Anna van 't Veer
Dr. Anna van ’t Veer is an assistant professor at the Methodology and Statistics department focusing on responsible research practices and developing and improving methods that are used in psychological science.
Anna van ‘t Veer is an assistant professor at the Methodology and Statistics department of the Psychology institute at Leiden University. With an interdisciplinary background in psychology, behavioural economics, and social neuroscience, her research focuses on developing and improving methods and practices in psychology and social neuroscience, in all stages of the research lifecycle. She has a special interest in enhancing researcher and scientific integrity through teaching responsible research values and practices. She has published on both theory and implementation of practices such as replication and preregistration. She was one of the first researchers in psychology to publish a Registered Report, is actively involved in open science initiatives, conducts meta-scientific and scientometric studies, and collaborates with other experts in this area. With this network, she has published about models for large-scale collaborations to enhance scientific value, and she has conducted such large-scale projects (e.g., where many labs jointly replicate studies within psychology, or where many analysis teams analyse the same neuroimaging dataset).
She is the founder of the Open Science Community Leiden, is an editor at Collabra: Psychology, contributes to the Ethics Committee of the Psychological Science Accelerator (a global lab network), and is a member of the Code of Conduct Committee of the Society for Improvement of Psychological Science (SIPS).
Dr. van 't Veer received her psychology BA and MA from Leiden University, and her PhD from Tilburg University (Social Psychology, Tilburg Institute for Behavioral Economic Research), where she studied moral psychology. During her time as a PhD-student, she developed a special interest in improving the way researchers practice science; why and how should researchers preregister their studies? How can experimental designs be optimized in order to learn as much as possible? How are replications best performed? And how do daily research choices relate to principles of transparancy and Open Science? After receiving her PhD, she accepted a postdoc position at Leiden University studying neurobiology of fatherhood. From this time on, she has also been actively involved in the development and improvement of scan-protocols and analysis pipelines for the MRI facilities of the Leiden Institute for Brain and Cognition (LIBC).
Dr. Anna van ‘t Veer’s research focuses on developing and improving methods that are used in psychological science. Keywords are (promoting) open science, meta science, research integrity and transparency. She is actively involved in open science initiatives, resulting in publications on replication and pre-registration and collaborations with other experts in this area. With this network, she has published about models for large-scale collaborations to enhance scientific value, and she has conducted such large-scale projects. Current projects involve research integrity and estimating which of many original findings is are most valuable to put our replication efforts towards (see SIPS 2019 prestudy poster).
Nosek, B. A., Beck, E. D., Campbell, L., Flake, J. K., Hardwicke, T. E., Mellor, D. T., van 't Veer, A. E., & Vazire, S. (2019). Preregistation is hard, and worthwhile. Trends in cognitive sciences, 23(10), 815-818.
Isager, P. M., van Aert, R. C. M., Bahník, Š., Brandt, M. J., DeSoto, K. A., Giner-Sorolla, R., … Lakens, D. (2020, September 2). Deciding what to replicate: A formal definition of “replication value” and a decision model for replication study selection. https://doi.org/10.31222/osf.io/2gurz
Dr. Anna van ‘t Veer teaches courses in the bachelor's programmes of Psychology (e.g., Good Research Practices, Perspective on Career Planning), in the (research) master's programmes of Psychology (e.g., Responsible Research in Practice, fMRI Data and Statistics), and in the Graduate School for Social Sciences (Scientific Conduct for PhD's and Postdocs).
Co-supervision of PhD candidates
- Center for Open Science Replication Grant (2013): “Reproducibility grant proposal: Prescribed optimism, Is it right to be wrong about the future?” (with Bethany Lassetter & Mark J. Brandt). See for the completed replication report: https://osf.io/8u5v2/
- EASP travel grant to visit professor Dan Ariely at the Fuqua School of Business, Duke University, Durham, North Carolina, February-March 2014.
- Graduate Student Travel Award from SPSP for research on interoception and moral judgments presented in a symposium on morality, Long Beach, California, February 2015.
