estevez_2021_feepad

4,315 responses from 863 respondents to 5 items.

One of 8 tables from the same source; this one is the feepad table. The others are listed under Related tables.

About this table

Description5 items on a 1-5 scale, Spanish primary school students aged 9-13; the source labels the block only as FEEPAD and ships no codebook, so the codes are kept verbatim rather than named. 4,315 responses from 863 respondents on 5 items.
ReferenceEstevez, I., Valle, A., Rodriguez, S., Pineiro, I., Vieites, T., Gonzalez-Suarez, R., & Rodriguez-Llorente, C. (2021). Intrinsic motivation, perceived competence, negative feelings, and math academic performance [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5156068
LicenceCC BY 4.0
Source datahttps://zenodo.org/records/5156068

Size and shape

Responses4,315
Respondents863
Items5
Response categories5
Responses per respondent5
Responses per item863
Density1
LongitudinalFALSE

Classification

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

These are classifications the IRW records, not the study’s own words. Some were annotated by hand and some written by an automated tagger whose output is published only where it clears a measured accuracy bar; which values came from which is not recorded per table. Coverage and accuracy per column, and what is held back, are on Tag quality.

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, estevez_2021_homework_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 EDAD
cov_genderCovariate 1 = hombre · 2 = mujerGENERO
cov_gradeCovariate 1 = 5ºEP · 2 = 6ºEPCURSO
cov_schoolCovariate 13 codes, each an institution; names withheld.CENTRO

Covariate value labels are the source’s own, as the IRW recorded them. What item codes and any unlabelled values stand for is in the codebook released with the source data.

Respondent uniqueness. 3% of this table’s respondents are alone in their combination of the 4 covariates above — no one else in the table shares it. That is a necessary condition for re-identification and not re-identification itself, and on a sample this size it is largely arithmetic. The IRW republishes the demographics its sources published and never at finer granularity: see the data standard.

Get the data

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

Or load it directly in R (no account needed with irw 1.4.0 or later) or Python (needs a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("irw")
library(irw)
df <- irw_fetch("estevez_2021_feepad")
# Python
pip install irw

import irw
df = irw.fetch("estevez_2021_feepad")

Or in Stata, which reads the same no-account CSV as the button above:

* Stata
net install irw, from("https://raw.githubusercontent.com/itemresponsewarehouse/Stata-pkg/main/")

irw_fetch estevez_2021_feepad, clear

How to cite

@misc{https://doi.org/10.5281/zenodo.5156068,
  doi = {10.5281/ZENODO.5156068},
  url = {https://zenodo.org/record/5156068},
  author = {Estévez, Iris and Valle, Antonio and Rodríguez, Susana and Piñeiro, Isabel and Vieites, Tania and González-Suárez, Rocío and Rodríguez-Llorente, Carolina},
  keywords = {intrinsic motivation, academic performance, mathematics, perceived competence},
  language = {es},
  title = {Intrinsic motivation, perceived competence, negative feelings, and math academic performance.},
  publisher = {Zenodo},
  year = {2021},
  copyright = {Creative Commons Attribution 4.0 International}
}

Version and provenance

IRW versionv707
Redivis datasetitem_response_warehouse_5 v12.0
Redivis dataset DOI10.57761/9s1g-bb52
Manifest pin for this IRW versionv12.0
Metadata sourceirw_meta v66.0