854 responses from 51 respondents to 17 items.
| Description | Teacher survey on university-entrance-exam washback effects, 17 items, 1-5, N=51 |
|---|---|
| Reference | Rodriguez-Muniz, L. J., et al. (2016). Washback Effect of University Entrance exams in Applied Mathematics to Social Sciences. PLOS ONE. |
| DOI | 10.1371/journal.pone.0167544 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0167544 |
| Responses | 854 |
|---|---|
| Respondents | 51 |
| Items | 17 |
| Response categories | 5 |
| Responses per respondent | 16.745 |
| Responses per item | 50.235 |
| Density | 0.985 |
| Longitudinal | FALSE |
| sample | Educational, Workplace |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | spa |
cov_agecov_schoolcov_sexiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("rodriguezmuniz_2016_washback_survey")
# Python
pip install irw
import irw
df = irw.fetch("rodriguezmuniz_2016_washback_survey")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |