Item Response Warehouse / Tables / abouhashish_2025_chatgpt_attitudesabouhashish_2025_chatgpt_attitudes
9,228 responses from 240 respondents to 40 items.
About this table
Description 40-item researcher-developed ChatGPT questionnaire (Knowledge/Perceptions/Attitudes/Concerns, 10 items each, 1-5 Likert), nursing students Reference Abou 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. DOI 10.1371/journal.pone.0327981 Licence CC BY 4.0 Source data https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0327981.s002
Size and shape
Responses 9,228 Respondents 240 Items 40 Response categories 5 Responses per respondent 38.450 Responses per item 230.700 Density 0.961 Longitudinal FALSE
Classification
age range Adult (18+) sample Educational measurement tool Survey/questionnaire item format Likert 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.
Instrument ChatGPT Knowledge, Perceptions, Attitudes, and Concerns Questionnaire (researcher-developed) Mean words per item 9.175 Mean characters per item 54.550 Mean characters per response 10.200 Flesch-Kincaid grade level 8.560
Columns
cov_age cov_year_of_study id item resp
Get the data
Or load it directly in R or Python:
# 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")
Version and provenance
IRW version v393 Redivis dataset item_response_warehouse_4 v7.0 Redivis dataset DOI 10.57761/cpj5-vm97 Manifest pin for this IRW version v7.0 Metadata source irw_meta v23.0
Part of the Item Response Warehouse , IRW v393. This page describes the table as released in item_response_warehouse_4 v7.0.