
David Canitrot
Performance & Data Analyst
Social Psychology, Research Methodology, Quantitative Analysis
As a social psychologist, it is my field of interest the way in which the different aspects of an individual (Identity, Personality, Experiences) interact with environmental contexts to create action, and how this action impacts organisations, institutions and social trends.
In this context, I employ statistical procedures and quantitative methodologies to bring evidence into theoretical frameworks.
Qualifications
- BSc Psychology – Universidad Autonoma de Madrid
- MSc Research Methodology – Universidad Autonoma de Madrid & Universidad Complutense de Madrid
Areas Of Interest
- Personality and social context
- Group dynamics
- Behavioural economics
- Social dynamics of healthcare
OVERVIEW
As a research assistant at ICC, I provide data analysis and data science expertise to provide accurate cross-sections of the groups we work with.
When a question is asked about a particular issue, like the results of a given policy or the direction of a general trend, I aim to provide insights of who are the people involved or affected, what are their particular lived experiences and in which manner those entangle into a collective that informs our data at the macro level.
This involves a combination of quantitative data, qualitative data and theoretical approaches that are developed in tight collaboration with my colleagues at ICC to bring a holistic, accurate, enriching overview regarding the different questions that are to be answered.
PUBLICATIONS
- Blanco-Canitrot, D., Alvarado, J. M., & Ondé, D. (2018). Consequences of disregarding metric invariance on diagnosis and prognosis using psychological tests. Frontiers in Psychology, 9, Article 167. https://doi.org/10.3389/fpsyg.2018.00167