5,178 responses from 863 respondents to 6 items.
One of 8 tables from the same source; this one is the feepr table. The others are listed under Related tables.
| Description | 6 items on a 1-5 scale, Spanish primary school students aged 9-13; the source labels the block only as FEEPR and ships no codebook, so the codes are kept verbatim rather than named. 5,178 responses from 863 respondents on 6 items. |
|---|---|
| Reference | Estevez, 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 |
| Licence | CC BY 4.0 |
| Source data | https://zenodo.org/records/5156068 |
| Responses | 5,178 |
|---|---|
| Respondents | 863 |
| Items | 6 |
| Response categories | 5 |
| Responses per respondent | 6 |
| Responses per item | 863 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Child (6-12y), Adolescent (12-18y) |
| sample | Educational |
| measurement tool | Survey/questionnaire |
| item format | Likert 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.
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.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW 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 |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | EDAD |
cov_gender | Covariate 1 = hombre · 2 = mujer | GENERO |
cov_grade | Covariate 1 = 5ºEP · 2 = 6ºEP | CURSO |
cov_school | Covariate 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.
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_feepr")
# Python
pip install irw
import irw
df = irw.fetch("estevez_2021_feepr")
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_feepr, clear
@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}
}
| IRW version | v707 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v12.0 |
| Redivis dataset DOI | 10.57761/9s1g-bb52 |
| Manifest pin for this IRW version | v12.0 |
| Metadata source | irw_meta v66.0 |