457,650 responses from 5,650 respondents to 81 items.
One of 2 tables from the same source; this one measures Creative Achievement Questionnaire (CAQ), revised SAPA version. The others are listed under Related tables.
| Description | Revised Creative Achievement Questionnaire (CAQ) from the SAPA project: 81 check-all-that-apply achievement statements across 10 domains (inventions, music, theater/film, science, creative writing, dance, cooking, visual art, humor, architecture/design), scored 1 checked / 0 not checked; N = 5,650 online respondents. No covariates in the deposit's CAQ file. |
|---|---|
| Reference | Condon, D., Zabelina, D., & Revelle, W. (2025). Reproducibility Data for: Creative Achievement and Individual Differences (V5). Harvard Dataverse. https://doi.org/10.7910/DVN/2IBBMG |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/2IBBMG |
| Responses | 457,650 |
|---|---|
| Respondents | 5,650 |
| Items | 81 |
| Response categories | 2 |
| Responses per respondent | 81 |
| Responses per item | 5,650 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Internet-based |
| construct type | Personality |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Creative Achievement Questionnaire (CAQ), revised SAPA version |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, condon_2025_caq.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). | RID |
item | IRW standard Item identifier. | made in the build script |
resp | IRW 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.
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_2025_caq")
# Python
pip install irw
import irw
df = irw.fetch("condon_2025_caq")
@misc{https://doi.org/10.7910/dvn/2ibbmg,
doi = {10.7910/DVN/2IBBMG},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/2IBBMG},
author = {Condon, David and Zabelina, Darya and Revelle, William},
keywords = {Social Sciences, Creative Achievement, Personality, Cognitive ability, Vocational interests},
title = {Reproducibility Data for: Creative Achievement and Individual Differences},
publisher = {Harvard Dataverse},
year = {2021}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.5 |
| Redivis dataset DOI | 10.57761/41xy-5k56 |
| Manifest pin for this IRW version | v8.5 |
| Metadata source | irw_meta v44.0 |