1,717 rated or chosen profiles from 1,717 respondents, in up to 1 tasks of 1 profile varying on 6 attributes.
| Description | Spanish pre-service elementary teachers (education students at 20 sampled universities, 2023, n = 1,717) each assessed one fictional 6th-grader from a full 2^7 factorial: student name (gender x Spanish/Moroccan origin), father's email (notary vs painter), subjects failed, behaviour, essay quality and an essay sentence signalling cultural capital; outcomes are the essay grade, grade-retention recommendation, academic-track expectations and perceived parental support. |
|---|---|
| Reference | Gil-Hernández, C. J., Pañeda-Fernández, I., Salazar, L., & Castaño Muñoz, J. (2024). Teacher bias in assessments by student ascribed status: A factorial experiment on discrimination in education. Sociological Science, 11, 743-776. |
| DOI | 10.15195/v11.a27 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.5281/zenodo.12666535 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,717 |
|---|---|
| Rows (one per respondent, task and profile) | 1,717 |
| Tasks per respondent (most) | 1 |
| Profiles per task | 1 |
| Attributes | 6 |
| Topic | other |
|---|---|
| A profile represents | person |
| Country | ES |
| Language shown | es |
| Language of stored levels | es, en |
| Randomization restrictions | yes (stated by the source): full factorial of 7 binary factors (128 vignettes); one vignette per respondent; vignettes rated by 4-24 respondents (vignette_n), assignment probabilities not stated. Student name and father's email both show the family's ethnicity (one factor), so the surnames always match (García with David.Garcia, Salhi with Mohamed.Salhi) |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead.
Outcomes:
| rating | What grade from 1 to 10 (including decimal points) would you give to the essay considering its syntactic structure, orthography, vocabulary, and creativity? (translated) [rating, 1 (1) to 10 (10)] |
|---|---|
| rating_expectations | Considering the information in the student's file and the grade you assigned him/her in the essay, do you think it is likely that this student will reach the upper-secondary academic track? (translated) [rating, 0 (not at all likely to happen) to 10 (very likely)] |
| rating_parental_support | Respondent's perception of the student's parental support (paraphrase) [rating, 0 (unknown) to 10 (unknown)] |
| rating_retention | Considering the information in the student's file, the grade you assigned him/her in the essay and that he/she has not repeated a grade before, do you think this student should repeat 6th grade? (translated) [rating, 0 (he/she should never repeat 6th grade) to 10 (he/she should definitely repeat 6th grade)] |
attr_behaviourattr_essay_cultural_capitalattr_essay_qualityattr_father_emailattr_student_nameattr_subjects_failedcov_birth_countrycov_birth_yearcov_check_behaviourcov_check_cultural_capitalcov_check_failedcov_check_gendercov_check_origincov_check_sescov_degree_yearcov_device_phonecov_duration_seccov_gendercov_parent_born_abroadcov_parent_educationcov_privatecov_rank_abilitycov_rank_effortcov_rank_luckcov_rank_sescov_repeated_gradecov_universityidprofileratingrating_expectationsrating_parental_supportrating_retentiontask
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.
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_2024_teacher_bias", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("gilhernandez_2024_teacher_bias", source="conj")
@article{Gil_Hern_ndez_2024, title={Teacher Bias in Assessments by Student Ascribed Status: A Factorial Experiment on Discrimination in Education}, volume={11}, ISSN={2330-6696}, url={http://dx.doi.org/10.15195/v11.a27}, DOI={10.15195/v11.a27}, journal={Sociological Science}, publisher={Society for Sociological Science}, author={Gil-Hernández, Carlos and Pañeda-Fernández, Irene and Salazar, Leire and Muñoz, Jonatan}, year={2024}, pages={743–776} }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint v4.2 |
| Redivis dataset DOI | 10.57761/qkye-q530 |
| Manifest pin for this IRW version | v4.2 |
| Metadata source | irw_meta v44.0 |