New paper lead by Robin Bergh
We attempt to map the principal dimensions of prejudice (i.e. group-based dislike) in the US
https://osf.io/a29my/
We attempt to map the principal dimensions of prejudice (i.e. group-based dislike) in the US
https://osf.io/a29my/
We know from classic work on the social psych of prejudice that some prejudices tend to go together. People who are prejudiced towards Black people tend to be prejudiced towards Gay people and Muslims
We know from Robin's earlier work that the common factor is low power/status. https://pubmed.ncbi.nlm.nih.gov/27560611/
At the same time, we know that some people express prejudice (i.e. group-based dislike) towards liberal and conservative political groups, as well as high status groups.
To suggests that there might be other clusters of prejudice.
To suggests that there might be other clusters of prejudice.
To test this, we needed to use a broad sample of target groups
For more on that see here: https://osf.io/2kcdf/
For more on that see here: https://osf.io/2kcdf/
We conducted several studies in the US looking at how prejudice clusters using (initially) EFA and CFA models.
We defined prejudice as a devaluing sentiment about a group.
We defined prejudice as a devaluing sentiment about a group.
To capture the devaluing aspect of prejudice, we examined peopleâs negativity (lack of warmth) toward a range of groups, net of their negativity toward most any group, especially stereotypically neutral and normative groups(e.g., middle class people).
Across all the studies, we found 3 principal factors: Prejudice against marginalized groups, prejudice against privileged/conservative groups, and prejudice against unconventional groups(with some inverse loadings for conservative groups).
The 3 dimensions had different correlates.
Replicating (lots of) past work: Prej against marginalized groups was associated with low honesty/humility, low agreeableness, low openness, low altruism, and conservative values
Replicating (lots of) past work: Prej against marginalized groups was associated with low honesty/humility, low agreeableness, low openness, low altruism, and conservative values
Prej against unconventional group was associated with low agreeableness, low openness, low altruism, and conservative values
Prej against privileged groups was associated with low extraversion, high openness, high altruism, and liberal values
We also compared the structure of prejudice for White participants compared to people of color. The structure was similar with just some minor deviations
We think this is a useful rough mapping of prejudices in the US. Notably, we do not argue that all prejudices within a clusters are the same. The groups within each cluster face different challenges and have different experiences compared to groups in the same cluster
There is already work that examines how these differences experiences and historical situation affect prejudice. We see our work as a complement to that.
Whereas the former might be a detailed map of city streets, ours is the map of interstates connecting cities. When the pandemic ends and you want to go on a road trip, you need both types of maps.
Just as prejudices within clusters will have differences, prejudice between clusters certainly have differences. The prejudice experienced by marginalized groups is different than prejudice experienced by privileged groups.
Similarly, not all prejudices have the same moral weight and some prejudices may be put to use to encourage social change.
(I've written about this before, https://osf.io/t7vpw/ )
(I've written about this before, https://osf.io/t7vpw/ )
We think that this map might be useful to identifying what types of interventions would work for reducing prejudice towards different types of groups. And will help organize how people study prejudices towards a large array of groups.
Thanks for reading! If you thought this thread was long, the paper is longer

Robin isn't on Twitter, but you can find all his pubs on prejudice, extremism, personality, and values at his GS: https://scholar.google.com/citations?user=jhBwJpgAAAAJ&hl=en