28,140 responses from 1,407 respondents to 20 items.
| Description | Responses to Czech medical school admissions exam |
|---|---|
| Reference | Drabinova, A. & Martinkova, P. (2017). Detection of differential item functioning with nonlinear regression: A non-IRT approach accounting for guessing. Journal of Educational Measurement, 54(4), 498–517, doi: 10.1111/jedm.12158. |
| DOI | 10.1111/jedm.12158 |
| Licence | GPL-3.0 |
| Source data | https://cran.r-project.org/web/packages/difNLR/index.html |
| Responses | 28,140 |
|---|---|
| Respondents | 1,407 |
| Items | 20 |
| Response categories | 2 |
| Responses per respondent | 20 |
| Responses per item | 1,407 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Targeted/specific |
| construct type | Opinion/attitude |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | DIF and DDF Detection by Non-Linear Regression Models |
cov_genderiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("difnlr_msatb")
# Python
pip install irw
import irw
df = irw.fetch("difnlr_msatb")
| 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 |