4,960 responses from 40 respondents to 62 items.
| Description | Comparison of virtual and in-person simulations for sepsis and trauma resuscitation training in Singapore: a randomized controlled trial |
|---|---|
| Reference | Low, Matthew Jian Wen, Gene Wai Han Chan, Zisheng Li, Yiwen Koh, Chi Loong Jen, Zi Yao Lee, and Lenard Tai Win Cheng. 2024. “Comparison of Virtual and In-Person Simulations for Sepsis and Trauma Resuscitation Training in Singapore: A Randomized Controlled Trial.” Harvard Dataverse. https://doi.org/10.7910/DVN/KHAYXN. |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/KHAYXN |
| Responses | 4,960 |
|---|---|
| Respondents | 40 |
| Items | 62 |
| Response categories | 3 |
| Responses per respondent | 124 |
| Responses per item | 80 |
| Density | 2 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Targeted/specific |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Mixed |
| primary language(s) | eng |
| construct name | Comparison of virtual and in-person simulations for sepsis and trauma resuscitation |
cov_agecov_date_of_intervention_either_mock_code_or_virtual_simulatcov_gendercov_interventioncov_number_of_months_in_em_as_doctor_before_nuh_emdcov_number_of_years_post_graduatecov_ssls_q1cov_ssls_q2cov_ssls_q3cov_ssls_q4cov_ssls_q5iditemraterresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("jian-wen-low-sepsis-and-trauma-resuscitation-2024")
# Python
pip install irw
import irw
df = irw.fetch("jian-wen-low-sepsis-and-trauma-resuscitation-2024")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v19.0 |
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
| Manifest pin for this IRW version | v19.0 |
| Metadata source | irw_meta v23.0 |