kilic_2024_mental_toughness

3,035 responses from 276 respondents to 11 items.

One of 2 tables from the same source; this one is the mental_toughness table. The others are listed under Related tables.

About this table

Description11-item mental toughness questionnaire (1-5 Likert), taekwondo athletes, n=276
ReferenceOzsari et al. (2024). Attitude towards healthy nutrition and mental toughness: a study of taekwondo athletes. PeerJ.
DOI10.7717/peerj.17174
LicenceCC BY 4.0
Source datahttps://europepmc.org/article/PMC/PMC10984172

Size and shape

Responses3,035
Respondents276
Items11
Response categories5
Responses per respondent10.996
Responses per item275.909
Density1.000
LongitudinalFALSE

Classification

age rangeMixed
child age (for child-focused studies)Child (6-12y), Adolescent (12-18y)
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)tur

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, kilic_2024_taekwondo.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
Respondent covariates
cov_ageCovariate made in the build script
cov_genderCovariate made in the build script

What item codes and covariate values stand for is in the codebook released with the source data.

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("kilic_2024_mental_toughness")
# Python
pip install irw

import irw
df = irw.fetch("kilic_2024_mental_toughness")

How to cite

@article{_zsar__2024, title={Attitude towards healthy nutrition and mental toughness: a study of taekwondo athletes}, volume={12}, ISSN={2167-8359}, url={http://dx.doi.org/10.7717/peerj.17174}, DOI={10.7717/peerj.17174}, journal={PeerJ}, publisher={PeerJ}, author={Özsarı, Arif and Kara, Mehmet and Dilek, Ahmet Naci and Uysal, Halil and Tek, Tolga and Deli, Şekip Can}, year={2024}, month=Mar, pages={e17174} }

Version and provenance

IRW versionv557
Redivis datasetitem_response_warehouse_4 v13.0
Redivis dataset DOI10.57761/w8zx-td92
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v40.0