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 |
iditemresp
Or load it directly in R or Python:
# 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")
| 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 |