معرفی
Martina Sladekova is a Lecturer in Psychology at the University of Sussex's School of Psychology. She holds an Associate Fellow certification from the Higher Education Academy (2022) and specializes in robust statistical methods, publication bias analysis, and open science practices. Her research addresses statistical methodologies in psychology and their real-world applicability, with a focus on improving transparency and reproducibility in scientific research.
Education: She earned a PhD in Quantitative Research Methods from the University of Sussex (2020–2024), an MSc in Cognitive Neuroscience from the University of Sussex (2018–2020), and a BA in Applied Psychology and Criminology from the University of Brighton (2014–2017).
Research interests include robust estimation techniques, sources of bias in statistical models, open science advocacy, and reproducible coding practices using tools like R, RMarkdown, and Shiny. Her work frequently intersects with interdisciplinary meta-analysis in medicine, environmental sciences, and economics.
Grants: She was part of the ESRC-funded project "The Role of Robust Statistical Methods in the Credibility Revolution of Psychological Science" (2020–2024). Teaching roles include leading data analysis skills labs, doctoral supervision, and courses on research methods at both the University of Sussex and Brighton.
Labs/Teams: Collaborates with interdisciplinary groups focusing on statistical methodology and open science initiatives, though specific lab affiliations are not explicitly mentioned.
