JRC Data Catalogue
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Teacher's Bias Dataset: A Factorial Survey Experiment

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Open-access raw and working datasets (n=1,717) from an online survey experiment on Spanish pre-service teachers to study assessment bias by student’s ascribed characteristics. The experiment was deployed in 2023 with Qualtrics software as a collaboration between the JRC-CAS-DIGCLASS Project and researchers from the WZB Berlin Social Science Centre and Seville University. These data allow researchers to replicate the main findings from our project or use the data for new analyses, complying with the FAIR principles.

Contributors

How to cite

European Commission, Joint Research Centre (2026): Teacher's Bias Dataset: A Factorial Survey Experiment. [Dataset] doi: 10.2905/JRC.RJDFN28 PID: http://data.europa.eu/89h/f14f5209-f032-4218-a89a-4643143809af

Keywords

AssessmentsBehavioural EconomicsDiscriminationEducationSocial PsychologySocial StratificationSociologySurvey ExperimentTeachers

Data access

CSV

CSV – comma-separated values – files store tabular data (numbers and text) in plain text. Each line of the file is a data record. Each record consists of one or more fields, separated by commas.

Downloadable file

A downloadable file for the dataset.

Use conditions
Creative Commons Attribution 4.0 International

CC BY 4.0 lets others distribute, remix, tweak, and build upon the author’s work, even commercially, as long as they credit the author for the original creation. This is the most accommodating of licences offered. Recommended for maximum dissemination and use of licenced materials.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • Open-access raw and working datasets (n=1,717) from an online survey experiment on Spanish pre-service teachers to study assessment bias by student’s ascribed characteristics. The experiment was deployed in 2023 with Qualtrics software as a collaboration between the JRC-CAS-DIGCLASS Project and researchers from the WZB Berlin Social Science Centre and Seville University. These data allow researchers to replicate the main findings from our project or use the data for new analyses, complying with the FAIR principles.

Publications

Publication
Gil Hernandez, C., Pañeda-Fernández, I., Salazar, L. and Castaño Muñoz, J., A Factorial Survey Experiment on Teacher’s Bias in Assessments, European Commission, Seville, 2023, JRC135784.
European Commission, Seville, Spain
  • DIGCLASS-BIAS contains the open-access raw and working datasets (n=1,717) from an online survey experiment on Spanish pre-service teachers to study assessment bias by student’s ascribed characteristics. The experiment was deployed in 2023 with Qualtrics software as a collaboration between the JRC-CAS-DIGCLASS Project and researchers from the WZB Berlin Social Science Centre and Seville University. These data allow researchers to replicate the main findings from our project or use the data for new analyses, complying with the FAIR principles.

Temporal coverage

From date To date
2023-04-11 2023-06-05

Additional information

Published by
European Commission, Joint Research Centre
Contact email
JRC-CAS-DIGCLASS (at) ec.europa.eu
Update frequency
other

The event occurs with another type of regularity (for instance, every leap year).

Data theme(s)
Education, culture and sport

dataset theme covering the domains of education, which facilitates learning and the acquisition of knowledge, skills, values, beliefs, and habits; culture, which includes the social behaviour, norms, knowledge, beliefs, arts, laws, customs, capabilities, and habits found in human societies; and sport, encompassing competitive physical activities or games that improve physical ability, skills, and provide enjoyment to participants as well as entertainment to spectators

Government and public sector

dataset theme covering the areas of government and the public sector, government being the system or group of individuals governing an organised community, usually a state, and the public sector comprising the segment of the economy involving public services and enterprises, which may be managed by central, regional or local authorities

Geographical name(s)
Issued date
2023-11-09
Created date
13 Nov 2023 08:06
Modified date
15 Nov 2023 11:51
Landing page
Dataset identifier
Other identifiers
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