Sorry! De informatie die je zoekt, is enkel beschikbaar in het Engels.
This programme is saved into My study choice.
This programme cannot be saved.
You are not logged in yet to My study choice Portal. Login or create an account to save your programmes.
Something went wrong, try again later.

Open Science & LMER

In this course, lecturers will introduce Open Science practice in research, and how to integrate it for junior researchers.

Course description

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.

There have been concerns about the credibility of findings in psychological and social science for nearly two decades. The term “replication crisis” which originated in the early 2010s, denotes that findings in behavioral science often cannot be replicated. Many scientists question the accuracy of published findings and now call for increased scrutiny of research practices in psychology and sociology. Open Science is the movement that aims to deal with the replication crisis, especially in more open and collaborative research practices in which publications, data, software, and other types of academic output are shared at the earliest possible stage and made available for reuse, including replication. The 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. 

Our registration deadline has passed, it is no longer possible to apply. You can leave your contact details to be added to our summer 2023 newsletter.
 

About this course

Course level

  • Master

Course coordinator

  • Lei Fan

Credits

  • 3 ECTS

Contact hours

  • 45

Language

  • English

Tuition fee

  • €650 - €1150

Additional course information

  • Learning objectives

    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.
  • Prior knowledge

    The attendees should have basic knowledge of classic statistics (null hypothesis significance testing framework), basic skills of using RStudio and they should be able to design their quantitative methodology planning.

  • Course schedule

    Classes will take place from Monday 18 July until Friday 29 July. In general classes will be during the week between 9am and 17pm. Wednesday afternoons and weekends will be off for optional social activities or personal time. Good to be aware that self-study will be required in your private time (nights and weekends). Sunday 17 July and Sunday 31 July are arrival and departure days (in case you arrange accommodation via our housing service). More details will be shared in the course syllabus which will be shared with the participants in June. 

  • About the Course Coordinator

    Lei Fan M.Sc. is a 4th-year PhD candidate in the Department of Experimental and Applied Psychology at VU Amsterdam. His work is dedicated to better understanding how people navigate threats and opportunities posed by social living. He uses a combination of ideas and techniques from social psychology, personality psychology, behavioral genetics, evolutionary biology, and advanced quantitative analysis to better understand the human mind.

Team VU Amsterdam Summer School

We are here to help!

Skype: by appointment via amsterdamsummerschool@vu.nl

Contact

  • Bianca
  • Programme Coordinator
  • Celia
  • Summer and Winter School Officer
Celia VU Amsterdam Summer & Winter School
  • Helena
  • Summer and Winter School Officer
Helena VU Amsterdam Summer and Winter School