In this project I will be using the Chicago Face Database as my main dataset.
Download link: https://www.chicagofaces.org/
A C K N O W L E D G E M E N T
CFD: Ma, Correll, & Wittenbrink (2015). The Chicago Face Database: A Free Stimulus Set of Faces and Norming Data. Behavior Research Methods, 47, 1122-1135. https://doi.org/10.3758/s13428-014-0532-5.
CFD-MR: Ma, Kantner, & Wittenbrink, (2020). Chicago Face Database: Multiracial Expansion. Behavior Research Methods. https://doi.org/10.3758/s13428-020-01482-5.
CFD-INDIA: Lakshmi, Wittenbrink, Correll, & Ma (2020). The India Face Set: International and Cultural Boundaries Impact Face Impressions and Perceptions of Category Membership. Frontiers in Psychology, 12, 161. https://doi.org/10.3389/fpsyg.2021.627678.
The dataset is composed of various sections.
I will be focused on the main CFD folder.
The CFD folder contains a total of 597 pictures of individuals of 4 different ethnics groups: Asian, Black, Latin and White. Each group is divided in Females and Males. For each ethnic group we have male and female:
I am going to collect two types of values for each subcategory:
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Observed frequencies: are the actual number of individuals aged over 60 in each ethnic subcategory in your dataset. This task is done manually 😣
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Expected frequencies: are what you would expect if there was no age bias.