dr. Robbie van Aert

Bio

I am currently a postdoctoral researcher at the department of Methodology and Statistics and member of the Meta-Research Center. I am also a BITSS Catalyst advocating research transparency.

My research focuses on developing statistical methods for conducting meta-analyses. Many methods that I worked on are methods to correct for publication bias in a meta-analysis. I also worked on meta-analysis methods to combine a published original study and replication. Moreover, I regularly participate in large-scale collaborative projects like the Reproducibility Project: Psychology and Many Labs 2. Other interests of mine are R programming and sports analytics.

Please see my personal website for more information: http://www.robbievanaert.com/

Expertise

My expertise is on meta-analysis methods.

Subjects

• Research Master: Experimental Research and Meta Analysis
• Introduction to Research Methodology
• Research Methodology for International Students
• Introduction to Research Methodology
• Public Administration Research 3: Quantitative Research

Recent publications

1. The effect of publication bias on the Q test and assessment of hetero…

   Augusteijn, H. E. M., van Aert, R. C. M., & van Assen, M. A. L. M. (2019). The effect of publication bias on the Q test and assessment of heterogeneity. Psychological Methods, 24(1), 116-134.

2. Examining reproducibility in psychology

   Van Aert, R. C. M., & Van Assen, M. A. L. M. (2018). Examining reproducibility in psychology: A hybrid method for combining a statistically significant original study and a replication. Behavior Research Methods, 50(4), 1515-1539.

3. Multistep estimators of the between-study variance

   Van Aert, R. C. M., & Jackson, D. (2018). Multistep estimators of the between-study variance: The relationship with the Paule-Mandel estimator. Statistics in Medicine, 37(17), 2616-2629.

4. Meta-analysis

   van Aert, R. (2018). Meta-analysis: Shortcomings and potential. s.l.: GVO drukkers & vormgevers B.V. | Ponsen & Looijen.

5. Many Labs 2

   Many Labs 2 (2018). Many Labs 2: Investigating variation in replicability across samples and settings. Advances in Methods and Practices in Psychological Science, 1(4), 443-490.