3,800 responses from 190 respondents to 20 items.
| Description | ChatGPT-4 Multiple-choice item |
|---|---|
| Reference | Young, R., Courtney, E., Kah, A., Wilkerson, M., & Chen, Y.-H. (2025). Content and Item Response Theory Analysis of ChatGPT-4-Generated Multiple-Choice Items. Teaching of Psychology, 0(0). https://doi.org/10.1177/00986283241311220 |
| DOI | 10.1177/00986283241311220 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/zq4eg/?view_only=d78eeb2235e940ca9ae4bb6732fad999 |
| Responses | 3,800 |
|---|---|
| Respondents | 190 |
| Items | 20 |
| Response categories | 4 |
| Responses per respondent | 20 |
| Responses per item | 190 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| construct type | Cognitive/educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | ChatGPT-4 Multiple-choice item |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | ChatGPT-4-generated multiple-choice quiz on the reading 'Love, Friendship, and Social Support' |
|---|---|
| Mean words per item | 12.050 |
| Mean characters per item | 83.650 |
| Mean characters per response | 58.413 |
| Flesch-Kincaid grade level | 11.391 |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gpt4mcq_young_2025")
# Python
pip install irw
import irw
df = irw.fetch("gpt4mcq_young_2025")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |