2,039,803 responses from 23,678 respondents to 696 items.
| Description | Personality data from the SAPA project |
|---|---|
| Reference | Condon, D. M., & Revelle, W. (2015). Selected personality data from the SAPA-Project: 08dec2013 to 26jul2014. Condon, David M.; Revelle, William, 2015, "Selected personality data from the SAPA-Project: 08Dec2013 to 26Jul2014", https://doi.org/10.7910/DVN/SD7SVE, Harvard Dataverse, V4, UNF:6:9B60JNIFXXKXmyLhABjoUA== [fileUNF] |
| Licence | CC BY 4.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/SD7SVE |
| Responses | 2,039,803 |
|---|---|
| Respondents | 23,678 |
| Items | 696 |
| Response categories | 6 |
| Responses per respondent | 86.148 |
| Responses per item | 2930.751 |
| Density | 0.124 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Internet-based |
| construct type | Personality |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | personality |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | SAPA-Project 696-item temperament item set (IPIP-based scales and the EPQ-R) |
|---|---|
| Mean words per item | 5.318 |
| Mean characters per item | 30.132 |
| Mean characters per response | 17.333 |
| Flesch-Kincaid grade level | 4.376 |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("sapa_personality")
# Python
pip install irw
import irw
df = irw.fetch("sapa_personality")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |