- Mplus: How to get started? This course is a compact 1-day workshop on using Mplus to get you started.
- Data Science: Statistical Programming with R R is rapidly becoming the standard platform for data analysis. This course offers an elaborate introduction into statistical programming in R.
- Introduction to Structural Equation Modeling using Mplus The main objective of this course is to learn how to analyse several models with Mplus (e.g. path models, multiple group models, mediation and moderation, confirmatory factor analysis).
- Introduction to Multilevel Analysis This course will teach you the theoretical basics of multilevel modelling and some important methodological and statistical issues.
- Advanced Course on using Mplus The course consists of in-depth lectures on the fundamentals of Mplus and advanced longitudinal models.
- Advanced Multilevel Analysis This three day course will teach you advanced topics in multilevel modelling.
- Data Science: Introduction to Text Mining with R In this course, students will learn how to apply text mining methods on text data and analyse them in a pipeline with statistical learning algorithms.
- Data Science: Multiple Imputation in Practice This 4-day course teaches you the basics in solving your own missing data problems appropriately.
- Contemporary Conflict Analysis: Actors, Issues & Technologies of 21st Century Warfare This Summer School equips scholars and professional practitioners alike with cutting-edge knowledge and transferable skills for mapping, analysing and responding to warfare in the 21st century.
- Data Science: Data Analysis This course offers a range of techniques and algorithms from statistics, machine learning and data mining to make predictions about future events and to uncover hidden structures in data.
- Data Science: Applied Text Mining This course introduces the basic and advanced concepts and ideas in text mining and natural language processing.
- Internationalisation Challenged – Rethinking Global Higher Education The changing world order is affecting higher education. Internationalisation has become an important dimension of higher education indeed, but is it up to the challenges ahead?
- Modeling the Dynamics of Intensive Longitudinal Data This course discusses how to study dynamics in intensive longitudinal data, such as ambulatory assessments (AA), experience sampling method (ESM) data, ecological momentary assessments (EMA), real time data capture, observational data or electronic daily diaries.
- Survey Research: Design, Implementation and Data Processing This course covers the essentials of modern survey methodology, organised by the Department of Methodology and Statistics in collaboration with Statistics Netherlands (CBS).
- A Gentle Introduction to Bayesian Statistics This course describes the stages involved in Bayesian analysis: specifying the prior and data models, deriving inference, model checking and refinement.
- Survey Research: Statistical Analysis and Estimation This course is based on a total survey error perspective and discusses the major sources of survey error.
- Advanced Survey Design This course in ‘advanced survey design’ takes participants beyond the introductory courses and will discuss the state of the art in both the design and the analysis of survey data.
- Young Professional Network Day Young Professional Network Day
