693 responses from 99 respondents to 7 items.
| Description | Communication Skills |
|---|---|
| Reference | Chen, K. C. J., Bartman, I., Pugh, D., Topps, D., Desjardins, I., Forgie, M., & Archibald, D. (2023). Experience of introducing an electronic health records station in an objective structured clinical examination to evaluate medical students’ communication skills in Canada: a descriptive study. Journal of Educational Evaluation for Health Professions, 20, 22-22. Kuan-chin Jean Chen; Ilona Bartman; Debra Pugh; David Topps; Isabelle Desjardins; Melissa Forgie; Douglas Archibald, 2023, "Experience of introducing an electronic health records station in an objective structured clinical examination to evaluate medical students’ communication skills in Canada: a descriptive study", https://doi.org/10.7910/DVN/IFMDCC, Harvard Dataverse, V1 |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/IFMDCC |
| Responses | 693 |
|---|---|
| Respondents | 99 |
| Items | 7 |
| Response categories | 5 |
| Responses per respondent | 7 |
| Responses per item | 99 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| construct type | Affective/mental health, Cognitive/educational |
| measurement tool | Observational rating |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Evaluation of Medical Students' Communication Skills in an Objective Structured Clinical Examination (OSCE) Using Electronic Medical Records (EMR) |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Communication Skills |
|---|---|
| Mean words per item | 1.857 |
| Mean characters per item | 16.143 |
| Mean characters per response | 53.905 |
| Flesch-Kincaid grade level | 17.811 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, EMSC_Kuan-chin_2023.R. 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). | OttawaU_ID |
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("EMSC_Kuan-chin_2023")
# Python
pip install irw
import irw
df = irw.fetch("EMSC_Kuan-chin_2023")
@misc{https://doi.org/10.7910/dvn/ifmdcc,
doi = {10.7910/DVN/IFMDCC},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/IFMDCC},
author = {chin Jean Chen, Jean and Bartman, Ilona and Pugh, Debra and Topps, David and Desjardins, Isabelle and Forgie, Melissa and Archibald, Douglas},
keywords = {Medicine, Health and Life Sciences},
title = {Experience of introducing an electronic health records station in an objective structured clinical examination to evaluate medical students’ communication skills in Canada: a descriptive study},
publisher = {Harvard Dataverse},
year = {2023}
}
| IRW version | v549 |
|---|---|
| Redivis dataset | item_response_warehouse v70.0 |
| Redivis dataset DOI | 10.57761/4qxs-pq87 |
| Manifest pin for this IRW version | v70.0 |
| Metadata source | irw_meta v39.0 |