Scientific practices and methods to identify their weak spots in order to strengthen science.
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Marcel van Assen
Statistical methods to combine studies, publication bias, QRPs, fraud, reproducibility, improving pre-registration & registered reports.
Improving science by investigating problems and possible solutions. Bias, QRPs, power, preregistration.
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Replications & reproducibility in psychology. Stereotype threat; gender gap in mathematics; psychometrics; differential item functioning.
Improving psychology via empirical research. Bias, errors, replication, & reproducibility. Co-developer of statcheck.
Leonie van Grootel
Interested in the potential of mixed methods research and qualitative research for research integrity and systematic review methodology.
Amir Masoud Abdol
Applied mathematician, and computational scientist. Interested in the applications of machine learning methods to further understand and prevent p-hacking.
Robbie van Aert
Meta-analysis, publication bias methods, assessing replicability of research. Developer of the publication bias method p-uniform.
Passionate about fighting publication-bias and strengthening science and meta-analysis. Understanding human biases and improving statistical solutions
Stereotype threat research: Conducting a pre-registered replication and an investigation from a psychometric point of view.
Countering outcome reporting bias by using structural equation modeling; reproducibility, p-hacking, and meta-analyses.
Olmo van den Akker
Studying researchers’ interpretation of statistical results and finding ways to make preregistration more effective.
Anton Olsson Collentine
Heterogeneity in research, meta-analysis and facilitating efficient science.
PhD student from 2014 to 2018
PhD student from 2012 to 2017