1,265,380 responses from 4,190 respondents to 302 items.
One of 6 tables from the same source; this one is the 2019_1 table. The others are listed under Related tables.
| Description | Clinical Medical Science Comprehensive Examination (Korea), 2019 administration part 1: dichotomously scored item responses, resp 0-1. 4190 examinees x 302 items = 1265380 responses. |
|---|---|
| Reference | Choi, J., Jung, S.-S., Choi, E. K., Kim, K. S., & Seo, D. G. (2026). Feasibility of applying computerized adaptive testing to the Clinical Medical Science Comprehensive Examination in Korea: a psychometric study [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/TQZQ6L |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/TQZQ6L |
| Responses | 1,265,380 |
|---|---|
| Respondents | 4,190 |
| Items | 302 |
| Response categories | 2 |
| Responses per respondent | 302 |
| Responses per item | 4,190 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Educational |
|---|---|
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | kor |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, choi_2026_cmsce.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.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW 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 |
item | IRW standard Item identifier. | made in the build script |
resp | IRW 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.
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("choi_2026_cmsce_2019_1")
# Python
pip install irw
import irw
df = irw.fetch("choi_2026_cmsce_2019_1")
@misc{https://doi.org/10.7910/dvn/tqzq6l,
doi = {10.7910/DVN/TQZQ6L},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/TQZQ6L},
author = {{Jeongwook Choi} and {Sung-Soo Jung} and Choi, Eun Kwang and Kim, Kyung Sik and Seo, Dong Gi},
keywords = {Medicine, Health and Life Sciences},
title = {Feasibility of applying computerized adaptive testing to the Clinical Medical Science Comprehensive Examination in Korea: a psychometric study},
publisher = {Harvard Dataverse},
year = {2025}
}
| IRW version | v566 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v13.0 |
| Redivis dataset DOI | 10.57761/w8zx-td92 |
| Manifest pin for this IRW version | v13.0 |
| Metadata source | irw_meta v43.0 |