366,849 responses from 700 respondents to 525 items.
| Description | Big Five and Metatraits |
|---|---|
| Reference | DeYoung, C. G., Tai, M. H., Chou, E., & Mlačić, B. (2026). Are the metatraits fact or artifact? Ruling out alternative explanations for the higher-order factors of the Big Five. Journal of Personality and Social Psychology, 130(6), 1190–1207. |
| DOI | 10.1037/pspp0000593 |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/GHYMEV |
| Responses | 366,849 |
|---|---|
| Respondents | 700 |
| Items | 525 |
| Response categories | 7 |
| Responses per respondent | 524.070 |
| Responses per item | 698.760 |
| Density | 0.998 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Targeted/specific |
| construct type | Personality |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Big Five and Metatraits |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gerard_2018_metatraits")
# Python
pip install irw
import irw
df = irw.fetch("gerard_2018_metatraits")
@article{DeYoung_2026, title={Are the metatraits fact or artifact? Ruling out alternative explanations for the higher-order factors of the Big Five.}, volume={130}, ISSN={0022-3514}, url={http://dx.doi.org/10.1037/pspp0000593}, DOI={10.1037/pspp0000593}, number={6}, journal={Journal of Personality and Social Psychology}, publisher={American Psychological Association (APA)}, author={DeYoung, Colin G. and Tai, Ming Him and Chou, Edward and Mlačić, Boris}, year={2026}, month=June, pages={1190–1207} }
| IRW version | v407 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v20.0 |
| Redivis dataset DOI | 10.57761/ymk1-v324 |
| Manifest pin for this IRW version | v20.0 |
| Metadata source | irw_meta v24.0 |