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These are standalone psychological tools, measures, or norming data I have developed during research projects, provided here for ease of replication and further use. If you use these measures, please be sure to cite the original paper. For full information on the project for which they were developed, click on publication link.

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Race- and Gender- "Neutral" Base Face for Reverse Correlation Studies

I developed this image for use in a stereotyping study using reverse correlation methodology. To do so, I used an a matlab script (here) to combine the 20 most race- and gender-typical faces of Asian, Black, Hispanic, and White women and men in the Chicago Face Database.

See Paper Here
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Hair Texture "Neutral" Black Woman Base Face for Reverse Correlation Studies

I developed this image for use in a stereotyping study with reverse correlation methodology. In this case, my collaborator and I were interested in how the hairstyle presentation of Black women (e.g. natural hair vs. chemically-treated hair) affected the stereotypes applied to them. To create the image, we selected 13 faces of Black women from the Chicago Face Database that had visibly natural hair, and 13 that had visibly altered hair. The faces from the two groups were matched according to the norming data provided with the database, and were then visually averaged using a matlabs script (here). 

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Comprehensive Adjective Checklist

I developed this measure as part of my dissertation work, where I looked at stereotype consensus across a wide array of social domains. To use an adjective checklist measure in this context, I sourced group-linked adjectives from the academic literature, twitter, google, reddit, and a pilot survey. I selected a subset of these adjectives and had norming participants select which of the adjectives were associated with 60 different social groups in 16 social domains. 

List of groups. 

Norming data here. 

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Further Norming of 10k Face Database

Wilma Bainbridge's 10k face database is a great resource for naturalistic face images. Based on the norming data Bainbridge provides for about 2,000 of the faces, I gathered data for a further ____ faces. 

See Paper Here
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