1,199,896 responses from 95,236 respondents to 60 items.
| Description | Sixty items from 4 cognitive ability tests |
|---|---|
| Reference | Condon, D. M., & Revelle, W. (2016). Selected ICAR data from the SAPA-Project: Development and initial validation of a public-domain measure. Condon, David; Revelle, William, 2015, "Selected ICAR data from the SAPA-Project: Development and initial validation of a public-domain measure", https://doi.org/10.7910/DVN/AD9RVY, Harvard Dataverse, V2, UNF:6:73sL85mhjMM9L1xA7R6JTA== [fileUNF] |
| Licence | CC BY 4.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/AD9RVY |
| Responses | 1,199,896 |
|---|---|
| Respondents | 95,236 |
| Items | 60 |
| Response categories | 2 |
| Responses per respondent | 12.599 |
| Responses per item | 19998.267 |
| Density | 0.210 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| sample | Internet-based |
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | International Cognitive Ability Resource (ICAR) |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("icar_sapa")
# Python
pip install irw
import irw
df = irw.fetch("icar_sapa")
| 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 |