68,188,858 responses from 999,998 respondents to 135 items.
| Description | Pooled SAPA-Project personality item responses, 2017-2024 annual releases (1M-respondent random sample) |
|---|---|
| Reference | Condon, D. M., & Revelle, W. (2017-2024). Selected personality data from the SAPA-Project, 7 annual releases (07Feb2017-12Jan2024). Harvard Dataverse. https://doi.org/10.7910/DVN/PNGUT5; https://doi.org/10.7910/DVN/7A9YMV; https://doi.org/10.7910/DVN/FUUB2Q; https://doi.org/10.7910/DVN/YOEEDQ; https://doi.org/10.7910/DVN/JOGYUD; https://doi.org/10.7910/DVN/BVF52I; https://doi.org/10.7910/DVN/3BTT82 |
| DOI | 10.7910/DVN/PNGUT5; 10.7910/DVN/7A9YMV; 10.7910/DVN/FUUB2Q; 10.7910/DVN/YOEEDQ; 10.7910/DVN/JOGYUD; 10.7910/DVN/BVF52I; 10.7910/DVN/3BTT82 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/PNGUT5; https://doi.org/10.7910/DVN/7A9YMV; https://doi.org/10.7910/DVN/FUUB2Q; https://doi.org/10.7910/DVN/YOEEDQ; https://doi.org/10.7910/DVN/JOGYUD; https://doi.org/10.7910/DVN/BVF52I; https://doi.org/10.7910/DVN/3BTT82 |
| Responses | 68,188,858 |
|---|---|
| Respondents | 999,998 |
| Items | 135 |
| Response categories | 6 |
| Responses per respondent | 68.189 |
| Responses per item | 505102.652 |
| Density | 0.505 |
| Longitudinal | FALSE |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | SAPA Personality Inventory (SPI-135-27&5) |
|---|---|
| Mean words per item | 4.956 |
| Mean characters per item | 28.444 |
| Mean characters per response | 17.333 |
| Flesch-Kincaid grade level | 4.686 |
cov_agecov_englishcov_sexcov_yeariditemresp
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("condon_2024_sapa_personality")
# Python
pip install git+https://github.com/itemresponsewarehouse/Python-pkg.git
import irw
df = irw.fetch("condon_2024_sapa_personality")
Browse or download it directly on Redivis, or take the Croissant description of this table for use with Hugging Face, Kaggle or OpenML.
| IRW version | v332 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v4.0 |
| Redivis dataset DOI | 10.57761/nnmq-3c77 |
| Manifest pin for this IRW version | v3.0 |
| Metadata source | irw_meta v19.3 |