The international personality item pool and the future of public-domain personality measures
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The personality analysis is based on around 72 thousand participants with at least 1,000 words who took a Big Five questionnaire.
“We created age and gender-adjusted word clouds for each personality factor based on around 72 thousand participants with at least 1,000 words across their Facebook status updates, who took a Big Five questionnaire [91].”
From Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013) · cites this paper as [91]
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- Authors
- Goldberg, L. R., Johnson, J. A., Eber, H. W., Hogan, R., Ashton, M. C., Cloninger, C. R., & Gough, H. G.
- Affiliations
- Oregon Research Institute (US)
- Pennsylvania State University (US)
- Brock University (CA)
- Washington University in St. Louis (US)
- University of California, Berkeley (US)
- Corresponding author
- Johnson, John A.
- Venue
- Journal of Research in Personality
- Publisher
- Elsevier BV
- Published
- 2006-02
- Volume
- 40
- Issue
- 1
- Pages
- 84-96
- ISSN
- 0092-6566 (ISSN-L)
- OpenAlex
- W2136219431
- Cited by
- 3,185
- References
- 37
- Citations by year
- 2026: 111 · 2025: 151 · 2024: 188 · 2023: 182 · 2022: 186 · 2021: 209 · 2020: 256 · 2019: 174 · 2018: 192 · 2017: 195 · 2016: 184 · 2015: 210 · 2014: 206 · 2013: 142 · 2012: 170
- FWCI
- 51.36
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Research in Personality (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
- Social Sciences › Psychology › Applied Psychology › Psychological Testing and Assessment
- Keywords
- International Personality Item Pool, personality assessment, cross-cultural translation, scoring keys
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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