About this table

Description	Attitudes toward mathematics questionnaire, 25 items (UT utility, AN anxiety, AG liking, MO motivation, CO confidence), 1-5; 6,078 Ecuadorian bachillerato students (the AFE and AFC random halves merged, cov_sample); cov_institution, cov_gender, cov_ethnicity, cov_grade, cov_career_plan.
Reference	Hernández-Martínez, M., Posso-Yépez, M., Arciniegas-Romero, G., & Rivadeneira-Flores, J. (2025). Actitudes hacia las matemáticas y su relación con el rendimiento académico: validación de un instrumento en el contexto ecuatoriano [Dataset]. figshare. https://doi.org/10.6084/m9.figshare.28352018
Licence	CC BY 4.0
Source data	https://figshare.com/articles/dataset/28352018

Notes

The AFE (ids 1-3629) and AFC (ids 100001-102449) halves are one sample split at random by the authors; cov_sample marks the half. The deposit's age column mixes category codes with years and is not shipped.

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

Size and shape

Responses	151,950
Respondents	6,078
Items	25
Response categories	5
Responses per respondent	25
Responses per item	6,078
Density	1
Longitudinal	FALSE

Classification

sample	Educational
measurement tool	Survey/questionnaire
item format	Likert Scale/selected response
primary language(s)	spa
construct name	Attitudes toward mathematics (utility, anxiety, liking, motivation, confidence)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, hernandez_martinez_2025_math_attitudes.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_career_plan`	Covariate	`CARRERAS`
`cov_ethnicity`	Covariate	`Etnia`
`cov_gender`	Covariate	`Género`
`cov_grade`	Covariate	`Curso`
`cov_institution`	Covariate	`INSTITUCIÓN`
`cov_sample`	Covariate	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 needed Browse on Redivisexplore and query Croissant 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("hernandez_martinez_2025_math_attitudes")

# Python
pip install irw

import irw
df = irw.fetch("hernandez_martinez_2025_math_attitudes")

How to cite

@misc{https://doi.org/10.6084/m9.figshare.28352018,
  doi = {10.6084/M9.FIGSHARE.28352018},
  url = {https://figshare.com/articles/dataset/Actitudes_hacia_las_matem_ticas_y_su_relaci_n_con_el_rendimiento_acad_mico_validaci_n_de_un_instrumento_en_el_contexto_ecuatoriano_/28352018},
  author = {Hernández-Martínez, Marco and Posso-Yépez, Miguel and Arciniegas-Romero, Gabriela and Rivadeneira-Flores, Jaime},
  keywords = {Education assessment and evaluation},
  title = {Actitudes hacia las matemáticas y su relación con el rendimiento académico: validación de un instrumento en el contexto ecuatoriano.},
  publisher = {figshare},
  year = {2025},
  copyright = {Creative Commons Attribution 4.0 International}
}

Version and provenance

IRW version	v584
Redivis dataset	item_response_warehouse_5 v8.5
Redivis dataset DOI	10.57761/41xy-5k56
Manifest pin for this IRW version	v8.5
Metadata source	irw_meta v44.0