abouhashish_2025_chatgpt_attitudes

9,228 responses from 240 respondents to 40 items.

About this table

Description40-item researcher-developed ChatGPT questionnaire (Knowledge/Perceptions/Attitudes/Concerns, 10 items each, 1-5 Likert), nursing students
ReferenceAbou Hashish E, Alsayed S, Abdel Razek A (2025) Embracing AI in academia: A mixed methods study of nursing students' and educators' perspectives on using ChatGPT. PLoS ONE.
DOI10.1371/journal.pone.0327981
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0327981.s002

Size and shape

Responses9,228
Respondents240
Items40
Response categories5
Responses per respondent38.450
Responses per item230.700
Density0.961
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentChatGPT Knowledge, Perceptions, Attitudes, and Concerns Questionnaire (researcher-developed)
Mean words per item9.175
Mean characters per item54.550
Mean characters per response10.200
Flesch-Kincaid grade level8.560

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, abouhashish_2025_chatgpt_attitudes.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_ageCovariate AGE
cov_year_of_studyCovariate \xa0 Year of Study:\n

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("abouhashish_2025_chatgpt_attitudes")
# Python
pip install irw

import irw
df = irw.fetch("abouhashish_2025_chatgpt_attitudes")

How to cite

@article{Abou_Hashish_2025, title={Embracing AI in academia: A mixed methods study of nursing students’ and educators’ perspectives on using ChatGPT}, volume={20}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0327981}, DOI={10.1371/journal.pone.0327981}, number={7}, journal={PLOS One}, publisher={Public Library of Science (PLoS)}, author={Abou Hashish, Ebtsam Aly and Alsayed, Sharifah Abdulmuttalib and Abdel Razek, Noura Mohamed Fadl}, editor={Mathew, Mary}, year={2025}, month=July, pages={e0327981} }

Version and provenance

IRW versionv549
Redivis datasetitem_response_warehouse_4 v13.0
Redivis dataset DOI10.57761/w8zx-td92
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v39.0