christian_2025_imagination

1,080 responses from 108 respondents to 10 items.

About this table

DescriptionImagination, perceived intelligence and willingness-to-act items (Imgn 4, P_Intlg 3, Wta 3), 10 items, 1-5; N = 108; no covariates.
ReferenceChristian, M., Nan, G., Dewantara, Y. F., Geng, B., Muzammil, O. M., & Gularso, K. (2025). Datasets_raw data survey input_Imagination Over Intelligence [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.15249313
LicenceCC BY 4.0
Source datahttps://zenodo.org/records/15249313

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Responses1,080
Respondents108
Items10
Response categories5
Responses per respondent10
Responses per item108
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleGeneral/non-specific
construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
construct nameImagination over intelligence survey blocks

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, christian_2025_imagination.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.

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 (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("christian_2025_imagination")
# Python
pip install irw

import irw
df = irw.fetch("christian_2025_imagination")

How to cite

@misc{https://doi.org/10.5281/zenodo.15249313,
  doi = {10.5281/ZENODO.15249313},
  url = {https://zenodo.org/doi/10.5281/zenodo.15249313},
  author = {Christian, Michael and Nan, Guan and Dewantara, Yudhiet Fajar and Geng, Bi and Muzammil, Oktafalia Marisa and Gularso, Kurnadi},
  title = {Datasets_raw data survey input_Imagination Over Intelligence},
  publisher = {Zenodo},
  year = {2025},
  copyright = {Creative Commons Attribution 4.0 International}
}

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_5 v8.5
Redivis dataset DOI10.57761/41xy-5k56
Manifest pin for this IRW versionv8.5
Metadata sourceirw_meta v44.0