De afdeling Methoden en Statistiek verzorgt trainingen voor PhD-kandidaten en andere onderzoekers. De cursussen worden gedurende het academische jaar aangeboden vanuit de Graduate School of Social and Behavioural Sciences, of vanuit de Utrecht Summer School.
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)
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
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
19 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
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
