin K. Lai
Keyword(s):  
Decision Making ◽  
Implicit Association Test ◽  
Association Test ◽  
Implicit Measure ◽  
Implicit Association ◽  
Implicit Measures ◽  
Long Term Effects ◽  
Sham Intervention ◽  
The Impact ◽  
Speed Accuracy

<p>Performance on implicit measures reflects construct-specific and non-construct-specific processes. This creates an interpretive issue for understanding interventions to change implicit measures: change in performance could reflect changes in the constructs-of-interest or changes in other mental processes. We re-analyzed data from six studies (<i>N</i> = 23,342) to examine the process-level effects of 17 interventions and one sham intervention to change race Implicit Association Test (IAT) performance. Diffusion models decompose overall IAT performance (<i>D</i>-scores) into construct-specific (ease of decision-making), and non-construct-specific processes (speed-accuracy tradeoffs, non-decision-related processes like motor execution). Interventions that effectively reduced <i>D-</i>scores changed ease of decision-making on compatible and incompatible trials. They also eliminated differences in speed-accuracy tradeoffs between compatible and incompatible trials. Non-decision-related processes were impacted by two interventions only. There was little evidence that interventions had any long-term effects. These findings highlight the value of diffusion modeling for understanding the mechanisms by which interventions affect implicit measure performance.</p>

scholarly journals A diffusion model approach for understanding the impact of 17 interventions on the race Implicit Association Test

2020 ◽  
Author(s):  
Jessica Röhner ◽  
Calvin K. Lai
Keyword(s):  
Decision Making ◽  
Implicit Association Test ◽  
Association Test ◽  
Implicit Measure ◽  
Implicit Association ◽  
Implicit Measures ◽  
Long Term Effects ◽  
Sham Intervention ◽  
The Impact ◽  
Speed Accuracy

Performance on implicit measures reflects construct-specific and non-construct-specific processes. This creates an interpretive issue for understanding interventions to change implicit measures: change in performance could reflect changes in the constructs-of-interest or changes in other mental processes. We re-analyzed data from six studies (N = 23,342) to examine the process-level effects of 17 interventions and one sham intervention to change race Implicit Association Test (IAT) performance. Diffusion models decompose overall IAT performance (D-scores) into construct-specific (ease of decision-making), and non-construct-specific processes (speed-accuracy tradeoffs, non-decision-related processes like motor execution). Interventions that effectively reduced D-scores changed ease of decision-making on compatible and incompatible trials. They also eliminated differences in speed-accuracy tradeoffs between compatible and incompatible trials. Non-decision-related processes were impacted by two interventions only. There was little evidence that interventions had any long-term effects. These findings highlight the value of diffusion modeling for understanding the mechanisms by which interventions affect implicit measure performance.

scholarly journals A Diffusion Model Approach for Understanding the Impact of 17 Interventions on the Race Implicit Association Test

2020 ◽  
pp. 014616722097448
Author(s):  
Jessica Röhner ◽  
Calvin K. Lai
Keyword(s):  
Decision Making ◽  
Implicit Association Test ◽  
Association Test ◽  
Implicit Measure ◽  
Implicit Association ◽  
Implicit Measures ◽  
Long Term Effects ◽  
Trade Offs ◽  
The Impact ◽  
Speed Accuracy

Performance on implicit measures reflects construct-specific and nonconstruct-specific processes. This creates an interpretive issue for understanding interventions to change implicit measures: Change in performance could reflect changes in the constructs of interest or changes in other mental processes. We reanalyzed data from six studies ( N = 23,342) to examine the process-level effects of 17 interventions and one sham intervention to change race implicit association test (IAT) performance. Diffusion models decompose overall IAT performance ( D-scores) into construct-specific (ease of decision-making) and nonconstruct-specific processes (speed–accuracy trade-offs, non-decision-related processes like motor execution). Interventions that effectively reduced D-scores changed ease of decision-making on compatible and incompatible trials. They also eliminated differences in speed–accuracy trade-offs between compatible and incompatible trials. Non-decision-related processes were affected by two interventions only. There was little evidence that interventions had any long-term effects. These findings highlight the value of diffusion modeling for understanding the mechanisms by which interventions affect implicit measure performance.

How tasty is governance? Understanding the effect of a “cooperative” label on perceived taste of food products

2020 ◽  
Vol 35 (4) ◽  
pp. 23-44
Author(s):  
Axelle Faure-Ferlet ◽  
Sonia Capelli ◽  
William Sabadie
Keyword(s):  
Transfer Process ◽  
Implicit Association Test ◽  
Food Products ◽  
Association Test ◽  
Implicit Association ◽  
Implicit Measures ◽  
Explicit Measures ◽  
Cooperative Governance

This research investigates whether a label on cooperative governance influences the perceived taste of a product through a sensation transfer process. The first study measures perceived taste of unbranded products implicitly (via an Implicit Association Test) and explicitly (via a survey). The label improves the implicitly and explicitly perceived taste. The second study, reproducing the same protocols with branded products, confirms this result for implicitly perceived taste, but the effect of the label on explicitly perceived taste disappears. Because implicit measures are more predictive of routine purchasing than are explicit measures, we recommend spotlighting cooperative governance on food products.

scholarly journals The target/perpetrator brief-implicit association test (B-IAT): an implicit instrument for efficiently measuring discrimination based on race/ethnicity, sex, gender identity, sexual orientation, weight, and age

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Maddalena Marini ◽  
Pamela D. Waterman ◽  
Emry Breedlove ◽  
Jarvis T. Chen ◽  
Christian Testa ◽  
...  
Keyword(s):  
Sexual Orientation ◽  
Gender Identity ◽  
Implicit Association Test ◽  
Mental Representations ◽  
Association Test ◽  
Implicit Association ◽  
Implicit Measures ◽  
Race Ethnicity ◽  
Implicit And Explicit ◽  
Explicit Measures