- Isager, P. M., van Aert, R. C. M., Bahník, Š., Brandt, M. J., DeSoto, K. A., Giner-Sorolla, R., Krueger, J. I., Perugini, M., Ropovik, I., van 't Veer, A. E., Vranka, M., & Lakens, D. (2021). Deciding what to replicate: A decision model for replication study selection under resource and knowledge constraints. Psychological Methods. Advance online publication. https://doi.org/10.1037/met0000438
- Brandt, M. J., IJzerman, H., Dijksterhuis, A., Farach, F. J., Geller, J., Giner-Sorolla, R., Grange, J. A., Perugini, M., Spies, J. R., & van 't Veer, A. E. (2013). The replication recipe: What makes for a convincing replication? Journal of Experimental Social Psychology, 50, 217-224 see: https://www.sciencedirect.com/science/article/pii/S0022103113001819
- Open Science Collaboration. (2015). Estimating the reproducibility of psychological science. Science, 349, 6251, 943. aac4716. https://doi.org/10.1126/science.aac4716 see: https://osf.io/447b3
- Nosek, B. A., Beck, E. D., Campbell, L., Flake, J. K., Hardwicke, T. E., Mellor, D. T., van 't Veer, A. E., & Vazire, S. (2019). Preregistation is hard, and worthwhile. Trends in Cognitive Sciences. https://doi.org/10.1016/j.tics.2019.07.009
- van ‘t Veer, A. E., Giner-Sorolla, R. (2016). Pre-registration in Social Psychology—A discussion and suggested template. Journal of Experimental Social Psychology. doi: 10.1016/j.jesp.2016.03.004 see: https://osf.io/sn6by/
About open science / open data:
- Armeni, K., Brinkman, L., Carlsson, R., Eerland, A., Fijten, R., Fondberg, R., Heininga, V. E., Heunis, S., Koh, W. Q., Masselink, M., Moran, N., O Baoill, A., Sarafoglou, A., Schettino, A., Schwamm, H., Sjoerds, Z., Teperek, M., van den. Akker, O. R., van ‘t Veer, A. E. & Zurita-Milla, R. (2021). Towards wide-scale adoption of open science practices: The role of open science communities. Science and Public Policy, 48(5), 605-611. https://doi.org/10.1093/scipol/scab039
- van ’t Veer, A. E., Sleegers, W. W. A. (2019). Psychology data from an exploration of the effect of anticipatory stress on disgust vs. non-disgust related moral judgments. Journal of Psychology Data , 7(1), 1. https://doi.org/10.5334/jopd.43
- Hafkemeijer, A., & van ’t Veer, A. E. (2018). Manual for resting state fMRI analysis: Preprocessing, network and seed-based dual regression. Retrieved from osf.io/qawdt
- Van ’t Veer, A. E. (2017, March). Pre-registering research in Child Development: Why, when, what, and how. Retrieved from osf.io/cky48
- van ’t Veer, A.E., Hafkemeijer, A., van Steenbergen, H., Bas-Hoogendam, J.M. (2017, March). Philips B0 unwarping in FSL FEAT on a cluster or locally. Retrieved from osf.io/yxcpn
This manual describes how to pre-process and use a B0 map to correct other fMRI scans for distortions due to field inhomogeneities. It can be found here: https://osf.io/hks7x/ (>300 downloads), and it is recommended by the people behind FSL (one of the major software packages for MRI data analysis, see: https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FUGUE/Guide#Non-SIEMENS_data).
- van ’t Veer, A.E. (2016, May). Public template for pre-registration.
This template accompanies van ‘t Veer & Giner-Sorolla (2016)(see above), and it is incorporated in the website of the Open Science Framework: anyone who creates a project page for their research can use the registration function to time-stamp their hypotheses, methods and analysis plan according to this manual, after which a permanent link to the frozen registration can be shared with reviewers and in papers (> 500 preregistrations with this template in the first 1.5 years since publication). It can be found here: https://osf.io/56g8e/. An R package is available here: https://cran.r-project.org/web/packages/prereg/prereg.pdf