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