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 2019

Applied Bayesian Statistics
A 4-day course on the basics of Bayesian statistics, offering hands-on experience with OpenBUGS or R and JAGS
15 April 2019-18 April 2019

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
April 2019. (The exact date will be announced later)

 

Summer 2019

Hypothesis Evaluation: p-values, Bayes factor, and information criteria
An applied 4-days course on evaluating theory-based hypotheses (via p-values, Bayes factors and information criteria) offering hands-on experience with R
08 July 2019 – 11 July 2019

Introduction to Multilevel Analysis
A 3-day course on the basics of multilevel modeling, offering hands/on experience with HLM
10 July 2019 - 12 July 2019

Advanced Multilevel Analysis
A 3-day course on advanced topics in multilevel modelling
15 July 2019 - 17 July 2019

Qualitative Research Catalogue: An Overview of Three Methods
A 3-day course on the fundamentals of three qualitative research methods – Case study research, Grounded theory, and Ethnography.
15 July – 17 July, 2019. (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.
08 July 2019 - 12 July 2019

Advanced course on using Mplus
A 5-day course for the more experienced Mplus user with a special focus on longitudinal modeling
15 July 2019 - 19 July 2019

Data Science: Statistical programming with R
A 5-day beginners course in doing statistical analyses with R
15 July 2019 - 19 July 2019
Note that if you combine this course with the other two Data Science courses we offer, you can obtain the Certificate in Methodology & Statistics of Data Science.

Data Science: Multiple imputation in practice
A 4-day course on how to appropriately handle missing data using a modern and flexible imputation technique
22 July 2019 - 25 July 2019
Note that if you combine this course with the other two Data Science courses we offer, you can obtain the Certificate in Methodology & Statistics of Data Science.

Data Science: Data analysis and visualisation
A 5-day course offering hands-on experience with applying data analysis and visualization techniques, both venerable and novel, using R
29 July 2019 - 02 August 2019
Note that if you combine this course with the other two Data Science courses we offer, you can obtain the Certificate in Methodology & Statistics of Data Science.

Applied multivariate analysis
A 10-day course offering hands-on experience with SPSS for the most frequently encountered multivariate statistical techniques
12 August 2019 - 23 August 2019

Survey research: Design, implementation, and data processing (in collaboration with CBS)
A 5-day course covering the essentials of survey methodology and analysis
19 August 2019 - 23 August 2019

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)
26 August 2019 – 30 August 2019

A Gentle Introduction to Bayesian Statistics
A 5-day course gently introducing Bayesian estimation for linear regression analysis, factor analysis, mediation analysis, and longitudinal growth models
26 August 2019 - 30 August 2019

 

Autumn 2019

Advanced Survey Design
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
02 September 2019 – 05 September 2019