1,767 responses from 443 respondents to 4 items.
One of 3 tables from the same source; this one measures Academic buoyancy. The others are listed under Related tables.
| Description | Academic Buoyancy Scale (Martin & Marsh 2008), Turkish adaptation (4 items, 1-5) for 443 Turkish middle-school students. |
|---|---|
| Reference | Kul, Ü., Çelik Demirci, S., & Korkmaz, S. (2026). Math Anxiety and Everyday Resilience in High-Stakes Contexts [Data set]. figshare. https://doi.org/10.6084/m9.figshare.30384058.v3 |
| Licence | CC BY 4.0 |
| Source data | https://figshare.com/articles/dataset/Data_set/30384058 |
| Responses | 1,767 |
|---|---|
| Respondents | 443 |
| Items | 4 |
| Response categories | 5 |
| Responses per respondent | 3.989 |
| Responses per item | 441.750 |
| Density | 0.997 |
| Longitudinal | FALSE |
| age range | Child (<18y) |
|---|---|
| sample | Educational |
| construct type | Personality |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | tur |
| construct name | Academic buoyancy |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, kul_2026_math_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). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
What item codes and covariate values stand for is in the source’s codebook, 67746372.
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("kul_2026_academic_buoyancy")
# Python
pip install irw
import irw
df = irw.fetch("kul_2026_academic_buoyancy")
@misc{https://doi.org/10.6084/m9.figshare.30384058.v3,
doi = {10.6084/M9.FIGSHARE.30384058.V3},
url = {https://figshare.com/articles/dataset/Data_set/30384058/3},
author = {Kul, Ümit and Celik Demirci, Sedef and korkmaz, Samet},
keywords = {Mathematics and numeracy curriculum and pedagogy},
title = {Math Anxiety and Everyday Resilience in High-Stakes Contexts},
publisher = {figshare},
year = {2026},
copyright = {Creative Commons Attribution 4.0 International}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v5.11 |
| Redivis dataset DOI | 10.57761/qahq-j855 |
| Manifest pin for this IRW version | v5.11 |
| Metadata source | irw_meta v44.0 |