FLAMES (Flanders Training Network for Methodology and Statistics) organizes a two-week Summer School aiming at providing practical methodological and statistical training to young researchers (particularly PhD students) from all disciplines.
After the success of the FLAMES Summer School in 2013 (at KULeuven), 2014 (at UGent) and 2015 (at VUB), and with the useful feedback of its participants, we will offer an even better experience, improving on both content and shape.
Whether you are a complete dummy, a starter with a limited knowledge, or a more experienced researcher with a broad basic knowledge in the world of methodology and statistics, the FLAMES summer school offers courses on your level, which emphasizes everyday research practice.
The program consists of 14 courses (called modules) from which participants can choose. Each module seamlessly connects theory with hands-on exercises or lab sessions, focusing on various disciplines and software packages whenever possible. The basic courses are combined in 2 recommended tracks, that directly connect to the prior knowledge of the participant.
This year the FLAMES Summer School will take place at Hasselt University, Campus Diepenbeek. Information on the location and how to reach it can be found here.
A detailed overview of the program is given here.
Course modules offered in week 1:
- Module 1 Basic Parametric Statistics
- Module 2 Multilevel Analysis
- Module 3 Qualitative Data Analysis with NVIVO
- Module 4 Introduction to Practical Statistics
- Module 5 Research Design
- Module 6 Generalized Linear Models and Model Building
- Module 7 Writing Packages in R
Course modules offered in week 2:
- Module 8 Basic Non-Parametric Statistics
- Module 9 Factor Analysis
- Module 10 Research Management
- Module 11 Basic Regression Analysis
- Module 12 Time Series Analysis
- Module 13 Focus Groups
- Module 14 From Research Theme to Qualitative Research Design
To give all participants the possibility to follow courses on his or her own level, it is important to carefully read the prerequisites before registering for a course.
Additionaly there will be an "Introduction to R" course in the last week of August.
Participants with no or limited prior knowledge on statistics, we recommend to take one of the two recommended tracks.
Track 1: Introduction in statistics and methodology
Week 1: Monday September 5, 2016 – Thursday September 8, 2016: 9:30-17:00 and Friday, September 9 9:30-13:00
Week 2: Monday September 12, 2016 – Tuesday September 13, 2016: 9:30-17:00
Give an overview of how to set up a scientific study starting from a research question and how to manage your research project, together with an introduction to statistics for real beginners with no prior knowledge on statistics.
- Introduction to Practical Statistics
- Research Design
- Research Management
Track 2: Basic statistics and methodology
Week 1: Monday September 5, 2016 – Thursday September 8, 2016: 9:30-17:00 and Friday September 9, 2016: 9:30-13:00
Week 2: Monday September 12, 2016 – Thursday September 15, 2016: 9:30-17:00 and Friday September 16, 2016 9:30-13:00
- limited knowledge of basic statistics (meaning: you have had a course in statistics before (for example in your bachelor or master), but you do not know all details anymore)
- basic knowledge of the software package of your choice (SPSS or R): importing data and basic data manipulation
Give an overview of how to set up a scientific study starting from a research question, and give an overview of basic statistical techniques to analyze your data (t-tests, ANOVA, linear regression and non-parametric analyses) and when to use which technique.
After following this track, your statistical knowledge should in principle be broad enough to follow more advanced courses, but be aware that newly acquired information needs some time to be digested.
- Basic Parametric Statistics
- Research Design
- Basic Non-Parametric Statistics
- Basic Regression Analysis
During and in between sessions, participants have the opportunity to closely interact with instructors and other participants, making the most of this experience for their own research. Ties can further be strengthened at the social events. In both weeks, there will be a social event on Wednesday evening. More information can be found here. Participation is for free, but registration is required.
Why participate in the FSS 2016?
- Intensive training by an international staff of highly competent instructors
- Practically oriented with hands-on exercises and/or lab sessions
- Focus on various software packages (SPSS, R, NVIVO)
- Geared towards various disciplines
- Connecting with international participants
Registration, booklet, hand out, coffee breaks, notification of attendance (lunch is not included).
Local organizers at UHasselt: An Creemers, Martine Machiels, Ruth Nysen
Registrations are closed!