2,421 responses from 269 respondents to 9 items.
One of 4 tables from the same source; this one measures Information and data literacy (IDL, 9 items). The others are listed under Related tables.
| Description | 9 information-and-data-literacy items (1-6); N = 269 Slovenian university students; cov_gender, cov_age, cov_study_level. |
|---|---|
| Reference | Bernik, N., Znidarsic, J., Sprajc, P., & Bernik, M. (2026). Excel file containing data from 269 undergraduate and postgraduate students enrolled at Slovenian public universities [data]. figshare. https://doi.org/10.6084/m9.figshare.33307392.v1 |
| Licence | CC BY 4.0 |
| Source data | https://figshare.com/articles/dataset/_/33307392 |
| Responses | 2,421 |
|---|---|
| Respondents | 269 |
| Items | 9 |
| Response categories | 6 |
| Responses per respondent | 9 |
| Responses per item | 269 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| construct type | Cognitive/educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | slv |
| construct name | Information and data literacy (IDL, 9 items) |
This codebook is reconstructed by the IRW from the IRW data standard. 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). | not traced |
item | IRW standard Item identifier. | not traced |
resp | IRW standard Response value. | not traced |
| Respondent covariates | ||
cov_age | Covariate | not traced |
cov_gender | Covariate | not traced |
cov_study_level | Covariate | not traced |
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("bernik_2026_idl")
# Python
pip install irw
import irw
df = irw.fetch("bernik_2026_idl")
@misc{https://doi.org/10.6084/m9.figshare.33307392.v1,
doi = {10.6084/M9.FIGSHARE.33307392.V1},
url = {https://figshare.com/articles/dataset/Excel_file_containing_data_from_269_undergraduate_and_postgraduate_students_enrolled_at_Slovenian_public_universities_The_data_were_collected_using_self-report_measures_of_information_and_data_literacy_IDL_academic_self-efficacy_ASE_classro/33307392/1},
author = {Bernik, Nejc and Žnidaršič, Jasmina and Šprajc, Polona and Bernik, Mojca},
keywords = {Human resources management, Social psychology, Digital literature, Humanities and social sciences curriculum and pedagogy (excl. economics, business and management)},
title = {Excel file containing data from 269 undergraduate and postgraduate students enrolled at Slovenian public universities. The data were collected using self-report measures of information and data literacy (IDL), academic self-efficacy (ASE), classroom engagement (CE), and study engagement (SE).},
publisher = {figshare},
year = {2026},
copyright = {Creative Commons Attribution 4.0 International}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_7 v1.1 |
| Redivis dataset DOI | 10.57761/7pd3-sh31 |
| Manifest pin for this IRW version | v1.0 |
| Metadata source | irw_meta v44.0 |