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 |
| sample | Internet-based |
|---|---|
| measurement tool | Survey/questionnaire |
| primary language(s) | eng |
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 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, condon_2024_sapa_personality.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | age |
cov_english | Covariate | english |
cov_sex | Covariate | sex |
cov_year | Covariate | made in the build script |
What item codes and covariate values stand for is in the codebook released with the source data.
This table is larger than Redivis serves without a login, so download it with one of the packages below or while signed in to Redivis.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("condon_2024_sapa_personality")
# Python
pip install irw
import irw
df = irw.fetch("condon_2024_sapa_personality")
@dataset{Condon_Revelle_2017,
author = {Condon, Douglas M. and Revelle, William},
title = {Selected personality data from the {SAPA}-{P}roject, 7 annual releases (07{F}eb2017-12{J}an2024)},
year = {2017--2024},
publisher = {Harvard Dataverse},
doi = {10.7910/DVN/PNGUT5},
url = {https://doi.org/10.7910/DVN/PNGUT5}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v14.0 |
| Redivis dataset DOI | 10.57761/rkkt-p907 |
| Manifest pin for this IRW version | v14.0 |
| Metadata source | irw_meta v44.0 |