Related Experiment Video
Updated: Apr 21, 2026

Breakfast Habits among Schoolchildren in the City of Uruguaiana, Brazil
Published on: July 29, 2020
Introducing "ELLAS Survey Dataset" an open resource about factors that influence career interest and leadership in
Indira R Guzman1, Boris Branisa2, Guillermo Davila3
1California State Polytechnic University, Pomona, USA.
Abstract:
The persistent gender gap in Science, Technology, Engineering, and Mathematics (STEM) fields, particularly in leadership roles, remains a pressing global challenge, including in Latin America. Understanding the factors that influence individuals' interest in STEM careers and their motivation to assume leadership positions is essential for advancing gender equity and inclusive innovation. Although existing studies have explored these topics, most rely on qualitative methods, small samples, or single-country analyses, limiting regional comparability. In contrast, this manuscript introduces a comprehensive, openly accessible dataset and a detailed multilingual data dictionary that enable systematic comparisons across three Latin American countries, representing an innovative contribution to the study of gender and STEM in the region. We present the methodology and data structure of a large-scale, multi-country survey conducted in Bolivia, Brazil, and Peru, each with >3000 respondents. The study forms part of the Equality in Leadership for Latin America STEM (ELLAS) research network, funded by the International Development Research Centre (IDRC), which promotes the principles of open science and open data. We describe the survey design, ethical protocols, and data curation procedures implemented to ensure transparency and methodological rigor. The resulting ELLAS Survey Dataset offers one of the most extensive quantitative resources on gender and STEM in Latin America. Our goal is to make the ELLAS data accessible to the research community for further analysis. This article aims to guide researchers interested in using the dataset and to support the generation of evidence that can inform policies fostering women's participation and leadership in STEM fields.
More Related Videos
13:44Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
10:39Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
Published on: August 29, 2025
Related Concept Videos
Data Collection by Survey
Types of Surveys
Surveys
Cross-Sectional Research
Longitudinal Research
Environmental Influences on Intelligence