Abstract Background To date, research assessing discrimination has employed primarily explicit measures (i.e., self-reports), which can be subject to intentional and social desirability processes. Only a few studies, focusing on sex and race/ethnicity discrimination, have relied on implicit measures (i.e., Implicit Association Test, IAT), which permit assessing mental representations that are outside of conscious control. This study aims to advance measurement of discrimination by extending the application of implicit measures to multiple types of discrimination and optimizing the time required for the administration of these instruments. Methods Between September 27th 2019 and February 9th 2020, we conducted six experiments (984 participants) to assess implicit and explicit discrimination based on race/ethnicity, sex, gender identity, sexual orientation, weight, and age. Implicit discrimination was measured by using the Brief-Implicit Association Test (B-IAT), a new validated version of the IAT developed to shorten the time needed (from ≈15 to ≈2 min) to assess implicit mental representations, while explicit discrimination was assessed using self-reported items. Results Among participants (mean age = 37.8), 68.6% were White Non-Hispanic; 69% were females; 76.1% were heterosexual; 90.7% were gender conforming; 52.8% were medium weight; and 41.5% had an advanced level of education. Overall, we found implicit and explicit recognition of discrimination towards all the target groups (stronger for members of the target than dominant groups). Some exceptions emerged in experiments investigating race/ethnicity and weight discrimination. In the racism experiment, only people of Color showed an implicit recognition of discrimination towards the target group, while White people were neutral. In the fatphobia experiment, participants who were not heavy showed a slight implicit recognition of discrimination towards the dominant group, while heavy participants were neutral. Conclusions This study provides evidence that the B-IAT is a valuable tool for quickly assessing multiple types of implicit discrimination. It shows also that implicit and explicit measures can display diverging results, thus indicating that research would benefit from the use of both these instruments. These results have important implications for the assessment of discrimination in health research as well as in social and psychological science.

Persuading the Implicit Mind: Changing Negative Implicit Evaluations With an 8-Minute Podcast

2021 ◽  
pp. 194855062110371
Author(s):  
Benedek Kurdi ◽  
Thomas C. Mann ◽  
Melissa J. Ferguson
Keyword(s):  
External Validity ◽  
Memory Retrieval ◽  
Implicit Association Test ◽  
Association Test ◽  
Implicit Association ◽  
Implicit Measures ◽  
Trophy Hunting ◽  
American Students

Implicit evaluations can be malleable via reinterpretation of previously encountered evidence. Here, we report three studies ( N = 1,007) investigating the robustness of this updating modality using ecologically realistic materials. Participants were first introduced to a target who killed an endangered black rhino in Namibia. They then listened to a real podcast providing counterattitudinal information on the benefits of trophy hunting. The podcast resulted in considerable revisions of initially negative implicit evaluations toward positivity, consistently across implicit measures (affect misattribution procedures vs. implicit association test), samples (American students vs. nonstudents from various countries), study settings (lab vs. online), and the presence versus absence of a memory retrieval manipulation prompting reflection on participants’ views on trophy hunting. Taken together, these findings suggest that reinterpretation can shift implicit evaluations of even highly negative targets, including under conditions of external validity.

The Brief Implicit Association Test

2009 ◽  
Vol 56 (4) ◽  
pp. 283-294 ◽  
Author(s):  
N. Sriram ◽  
Anthony G. Greenwald
Keyword(s):  
Implicit Association Test ◽  
Association Test ◽  
Implicit Association ◽  
Implicit Measures ◽  
Stimulus Response ◽  
Implicit Stereotypes ◽  
The Subject

The Brief Implicit Association Test (BIAT) consists of two blocks of trials with the same four categories and stimulus-response mappings as the standard IAT, but with 1/3 the number of trials. Unlike the standard IAT, the BIAT focuses the subject on just two of each block’s four categories. Experiments 1 and 2 demonstrated that attitude BIATs had satisfactory validity when good (but not bad) was a focal category, and that identity IATs had satisfactory validity when self (but not other) was a focal category. Experiment 2 also showed that a good-focal attitude BIAT and a self-focal identity BIAT were psychometrically similar to standard IAT measures of the same constructs. Experiment 3 presented each of six BIATs twice, showing that procedural variables had no more than minor influences on the resulting implicit measures. Experiment 4 further demonstrated successful use of the BIAT to measure implicit stereotypes.

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.

The Ms. Stereotype Revisited: Implicit and Explicit Facets

2007 ◽  
Vol 31 (3) ◽  
pp. 305-310
Author(s):  
Kelly A. Malcolmson ◽  
Lisa Sinclair
Keyword(s):  
Implicit Association Test ◽  
Short Description ◽  
Association Test ◽  
Target Person ◽  
Implicit Measure ◽  
Implicit Association ◽  
Implicit And Explicit

Implicit and explicit stereotypes toward the title Ms. were examined. Participants read a short description of a target person whose title of address varied (Ms., Mrs., Miss, Mr.). They then rated the person on agentic and communal traits and completed an Implicit Association Test. Replicating earlier research ( Dion, 1987 ), at an explicit level, women using the title Ms. were seen as less communal than individuals using the title Mrs. or Mr. and more agentic than individuals using the titles Mrs., Mr., or Miss. This time, however, women using the title Miss were also seen as less communal and more agentic than women using the title Mrs. but not as agentic as women using the title Ms. On the implicit measure, Ms. was relatively more associated with agentic than communal traits compared to Mrs. but not to Miss.

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