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Mapping Mental Representations With Free Associations: A Tutorial Using the R Package associatoR Cover

Mapping Mental Representations With Free Associations: A Tutorial Using the R Package associatoR

Open Access
|Jan 2025

Figures & Tables

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Figure 1

Free association user interface of the Small World of Words study (https://smallworldofwords.org) showing the cue word ‘intelligence’ at the top. Below are three lines for respondents to enter free associations, with two already populated by the response words ‘knowledge’ and ‘insight.’

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Figure 2

Overview of the working example with associatoR functions and class ‘associatoR’ object.

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Figure 3

GPT-4-Turbo-generated free associations to the cue word ‘intelligence’. (A) A UMAP projection of the response-based embedding determined word positions. Word and point size show response frequency; colors show membership to clusters. (B) Word clouds for each cluster, with font size indicating word frequency among the responses.

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Figure 4

Comparisons between demographic groups: (A) Comparison of cluster proportions between male and female (high school- and university-educated) simulated subjects. (B) Top 50 high-frequency words among the responses ordered by phi coefficient between male vs. female (high school-vs. university-educated) simulated subjects from more frequent among males (high school-educated) on the left to more frequent among females (university-educated) on the right.

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DOI: https://doi.org/10.5334/joc.407 | Journal eISSN: 2514-4820
Language: English
Submitted on: Mar 22, 2024
Accepted on: Oct 3, 2024
Published on: Jan 6, 2025
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2025 Samuel Aeschbach, Rui Mata, Dirk U. Wulff, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.