kul_2026_math_self_efficacy

1,772 responses from 443 respondents to 4 items.

One of 3 tables from the same source; this one measures Mathematics self-efficacy. The others are listed under Related tables.

About this table

DescriptionMathematics self-efficacy (4 items adapted from PISA 2003, 1-5) for 443 Turkish middle-school students.
ReferenceKul, 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
LicenceCC BY 4.0
Source datahttps://figshare.com/articles/dataset/Data_set/30384058

Size and shape

Responses1,772
Respondents443
Items4
Response categories5
Responses per respondent4
Responses per item443
Density1
LongitudinalFALSE

Classification

age rangeChild (<18y)
sampleEducational
construct typePersonality
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)tur
construct nameMathematics self-efficacy

Codebook

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.

ColumnWhat it isSource column
IRW standard columns
idIRW 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
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script

What item codes and covariate values stand for is in the source’s codebook, 67746372.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

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_math_self_efficacy")
# Python
pip install irw

import irw
df = irw.fetch("kul_2026_math_self_efficacy")

How to cite

@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}
}

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_6 v5.11
Redivis dataset DOI10.57761/qahq-j855
Manifest pin for this IRW versionv5.11
Metadata sourceirw_meta v44.0