Methods and Statistics Summer School Courses

The Department of Methodology and Statistics (M&S) offers over 20 courses, regarding topics such as: SEM models, longitudinal data methods, R, Python, text mining, survey research, hypothesis evaluation/model selection, Bayes, multilevel modeling, networks, qualitative research methods, and many more data science topics!

Course overview

Below, you can find a list of our courses. You can also read more about them via our website.

M&S Summer School programme

SEM models

• Introduction to Structural Equation Modeling using lavaan - online only
• Introduction to Structural Equation Modeling using Mplus
• Advanced longitudinal modeling in Mplus

Longitudinal

• Modeling the dynamics of intensive longitudinal data

R

• Introduction to Structural Equation Modeling using lavaan - online only
• Data Science: Statistical programming with R
• Data Science: Introduction to Text Mining with R

Python

• Data Science: Programming with Python

Text mining

• Data Science: Introduction to Text Mining with R
• Data Science: Applied Text Mining

Survey

• Survey research: Design, implementation, and data processing
• Survey research: Statistical analysis and estimation
• Advanced Survey Design

Hypothesis evaluation / model selection

• Open Science Hypothesis Testing

Bayes

• A Gentle Introduction to Bayesian Estimation
• Open Science Hypothesis Testing

Multilevel analysis

• Introduction to multilevel analysis

Qualitative research

• An introduction to Qualitative Research Methods

Data science

• Data Science: Programming with Python
• Data Science: Statistical programming with R
• Network Science
• Data Science: Introduction to Text Mining with R
• Data Science: Data analysis
• Data Science: Applied Text Mining
• AI-Aided Systematic Reviewing

Contact

Do you have any questions? Feel free to send an email to ms.summerschool@uu.nl.

Hope to see you in summer!