MethodsNet ima sve naše preporuke temeljem iskustva članova iz prve ruke.
U okviru doktorske škole Radboud Sveučilišta moguće je dodatno osposobljavanje u okviru istraživačkih programa koji obuhvaćaju osnovne, kvalitativne, komparativne, statističke i Big data pristupe. Kompletan popis dostupnih tečajeva i mogućnosti kombiniranja u okviru dva tjedna krajem lipnja potražite na:
Sveučilište predlaže sekvenciranje rada, ali se možete opredijeliti i za različite opcije u okviru prvog i drugog tjedna sudjelovanja.
| Week 1 | Week 2 |
| Multi-method research | – Multi-method research in practice – Social Science measurement |
| Interpretive Research Methods | – Qualitative expert interviews |
| Qualitative Data Analysis | – Advanced Qualitative Data Analysis – Qualitative expert interviews |
| Comparative Research Designs | – Multi-method research in practice – Social Science measurement – Comparative Historical Analysis |
| Qualitative Comparative Analysis | – Advanced Qualitative Comparative Analysis – Comparative Historical Analysis – Multi-method research in practice |
| Introduction to Process Tracing | – Process tracing in practice – Comparative Historical Analysis |
| Introduction to Inferential Statistics | – Multi-method research in practice |
| Regression I: Linear Regression | – Regression 2: Logistic Regression and General Linear Models – More than an introduction to Structural Equation Modelling |
| Multilevel regression analysis of cross-sectional and panel data with R | – Panel Data Analysis – Regression 2: Logistic Regression and General Linear Models – More than an introduction to Structural Equation Modelling – Longitudinal Data Collection with the DearScholar Diary App |
| Introduction to R | – Collecting Web data |
| Discourse Network Analysis | – Inferential Network Analysis |
| Introduction to Quantitative Text Analysis | – Collecting Web data – Introduction to Machine Learning for social sciences |