Published April 17, 2025 | Version v1
Journal article Open

Differences in psychologists' cognitive traits are associated with scientific divides

  • 1. LMU Munich
  • 2. University of Chicago
  • 3. University of California, Davis
  • 4. University of Wisconsin-Madison

Description

Scientific research is often characterized by schools of thought. We investigate whether these divisions are associated with differences in researchers' cognitive traits such as tolerance for ambiguity. These differences may guide researchers to prefer different problems, tackle identical problems in different ways, and even reach different conclusions when studying the same problems in the same way. We surveyed 7,973 researchers in psychological sciences and investigated links between what they research, their stances on open questions in the field, and their cognitive traits and dispositions. Our results show that researchers' stances on scientific questions are associated with what they research and with their cognitive traits. Further, these associations are detectable in their publication histories. These findings support the idea that divisions in scientific fields reflect differences in the researchers themselves, hinting that some divisions may be more difficult to bridge than suggested by a traditional view of data-driven scientific consensus.

Data availability

Anonymous survey data are available in OSF at https://osf.io/zyec9/ (ref. 80). The wiki of this repository describes cases where we either censored or grouped data to hide rare responses before making data open. Microsoft Academic Graph (MAG) data can be obtained freely for download at https://www.microsoft.com/en-us/research/project/microsoft-academic-graph/. Web of Science (WoS) data can be obtained for a licensing fee from Clarivate https://clarivate.com/. Our open data include anonymous codes that link anonymous survey responses with the anonymous, aggregated bibliometric model (specifically, aggregated cosine similarity metrics). We cannot provide non-aggregated versions of these linked data, including links to MAG/WoS data, as that would involve breaching the terms of informed consent (as specified by our IRB) by making it possible to infer participant identities.

Analysis scripts (in R) are available in OSF at https://osf.io/zyec9/ (ref. 80).

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Additional details

Identifiers

DOI
10.1038/s41562-025-02153-1
Other
oai:uchicago.tind.io:14890

Related works

Funding

Ludwig-Maximilians-Universität München

UChicago Information

Division(s)
Social Sciences Division
Department(s)
Psychology, Sociology
Center(s) or Institute(s)
Data Science Institute