2,660 responses from 266 respondents to 10 items.
| Description | Objective Structured Clinical Examination |
|---|---|
| Reference | Sara Mortaz Hejri; Mohammad Jalili, 2017, "Sequential OSCE based on item response theory", https://doi.org/10.7910/DVN/VG1AJW, Harvard Dataverse, V1, UNF:6:hhgw2XGm0F6hA5ZXukFR8w== [fileUNF] Hejri, S. M., & Jalili, M. (2017). Sequential Objective Structured Clinical Examination based on item response theory in Iran. Journal of Educational Evaluation for Health Professions, 14. |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/VG1AJW |
| Responses | 2,660 |
|---|---|
| Respondents | 266 |
| Items | 10 |
| Response categories | 5 |
| Responses per respondent | 10 |
| Responses per item | 266 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| construct type | Behavioral |
| measurement tool | Observational rating |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Objective Structured Clinical Examination |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("OSCE_Hejri_2017")
# Python
pip install irw
import irw
df = irw.fetch("OSCE_Hejri_2017")
| 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 |