Exploring European Identity Through Mixed Methods Research

“One or Many? Understanding European Identity in a Mixed-Methods Study” was the title of the MAXDAYS 2025 session I watched tonight. The speaker was Justyna Okrucińska worked with Verbi before starting with a doctoral program. The project they spoke about was from their masters thesis. Justyna used a European dataset (MANIFESTO) to investigate identity. Thirteen items that reflect perspectives on the EU were studied: cultural diversity, freedom to travel, stronger say in the world, democracy, loss of cultural identity, waste of money, peace, economic prosperity, more crime, social protection, and not enough border control. Justyna used for the quantitative part the logistic PCA model: principal component analysis to search for the most popular combinations of elements picked by respondents. For the qualitative component, Justyna performed text analysis to search for the most popular elements mentioned by political parties and connecting quantitative elements with a qualitative meaning, they noted. The sample was political manifestos from 23 documents, 2,000 pages, 4 languages! For the first round of coding, Justyna mentioned using text search and autocode to identify codes based on a set of keywords. Justyna identified keywords that helped recognize relevant parts of a text, the search was performed for each country, and the hit was coded with the relevant keyword code for the entire paragraph. For the second round of coding, Justyna used AI Assist. She explained that this was to disqualify segments, merge segments, or assign thematic codes. Justyna mentioned she speaks two out of the four languages from the sample: Polish and German! Justyna explained that AI Assist helped. For longer segments, she used the summary function and selected a language for the summary. Justyna shared that she used memos in different languages. The Document Portrait feature was used to compare coding patterns between documents. Code Metrics Browser and Code Coverage were analyzed, and Justyna shared heatmaps produced. The Code Relations Browser helped Justyna select combinations of codes of interest. This tool generates visuals that allow for comparison of different code use. During the question and discussion session, participants asked about analyzing documents from different countries. Justyna emphasized that the Document Portrait feature provides an easy-to-understand visual.

How can MAXQDA be used for a multi-language mixed methods study? AI-generated image.