icar_sapa

1,199,896 responses from 95,236 respondents to 60 items.

About this table

DescriptionSixty items from 4 cognitive ability tests
ReferenceCondon, 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]
LicenceCC BY 4.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/AD9RVY

Size and shape

Responses1,199,896
Respondents95,236
Items60
Response categories2
Responses per respondent12.599
Responses per item19998.267
Density0.210
LongitudinalFALSE

Classification

age rangeMixed
sampleInternet-based
construct typeCognitive/educational
measurement toolTest
item formatLikert Scale/selected response
primary language(s)eng
construct nameInternational Cognitive Ability Resource (ICAR)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, icar_sapa.R. 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.

ColumnWhat it isSource column
IRW standard columns
idIRW 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
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("icar_sapa")
# Python (needs a free Redivis account)
pip install irw

import irw
df = irw.fetch("icar_sapa")

How to cite

@misc{https://doi.org/10.7910/dvn/ad9rvy,
  doi = {10.7910/DVN/AD9RVY},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/AD9RVY},
  author = {Condon, David and Revelle, William},
  keywords = {Social Sciences, cognitive ability, intelligence, international cognitive ability resource, ICAR, cognitive ability structure},
  title = {Selected ICAR data from the SAPA-Project: Development and initial validation of a public-domain measure},
  publisher = {Harvard Dataverse},
  year = {2015}
}

Version and provenance

IRW versionv540
Redivis datasetitem_response_warehouse v70.0
Redivis dataset DOI10.57761/4qxs-pq87
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v37.0