Data for: "The authors” make me think equally of women and men: Exploring mixed-gender representations in a visual categorization task

DOI

This dataset included two exploratory experiments that utilised the innovative Face Pair Task. In both experiments the visual stimuli shown were pairs of faces. Each pair was either two female faces, two male faces, or one male and one female face. In Experiment 1 only binary gender (i.e., feminine and masculine) word primes were used, and the experimental blocks were presented in a set order. In Experiment 2 gender-balanced primes were added, and block order was counterbalanced. This dataset contains eight files; two RStudio code files allowing for easy replication of how the analyses was conducted, two .txt files containing this code, two datafiles containing the raw data the code draws from, one .csv document containing raw data the code draws from, and one readme.txt file.

Identifier
DOI https://doi.org/10.18710/WGSPJG
Metadata Access https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/WGSPJG
Provenance
Creator Kim, Jonathan ORCID logo; Öttl, Anton; Behne, Dawn; Gygax, Pascal; Hyönä, Jukka; Gabriel, Ute ORCID logo
Publisher DataverseNO
Contributor Jonathan Kim; NTNU – Norwegian University of Science and Technology
Publication Year 2023
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Jonathan Kim (NTNU – Norwegian University of Science and Technology)
Representation
Resource Type Dataset
Format text/plain; text/x-r-notebook; text/comma-separated-values
Size 14848; 34399; 776598; 29572; 2039246; 499
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Humanities; Life Sciences; Linguistics; Psychology; Social Sciences; Social and Behavioural Sciences; Soil Sciences