Katarina Bujandrić

Conducted comprehensive statistical analyses on a large dataset using R, including testing for differences, correlations, and various models such as quantile regression. Utilized R Markdown to ensure transparency and reproducibility, employing custom functions and conditional logic to efficiently handle numerous similar analyses applied to different variables.

Mentored high school students on conducting and reporting replications of studies in psychology and completing original quantitative scientific projects. Coordinated and organized an annual international multidisciplinary science seminar. Facilitated introductory and team-building workshops for international participants.

Used R to visualize and analyse sociometric data, including fitting Poisson regression models. Wrote and formatted results to be ready for inclusion in an academic publication.

Manual QA testing of the GraphoGame app and creating several visually represented user journeys while keeping in mind the dynamic in the user-contractor-developer triangle. Wrote popular science content to summarize evidence base for the GraphoGame serious game. Selected and organized information and statistics from meta-analyses for marketing purposes

Conceptualized and conducted two online national surveys about the experience of incoming exchange students in Serbia and local students’ perceived barriers for mobility. Analysed the quantitative and qualitative data and produced reports used to decision-makers and universities in Serbia about strategies to improve quality of mobility periods.

The research master's programme (120 ECTS) is a part of the Erasmus Mundus Joint Master Degree and it focuses on clinical linguistics, neurolinguistics and psycholinguistics. The programme includes courses on research methodology and techniques, statistical analysis, as well as findings and theories about language processing, the neurological bases of language and cognition, and evidence-based approaches to diagnosing and treating developmental or acquired language disorders.