Amsterdam, Netherlands

Open Science & LMER

when 18 July 2022 - 29 July 2022
language English
duration 2 weeks
credits 3 EC
fee EUR 950

The replication crisis in social sciences denotes that findings in behavioral science often cannot be replicated, making it one of the most impactful events. The Open Science movement, which aims to deal with the replication crisis, is recognized its importance by more and more researchers. Meanwhile, as LMER is found its statistical sensitivity and applicableness in Open Science practice, the current course will also introduce why and how to apply LMER in your research, and how to conduct its power analysis. he primary aim of the course is to introduce the most current Open Science practice in research and how to integrate it into students’ own research. Meanwhile, with a more in-depth understanding of statistics used in pre-crisis research, researchers also put efforts into employing new advanced statistical methodologies, including linear mixed-effect regression (LMER), which provides more accurate results than traditional ANOVA and regression.

Course leader

Lei Fan

Target group

We especially welcome students who are either in their second year of research master programs or in a starting phase of doctoral programs in the fields of psychology or quantitative social sciences (including quantitative linguistics, sociology, anthropology, and else). Senior researchers and PhDs are also welcome, as well as senior bachelor students and first-year master students majoring in social statistics and related fields.

Course aim

By the end of this course, students will be able to:

- Understand the current Open Science progression, and to be able to comply with the Open Science practice guideline practically, such as DMP and pre-registration.
- Understand how LMER helps with more accurate and reliable results than traditional statistics and how to use LMER analysis in different research fields.
- Calculate a priori power analysis for LMER analysis with data simulation within the Open Science structure.

Credits info

3 EC
45 contact hours

Fee info

EUR 950: Tuition fees two-week course:

VU Students/PhD candidates and employees of VU Amsterdam* or an Aurora Network Partner €650
Students at Partner Universities of VU Amsterdam €900
Students and PhD candidates at non-partner universities of VU Amsterdam €950*
Professionals €1150

Early Bird offer
Applications received before 15 March (CET 23:59) receive €50 Early Bird discount!


VU Amsterdam Summer School offers two kinds of scholarships: the Academic Scholarship and the Photographer Scholarship. More information can be found on the VU Amsterdam Summer School website.