gilhernandez_2023_teacher_bias

1,717 rated or chosen profiles from 1,717 respondents, in up to 1 tasks of 1 profile varying on 7 attributes.

About this table

Description1,717 Spanish pre-service teachers each assessed one vignette of a student (gender, ethnic origin, father's SES, essay quality, essay cultural capital, subjects failed, behaviour) from a 2^7 factorial. Outcomes: essay grade, grade-retention recommendation, educational expectations and perceived parental support.
ReferenceGil Hernandez, C. J., Pañeda-Fernández, I., Salazar, L., & Castaño Muñoz, J. (2023). A factorial survey experiment on teacher's bias in assessments (JRC135784). European Commission, Joint Research Centre.
LicenceCC BY 4.0
Source datahttps://doi.org/10.2905/jrc.rjdfn28

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

Respondents1,717
Rows (one per respondent, task and profile)1,717
Tasks per respondent (most)1
Profiles per task1
Attributes7

Design

Topicother
A profile representsperson
CountryES
Language shownes
Language of stored levelsen
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

ratingOutcome 1: Essay Grade (codebook label) [rating, 1 (unknown) to 10 (unknown)]
rating_edu_expectationsOutcome 3: Educational Expectations for Upper-Secondary Academic Track (codebook label) [rating, 0 (unknown) to 10 (unknown)]
rating_grade_retentionOutcome 2: Grade Retention Recommendation (codebook label) [rating, 0 (unknown) to 10 (unknown)]
rating_parental_supportMechanism: Parental Support of Student's Education (codebook label) [rating, 0 (unknown) to 10 (unknown)]

Columns

attr_behaviour_effortattr_essay_cultural_capitalattr_essay_qualityattr_ethnic_originattr_father_sesattr_student_genderattr_subjects_failedcov_age_groupcov_ba_year_codecov_birth_yearcov_borncov_duration_seccov_gendercov_grade_retentioncov_parent_educationcov_parents_borncov_publiccov_university_id_codeidprofileratingrating_edu_expectationsrating_grade_retentionrating_parental_supporttask

The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.

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("gilhernandez_2023_teacher_bias", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("gilhernandez_2023_teacher_bias", source="conj")

How to cite

@misc{https://doi.org/10.2905/jrc.rjdfn28,
  doi = {10.2905/JRC.RJDFN28},
  url = {https://data.jrc.ec.europa.eu/dataset/f14f5209-f032-4218-a89a-4643143809af},
  author = {Gil Hernandez, Carlos J. and Salazar, Leire and Pañeda-Fernandez, Irene and Castaño Muñoz, Jonatan},
  keywords = {Government and public sector, Education, culture and sport, Assessments, Behavioural Economics, Discrimination, Education, Social Psychology, Social Stratification, Sociology, Survey Experiment, Teachers},
  title = {Teacher's Bias Dataset: A Factorial Survey Experiment},
  publisher = {European Commission, Joint Research Centre},
  year = {2026}
}

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint_2 v1.4
Redivis dataset DOI10.57761/hk97-wv30
Manifest pin for this IRW versionv1.4
Metadata sourceirw_meta v44.0