9,765 responses from 651 respondents to 15 items.
| Description | Self-Efficacy Scale for Clinical Skills (L-SES) |
|---|---|
| Reference | Bayazit, A., Gonullu, I., & Dogan, C. D. (2022). Adaptation of a short and universal learning self-efficacy scale for clinical skills in Turkish. Plos one, 17(11), e0275672. Kang, Y. N., Chang, C. H., Kao, C. C., Chen, C. Y., & Wu, C. C. (2019). Development of a short and universal learning self-efficacy scale for clinical skills. PloS one, 14(1), e0209155. BAYAZIT, ALPER, 2022, "Adaptation of a Short and Universal Learning Self-Efficacy Scale for Clinical Skills in Turkish", https://doi.org/10.7910/DVN/M0NJIQ, Harvard Dataverse, V1, UNF:6:RmFV+H/6Bc+ERCX++pcoew== [fileUNF] |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/M0NJIQ&version=1.0 |
| Responses | 9,765 |
|---|---|
| Respondents | 651 |
| Items | 15 |
| Response categories | 5 |
| Responses per respondent | 15 |
| Responses per item | 651 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | tur |
| construct name | Learning Self-Efficacy Scale (L-SES) |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Learning Self-Efficacy Scale for Clinical Skills (L-SES), Turkish adaptation |
|---|---|
| Mean words per item | 11.600 |
| Mean characters per item | 67.200 |
| Mean characters per response | 7.400 |
| Flesch-Kincaid grade level | 7.855 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, CSE_Bayazit_2022.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). | 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("CSE_Bayazit_2022")
# Python
pip install irw
import irw
df = irw.fetch("CSE_Bayazit_2022")
@misc{https://doi.org/10.7910/dvn/m0njiq,
doi = {10.7910/DVN/M0NJIQ},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/M0NJIQ},
author = {BAYAZIT, ALPER},
keywords = {Medicine, Health and Life Sciences, Social Sciences, scale adaptation, self-efficacy, clinical skills, medical education},
title = {Adaptation of a Short and Universal Learning Self-Efficacy Scale for Clinical Skills in Turkish},
publisher = {Harvard Dataverse},
year = {2022}
}
| IRW version | v566 |
|---|---|
| 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 v43.0 |