leon_guereno_2020_breq

42,550 responses from 1,850 respondents to 23 items.

About this table

DescriptionBehavioral Regulation in Exercise Questionnaire (BREQ-3, 23 items), recreational runners, N=1850
ReferenceLeón-Guereño P, Tapia-Serrano MA, Sánchez-Miguel PA (2020). The relationship of recreational runners' motivation and resilience levels to the incidence of injury: A mediation model. PLOS ONE, 15(5), e0231628. https://doi.org/10.1371/journal.pone.0231628
DOI10.1371/journal.pone.0231628
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0231628.s001

Size and shape

Responses42,550
Respondents1,850
Items23
Response categories5
Responses per respondent23
Responses per item1,850
Density1
LongitudinalFALSE

Classification

measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)spa

Item text

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

InstrumentCuestionario de Regulación de la Conducta en el Ejercicio (BREQ-3), Spanish 23-item version (González-Cutre, Sicilia y Fernández, 2010)
Mean words per item8.391
Mean characters per item45.739
Mean characters per response8
Flesch-Kincaid grade level6.818

Columns

cov_agecov_bmicov_gendercov_heightcov_injuriescov_weightiditemresp

Get the data

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

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("leon_guereno_2020_breq")
# Python
pip install irw

import irw
df = irw.fetch("leon_guereno_2020_breq")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_3 v7.0
Redivis dataset DOI10.57761/pqqn-pm43
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0