122,720 responses from 767 respondents to 160 items.
| Description | Strengthening the Reporting of Observational studies in Epidemiology(STROBE) |
|---|---|
| Reference | Hur, Y., & Seo, D. G. (2023). Development of a character qualities test for medical students in Korea using polytomous item response theory and factor analysis: a preliminary scale development study. Journal of Educational Evaluation for Health Professions, 20. Yera Hur; Dong Gi Seo, 2023, "Development of a character qualities test for medical students in Korea using polytomous item response theory and factor analysis: a preliminary scale development study", https://doi.org/10.7910/DVN/UE55JT, Harvard Dataverse, V1 |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/UE55JT |
| Responses | 122,720 |
|---|---|
| Respondents | 767 |
| Items | 160 |
| Response categories | 5 |
| Responses per respondent | 160 |
| Responses per item | 767 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational, Targeted/specific |
| construct type | Behavioral |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | kor |
| construct name | Development of a character qualities test for medical students in Korea using polytomous item response theory and factor analysis: a preliminary scale development study |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Character Qualities Test for Medical Students (SPHER3C), 160-item preliminary form |
|---|---|
| Mean words per item | 4.269 |
| Mean characters per item | 19.762 |
| Mean characters per response | 10.200 |
| Flesch-Kincaid grade level | 2.159 |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("CQTMS_Hur_2023")
# Python
pip install irw
import irw
df = irw.fetch("CQTMS_Hur_2023")
| 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 |