gesbert_2021_tdeq

1,596 responses from 64 respondents to 25 items.

About this table

Description25-item Talent Development Environment Questionnaire (TDEQ, 1-6 scale) from Swiss elite youth soccer players
ReferenceGesbert V, et al. (2021) Reviewing the role of the environment in the talent development of a professional soccer club. PLoS ONE.
DOI10.1371/journal.pone.0246823
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0246823.s005

Size and shape

Responses1,596
Respondents64
Items25
Response categories6
Responses per respondent24.938
Responses per item63.840
Density0.998
LongitudinalFALSE

Classification

sampleProgram-based
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)fre

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentTalent Development Environment Questionnaire, French version (TDEQ-FV; French adaptation of the 5-factor TDEQ-5)
Mean words per item18
Mean characters per item105.040
Mean characters per response6.500
Flesch-Kincaid grade level9.998

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, gesbert_2021_tdeq.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).CODE
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 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("gesbert_2021_tdeq")
# Python
pip install irw

import irw
df = irw.fetch("gesbert_2021_tdeq")

How to cite

@article{Gesbert_2021, title={Reviewing the role of the environment in the talent development of a professional soccer club}, volume={16}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0246823}, DOI={10.1371/journal.pone.0246823}, number={2}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Gesbert, Vincent and Crettaz von Roten, Fabienne and Hauw, Denis}, editor={Stamov Roßnagel, Christian}, year={2021}, month=Feb, pages={e0246823} }

Version and provenance

IRW versionv569
Redivis datasetitem_response_warehouse_3 v14.0
Redivis dataset DOI10.57761/rkkt-p907
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v43.0