arista_2010_achievement_motivation

5,180 responses from 140 respondents to 37 items.

About this table

DescriptionAchievement motivation in physical education, 37 items (thesis instrument), 1-5 (strongly disagree-strongly agree); N = 140 secondary-school girls (ages 15-18) at a public school in Bellavista, Callao, Peru; cov_age.
ReferenceArista-Huaco, M. J. (2010). Motivación de logro en educación física y capacidades motrices en alumnos de una institución educativa pública del distrito de Bellavista [Data set]. Zenodo. https://doi.org/10.5281/zenodo.20634
LicenceCC0 1.0
Source datahttps://doi.org/10.5281/zenodo.20634

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Responses5,180
Respondents140
Items37
Response categories5
Responses per respondent37
Responses per item140
Density1
LongitudinalFALSE

Classification

age rangeMixed
child age (for child-focused studies)Adolescent (12-18y)
sampleEducational, General/non-specific
construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)spa
construct nameAchievement motivation in physical education

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, arista_2010_achievement_motivation.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

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("arista_2010_achievement_motivation")
# Python
pip install irw

import irw
df = irw.fetch("arista_2010_achievement_motivation")

How to cite

@misc{https://doi.org/10.5281/zenodo.20634,
  doi = {10.5281/ZENODO.20634},
  url = {https://zenodo.org/record/20634},
  author = {Arista-Huaco, Manuel Jesús},
  keywords = {Matriz de datos, Programas estadísticos},
  title = {Motivación De Logro En Educación Física Y Capacidades Motrices En Alumnos De Una Institucion Educativa Pública Del Distrito De Bellavista},
  publisher = {Zenodo},
  year = {2010},
  copyright = {Creative Commons Zero - CC0 1.0}
}

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_5 v8.5
Redivis dataset DOI10.57761/41xy-5k56
Manifest pin for this IRW versionv8.5
Metadata sourceirw_meta v44.0