Welcome to the Project Implicit Blog! We'll use this space to highlight new uses of publicly available Project Implicit data, provide brief reviews of current Project Implicit studies that may be of interest, and to discuss ongoing issues in implicit social cognition.

November 4, 2018: Mapping County-level Geographical Variation in Implicit Racial Attitudes
By Liz Redford

By mapping a sample of Project Implicit's publicly-available data for the Race Implicit Association Test, we can start to see how U.S. counties vary in their implicit racial attitudes:

As with similar maps showing IAT scores, the blue scale illustrate relative differences across counties: lighter blues indidate less pro-White bias.

By mapping data by county rather than state, we get a finer-grained picture of geographic variation than averages that cover large areas such as states (as mapped here. However, as a result, these maps can be misleading or less useful when data is missing for many areas (as indicated by counties colored black, listed as "NA" in the map legend/key).

Data and code used to create this map (and a state-level version) can be found here.

October 10, 2018: Using Project Implicit Data for Teaching and Publishing
By Liz Redford

Project Implicit's data is an excellent resource for projects from the undergraduate or training level to publication in top-tier journals (e.g., Sawyer & Gampa, 2018). Access the data and codebooks here.

Training/classroom use
The datasets include a wide variety of variables, including categorical demographics, likert-type items, reaction-time responses, making them convenient for student projects and teaching statistical concepts like hypothesis testing and variable distributions.

Publishing using implicit association test (IAT) data
Looking at trends in implicit association test (IAT) data over time, and how those trends relate to historical events, lends insight into psychological processes in attitudes and stereotyping, all at no cost. The data also includes variables related to explicit attitudes, political ideologies, and participant demographics.

Publishing linking Project Implicit data to other sources
The data include geographic variables allowing you to link this data to other archival sources. For example, Hehman, Flake, & Calanchini (2018) linked Project Implicit data on both implicit and explicit racial biases to regional data on police use of lethal force in policing.

Other data that could potentially be linked to Project Implicit data include that released by:
the Federal Elections Commission
the U.S. Census
the Bureau of justice statistics (e.g., crime victimization)
the Michigan Population Studies Center (e.g., segregation indices for large metro areas)
the General Social Survey (data on Americans from 1972-2012)

September 17, 2018: Implicit Bias Researchers Granted Golden Goose Award
By Liz Redford

Two decades ago, when Mahzarin Banaji, Tony Greenwald, and Brian Nosek first developed the Implicit Association Test, it was a radical idea--that people’s minds might hold associations or biases that they could not recall or report--and it was unclear what this idea might mean for society.

Today, implicit bias has captured the attention of researchers, businesses, journalists, and millions of visitors at Project Implicit. Last week, during a ceremony at the Library of Congress, the Banaji, Greenwald and Nosek were awarded the prestigious Golden Goose Award from the from the American Association for the Advancement of Science, recognizing their work as a major breakthrough with exceptional social impact.

Click here to read more.

September 10, 2018: Dashboard updates: Explore Sexuality and Age IAT data
By Liz Redford

Project Implicit’s dashboard for exploring Implicit Association Test (IAT) data now includes two new datasets: Sexuality (preferences for gay or straight people) and Age (preferences for old or young people). Click here to access the dashboard.

You can take the Sexuality and Age IATs, and get personal feedback on your implicit preferences, here.

August 31, 2018: New dashboard: Explore Implicit Association Test data
By Liz Redford

Project Implicit makes much of its data available online for free, but exploring this data takes time and expertise. Now, anyone can explore basic descriptive statistics (e.g., average IAT scores), visualizations, and correlations for two popular Implicit Association Tests: Race and Gender--Science. Click here to access the dashboard.

You can take the Race and Gender IATs, and get personal feedback on your implicit preferences, here.

June 29, 2018: Changing Implicit Attitudes and Behaviors Through Training

Do interventions that change implicit attitudes also change relevant behaviors? A new paper highlights one intriguing method that may effectively change both unwanted implicit attitudes and behaviors. Click here to read more

June 5, 2018: Mahzarin Banaji on Changing Implicit Bias

Mahzarin Banaji, a Harvard University psychology professor and one of the original founders of Project Implicit, was recently featured in a short video by The Washington Post about trainings seeking to reduce implicit bias. Click here to watch the video, "Can You Change Implicit Bias?"

May 30, 2018: Tracking the Use of Project Implicit Data

Since its founding in 1998, more than 20 million people have completed studies at the Project Implicit websites. Starting in 2014, Project Implicit has made the data from the demonstration site freely available for researchers, journalists, educators, and others who want to use it. Click here to read more

May 24, 2018: How Implicit Attitudes Relate to Beliefs About Multiculturalism and Colorblindness

A recent meta-analysis examined how implicit and explicit attitudes relate to the ideas of multiculturalism and colorblindness. Click here to read more

May 7, 2018: Investigating Changes in Racial Attitudes During the Black Lives Matter Movement

Two researchers recently used Project Implicit data to analyze whether racial attitudes changed during the Black Lives Matter movement. Click here to read more

April 19, 2018: Project Implicit Director of Research Calvin Lai on Implicit Bias Training

Calvin Lai, Project Implicit's Director of Research, wrote a recent article for The Conversation that discusses research on implicit bias training programs. Click here to read Dr. Lai's article, "What's Unconscious Bias Training, and Does it Work?"

