atoum_2026_cognitive_dissonance

5,537 responses from 308 respondents to 18 items.

One of 3 tables from the same source; this one measures Cognitive dissonance (18 items). The others are listed under Related tables.

About this table

DescriptionCognitive dissonance, 18 items (0/1); N = 308 Jordanian university students; cov_sex, cov_college.
ReferenceAtoum, A., & Al-Adamat, O. (2026). Exploring the Relationships Between Mind Wandering, Academic Entitlement, and Cognitive Dissonance [data]. Zenodo. https://doi.org/10.5281/zenodo.20080845
LicenceCC BY 4.0
Source datahttps://zenodo.org/records/20080845

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

Responses5,537
Respondents308
Items18
Response categories2
Responses per respondent17.977
Responses per item307.611
Density0.999
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational
construct typeAffective/mental health
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ara
construct nameCognitive dissonance (18 items)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, atoum_2026_mind_wandering.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
Respondent covariates
cov_collegeCovariate College
cov_sexCovariate Sex

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("atoum_2026_cognitive_dissonance")
# Python
pip install irw

import irw
df = irw.fetch("atoum_2026_cognitive_dissonance")

How to cite

@misc{https://doi.org/10.5281/zenodo.20080845,
  doi = {10.5281/ZENODO.20080845},
  url = {https://zenodo.org/doi/10.5281/zenodo.20080845},
  author = {Atoum, Adnan and Al-Adamat, Omar},
  keywords = {cognitive disonance, mind wandering, Academic Entitlement},
  language = {en},
  title = {Exploring the Relationships Between Mind Wandering, Academic Entitlement, and Cognitive Dissonance},
  publisher = {Zenodo},
  year = {2026},
  copyright = {Creative Commons Attribution 4.0 International}
}

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_7 v1.1
Redivis dataset DOI10.57761/7pd3-sh31
Manifest pin for this IRW versionv1.0
Metadata sourceirw_meta v44.0