Postgraduate Education

The Department of Methodology and Statistics provides training for PhD candidates and other researchers. These courses are organized throughout the academic year as part of the Graduate School of Social and Behavioural Sciences, or as part of the Utrecht Summer School.

Spring 2020

Mplus: How to get started?
A compact 1-day workshop on using Mplus, how to get the syntax running, how to interpret the output and what to do with error messages.
08 April 2020 (course code: S29)

Applied Bayesian Statistics
A 5-day course on the basics of Bayesian statistics, offering hands-on experience with R, JAGS and Bain.
20 April - 24 April 2020 (course code: S64)

Summer 2020

Hypothesis Testing 3.0
An applied 4-days course on evaluating theory-based hypotheses (via p-values, Bayes factors and information criteria) offering hands-on experience.
06 July - 09 July 2020 (course code: S13)

Introduction to multilevel analysis
A 3-day course on the basics of multilevel modelling, offering hands-on experience with HLM.
08 July - 10 July 2020 (course code: S14)

Advanced Multilevel Analysis
A 3-day course on advanced topics in multilevel modelling.
13 July – 15 July 2020 (Course code: S05)

Qualitative Research Catalogue: An Overview of Three Methods
A 5-day course on the fundamentals of three qualitative research methods – Case study research, Grounded theory, and Ethnography.
06 July – 10 July 2020 (Course code: S35)

Introduction to Structural Equation Modelling using Mplus
A 5-day course providing the basics of SEM and hands-on experience with Mplus.
06 July - 10 July 2020 (course code: S20)

Advanced course on using Mplus
A 5-day course for the more experienced Mplus user with a special focus on longitudinal modeling.
13 July - 17 July 2020 (course code: S23)

Data Science: Statistical programming with R
A 5-day beginners course in doing statistical analyses with R.
06 July - 10 July 2020 (course code: S24)

Data Science: Multiple imputation in practice
A 4-day course on how to appropriately handle missing data using a modern and flexible imputation technique.
13 July - 16 July 2020 (course code: S28)

Data Science: Data analysis
A 5-day course offering hands-on experience with applying data analysis and visualization techniques, both venerable and novel, using R.
20 July – 24 July 2020 (course code: S31)

Applied multivariate analysis
A 10-day course offering hands-on experience with SPSS for the most frequently encountered multivariate statistical techniques.
17 August - 28 August 2020 (course code: S04)

Modeling the dynamics of intensive longitudinal data
A 5-day course on diverse statistical techniques and their theoretical foundations for the study of dynamics in intensive longitudinal data.
17 August – 21 August 2020 (course code: S36)

Survey research: Design, implementation, and data processing (in collaboration with CBS)
A 5-day course covering the essentials of survey methodology and analysis.
17 August – 21 August 2020 (course code: S15)

Survey research: Statistical analysis and estimation (in collaboration with CBS)
A 5-day in-depth course on total survey error (i.e., coverage, sampling, nonresponse, and measurement error).
24 August - 28 August 2020 (course code: S16)

Advanced Survey Design
A 5-day course. This course will discuss the state of the art in both the design of surveys, and the analysis of survey data. We explicitly discuss new ways to analyse text data and sensor data generated by modern surveys.
31 August – 04 September 2020 (course code S11)