April 8, 2018: Using the IAT to Predict Excessive Drinking

A recent paper published in the journal Alcohol and Alcoholism used data collected at the Project Implicit Mental Health site to examine how implicit attitudes about drinking related to drinking behavior. Click here to read more

March 28, 2018: Scientific American Article on Implicit Bias

Researchers Keith Payne, Laura Niemi and John Doris recently wrote an article in Scientific American addressing common misperceptions concerning the concept of 'implicit bias'. Click here to read the article!

March 12, 2018: Reactions to Media Coverage of the IAT

What are common reactions to reading about the Implicit Association Test (IAT) in the popular press? How might reactions to media stories about the IAT shape conceptions of implicit bias more generally? These questions were recently explored in a paper published in the British Journal of Social Psychology by Jeffrey Yen of the University of Guelph and colleagues. Click here to read more

February 1, 2018: American Psychological Society Highlights Two Decades of IAT Research

A recent article published by the Association for Psychological Science (APS) highlights some of the different research applications of the IAT since its creation 20 years ago. Click here to read more

January 28, 2018: Christian Science Monitor Video on Implicit Bias

The Christian Science Monitor recently released a video on the IAT and the notion of implicit bias. Click here to watch the video

January 25, 2018: How Confrontation of Biased Behavior Changes Attitudes and Behavior

Laura Parker, of Purdue University, recently published a series of studies in the Journal of Experimental Social Psychology in which she and her colleagues examined what happens when people are made aware if their biased decision-making. They wanted to know whether confronting people with their biased behavior is enough to change their attitudes, or whether it will cause people to become defensive and dismiss the feedback. Click here to read more

December 2, 2017: The Development of Implicit Attitudes in Children

Most of the studies reviewed on this blog focus on adult participants. However, a number of studies have investigated the implicit racial attitudes of children, and how they may differ from those of adults. What can research tell us about the implicit attitudes of children? Click here to read more

November 15, 2017: Intergroup Contact and Explicit and Implicit Biases

In general, intergroup contact-- exposure to people from groups other than one's own-- is related to lower levels of implicit and explicit bias favoring the relevant group. However, there are multiple types of intergroup contact. Intergroup contact can occur at the individual level (for instance, a White person having consistent interactions with Black friends or colleagues), or at the environmental level (for instance, living in a neighborhood where others frequently have intergroup contact). How does contact relate to individuals' implicit and explicit attitudes? Click here to read more

November 1, 2017: Educating Students About Implicit Bias

How might people better recognize their implicit biases? Can an educational session effectively alter awareness of implicit bias and motivations to address them in judgment and behavior? Project Implicit, in collaboration with the University of Virginia, is currently investigating these questions with an implicit bias education module called Understanding Implicit Bias (UIB). The program was recently covered in an article in Charlottesville's Daily Progress newspaper, as well as in the UVA student newspaper, The Cavalier Daily. Click here to read more

October 21, 2017: How Implicit Biases Can Impact Workplace Interactions

In the workplace, how might a supervisor's biases relate to employee performance? This question was the subject of a paper by economists Dylan Glover, Amanda Pallais, and William Pariente at the Quarterly Journal of Economics. Click here to read more

October 8, 2017: Understanding Geographical Variation in Implicit Racial Attitudes

Our previous blog post looked at some interesting maps showing differences in country or state averages in implicit racial attitudes. This post will delve a little deeper into that issue and review research looking at what forces may create such geographical variation.
Click here to read more

September 11, 2017: Mapping Geographical Variation in Implicit Racial Attitudes

How do countries or states vary in their implicit racial attitudes? More than 10 years of data collection on Project Implicit (freely available here) provides a healthy amount of participants from across the world, particularly for the site's most popular test, which assesses implicit race attitudes. Recently, researchers have compiled maps of state and country-level averages of implicit racial attitudes.
Click here to read more

September 4, 2017: Is There an Alliteration Effect on the IAT?

Researchers using the IAT often worry about what category labels to use. A common concern is that, when choosing between similar category labels, even subtle differences between labels can alter IAT performance. One example comes from IATs looking to assess gender-career associations, meaning how strongly the concepts of male and female are associated with the concepts of career and family. In this IAT, participants categorize typically male or female names as well as words related to family or career. Results typically show stronger associations between male with career and female with family.
Click here to read more

August 30, 2017: Project Implicit Director Kate Ratliff on Implicit Bias in Gainesville

In addition to highlighting ongoing research at Project Implicit, we will also use this space to pass along media involving Project Implicit researchers.

Click here to read Dr. Ratliff's July 14th article, "Taking measure of implicit bias in Gainesville"

August 27, 2017: Understanding How to Best Measure Self-Reported Racial Attitudes

How do you best measure self-reported attitudes on socially sensitive topics? For instance, how much faith would you have in responses to a question asking whether someone wanted to have Black neighbors? Some people might think that such an item would create 'socially desirable responding', meaning that people would report a socially acceptable response even if they felt otherwise.
Click here to read more

August 23, 2017: Using Project Implicit Data to Understand Racial Disparities in Health

How can implicit and explicit racial attitudes be used to understand important life events? What role may implicit and explicit racial bias play in understanding health outcomes for minorities? Researchers Jordan Leitner, Eric Hehman, Ozlem Ayduk and Rodolfo Mendoza-Denton present one investigation of such issues in a recent paper published in Social Science and Medicine.
Click here to read more