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Key terms: generating impact with your PhD project, entrepreneurial skills, innovation, introductory course, relevant for students in all stages of their PhD

The course is specifically designed for people who do not feel comfortable using technical programming software. It introduces a set of digital research methods.

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

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

Key terms: qualitative and quantitative research, complex causality, set-theory, fsQCA software package, introductory course.

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

Key terms: Qualitative research, Grounded Theory, inductive data analysis, ATLAS.ti, introductory course, relevant for students in any PhD phase.

Key terms: qualitative research, coding textual data, inductive, ATLAS.ti, introductory course, relevant for students in any PhD phase.

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

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