80,100 responses from 1,335 respondents to 60 items.
| Description | The item-level data comes from 1,335 participants from UBC. Participants were randomly assigned to complete the BFI-2 in one of the four scale formats: the original Likert version or one of three alternative formats (Expanded, Item-Specific-Full, or Item-Specific-Light). |
|---|---|
| Reference | Zhang, X., Huang, M., Sun, J., & Savalei, V. (2025). Improving the measurement of the Big Five via alternative formats for the BFI-2. PubMed, 1–22. https://doi.org/10.1080/00223891.2025.2531187 |
| DOI | 10.1080/00223891.2025.2531187 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/d79c3 |
| Responses | 80,100 |
|---|---|
| Respondents | 1,335 |
| Items | 60 |
| Response categories | 5 |
| Responses per respondent | 60 |
| Responses per item | 1,335 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational, Internet-based |
| construct type | Personality |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | The Big Five Inventory-2 (BFI-2) and three Alternative Formats |
iditemitemcov_formatresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("bfi2_zhang_2025")
# Python
pip install irw
import irw
df = irw.fetch("bfi2_zhang_2025")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v19.0 |
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
| Manifest pin for this IRW version | v19.0 |
| Metadata source | irw_meta v23.0 |