15,573 responses from 331 respondents to 49 items.
One of 9 tables from the same source; this one is the political_resilience table. The others are listed under Related tables.
| Description | 49-item political resilience scale (the study's new instrument), 1-7, Norwegian school students. 331 respondents x 49 items = 15573 responses. |
|---|---|
| Reference | Eldor, D., Lindholm, K., Chavez, M., Vassanyi, S., Badiane, M., Yaldizli, K., Froysa, P., Haugestad, C., & Kunst, J. (2022). Resilience against radicalization and extremism in schools: Development of a psychometric scale. Frontiers in Psychology, 13, 980180. https://doi.org/10.3389/fpsyg.2022.980180 |
| DOI | 10.3389/fpsyg.2022.980180 |
| Licence | CC BY 4.0 |
| Source data | https://frontiersin.figshare.com/articles/dataset/_/21531195 |
| Responses | 15,573 |
|---|---|
| Respondents | 331 |
| Items | 49 |
| Response categories | 7 |
| Responses per respondent | 47.048 |
| Responses per item | 317.816 |
| Density | 0.960 |
| Longitudinal | FALSE |
| sample | Educational |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | nor |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Resilience against radicalization and extremism in schools scale (Eldor et al. 2022; 48-item pool plus 1 attention-check item) |
|---|---|
| Mean words per item | 1.163 |
| Mean characters per item | 2.980 |
| Mean characters per response | 9.857 |
| Flesch-Kincaid grade level | -2.508 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, eldor_2022_radicalization_resilience.py. 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). | ResponseId |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_completion_time_s | Covariate | Duration__in_seconds_ |
cov_ethnicity | Covariate | ethnicity |
cov_gender | Covariate | gender |
cov_school | Covariate | skole |
What item codes and covariate values stand for is in the source’s codebook, variables (sheet in Table_3_Resilience against radicalization and extremism in schools: Development of a psychometric scale.XLSX).
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("eldor_2022_political_resilience")
# Python
pip install irw
import irw
df = irw.fetch("eldor_2022_political_resilience")
@article{Eldor_2022, title={Resilience against radicalization and extremism in schools: Development of a psychometric scale}, volume={13}, ISSN={1664-1078}, url={http://dx.doi.org/10.3389/fpsyg.2022.980180}, DOI={10.3389/fpsyg.2022.980180}, journal={Frontiers in Psychology}, publisher={Frontiers Media SA}, author={Eldor, David S. and Lindholm, Karine and Chavez, Maria H. and Vassanyi, Sander and Badiane, Michelle O. I. and Yaldizli, Kemal and Frøysa, Petter and Haugestad, Christian A. P. and Kunst, Jonas R.}, year={2022}, month=Nov }
| IRW version | v549 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v13.0 |
| Redivis dataset DOI | 10.57761/w8zx-td92 |
| Manifest pin for this IRW version | v13.0 |
| Metadata source | irw_meta v39.0 |