Courses

Key terms: quantitative research, statistical methods, SPSS, introductory course, relevant for students in any PhD phase.

Key terms: generative AI (GenAI), Large Language Modules (LLM), ChatGPT, introductory course, relevant for students in any PhD phase.

Key terms: quant. research, experience sampling methodology (ESM), designing intensive longitudinal studies, analysis of intensive longitudinal data (with R)

Key terms: analysis of literature, literature search, PRISMA, use of AI, write-up templates, ATLAS.ti, Elicit, ASreview, introductory course.

Key terms: qualitative and quantitative research, exploring subjectivities (such as beliefs and preferences) around complex and/or value-laden topics.

Key-terms: quantitative research, data lifecycle (acquire, clean, use/reuse, publish, preserve/destroy), FAIR-principles, R (analytic software).

Key terms: mandatory topic, research ethics, dealing with dilemma’s, academic integrity declaration, introductory course.

Key terms: publishing skills, clear and structured English phrasing, organising an academic paper, introductory course, relevant for students in any PhD phase.

Key terms: mixing qualitative and quantitative methods, designing research, introductory course, relevant for students in any PhD phase.

Key terms: quantitative research, research synthesis, meta-analysis, advanced course, relevant for students in any PhD phase.