SIPS 2021
Data Management for Psychological Science: A Crowdsourced Syllabus
This syllabus provides detailed descriptions of data management topics, resources, and activities that can be used to create a course or workshop on data management. It is based on a session facilitated by DeBolt, M., Herrera-Bennett, A., Lawson, K. M., Schiavone, S., & Wysocki, A. (please see the end of the document for a complete list of contributors)
Embedding open and reproducible science into teaching: A bank of lesson plans and resources
Shared bank of teaching resources and lesson plans on the broad topics of open scholarship, open science, replication, and reproducibility. Pownall, M., Azevedo, F., Aldoh, A., Elsherif, M., Vasilev, M., Pennington, C. R., Robertson, O., Vel Tromp, M., Liu, M., Makel, M. C., Tonge, N. A., Moreau, D., Horry, R., Shaw, J., Tzavella, L., McGarrigle, R., Talbot, C., & Parsons, S. https://doi.org/10.1037/stl0000307
Missing Data and Multiple Imputation Decision Tree
Practical guidelines for researchers when examining their data for missingness and making decisions about how to handle that missingness. Woods, A. D., Davis-Kean, P., Halvorson, M., King, K., Logan, J., Xu, M., Bainter, S., Brown, D., Clay, J. M., Cruz, R. A., Elsherif, M. M., Gerasimova, D., Joyal-Desmarais, D., Moreau, D., Nissen, J., Schmidt, K., Uzdavines, A., Van Dusen, B., & Vasilev, M. https://psyarxiv.com/mdw5r/
SIPS 2020
Teaching and Mentoring Open Science
A mentoring statement and syllabus modules for teachers and mentors who want to teach and model open science to their students. Kim, M. H., Woods, A. D., Ellis, A., & Davis-Kean, P.
SIPS 2019
Paper: Seven Steps Toward More Transparency in Statistical Practice
Wagenmakers, E. J., Sarafoglou, A., Aarts, S. et al. (2021). Seven steps toward more transparency in statistical practice. Nature Human Behavior, 5, 1473–1480.
https://doi.org/10.1038/s41562-021-01211-8
Global Engagement Task Force Report
This report makes recommendations for improving inclusion and access for scholars from regions outside the United States, Canada, and Western Europe. Steltenpohl, C. N., Doble, L. J. M., Basnight-Brown, D., Dutra, N. B., Belaus, A., Kung, C. C., Onie, S. Seernani, D., Chen, S.-C., Burin, D., & Darda, K. M. (2021). Society for the Improvement of Psychological Science Global Engagement Task Force Report. https://psyarxiv.com/4upqd/
Nudging Open Science
A toolbox of resources and nudges for advancing open-science practices. Robson, S. G., Baum, M. A., Beaudry, J., Beitner, J., Brohmer, H., Chin, J. M., Jasko, K., Kouros, C. D., Laukkonen, R. E., Moreau D., Searston R. A., Slagter, H. A., Steffens N. K., & Tangen, J. M. https://psyarxiv.com/zn7vt/
Tenzing: Documenting contributorship with CRediT
A web application for reporting which people made which contributions to a scientific project using the Contributor Roles Taxonomy. Holcombe, A., Kovacs, M., Aust, F., & Aczel, B. https://doi.org/10.31222/osf.io/b6ywe.
A product developed out of the SIPS 2019 conference session “Replace journals’ writing-based authorship guidelines with a contributorship model.” Holcombe, A.O., Vazire, S., Chartier, C., Ebersole, C., Giner-Sorolla, R., Haroz, S., Moreau, D., Primbs, M., Ling, M., Werner, K., Schnyder, N., Adie, J., Crook, Z., Smout, C., Ribeiro, G., Tangen, J., Aczel, B., Thibault, R., Searston, R.,Van ‘t Veer, A., Schmalz, X.(2019). https://osf.io/pzyn3/
Non-Interventional, Reproducible, and Open (NIRO) Systematic Reviews
Guidelines for preparing and preregistering a systematic review protocol of non-interventional studies.
Pickering, J.S., Topor, M., Barbosa Mendes, A., Bishop, D. V. M., Büttner, F. C., Henderson, E. L., … Kothe, E.J. (2020). Non-Interventional, Reproducible, and Open (NIRO) Systematic Review Guidelines v0.1. https://osf.io/f3brw/wiki/home/
A Crowdsourced Effort to Develop a Lab Manual Template
A large hackathon group has developed a template to help researchers develop their own lab manuals. https://bit.ly/2FdVt8F
Editorial: Rule out conflicts of interest in psychology awards.
Stoevenbelt, A. H., Nuijten, M. B., Pauli, B. E., & Wicherts, J. M. (2019) Nature 572, 312. doi: 10.1038/d41586-019-02429-3
Tool: BrainPower – Resources for power analysis in neuroimaging
A hackathon group continues its work to develop tools for power analysis in neuroimaging. Read more here: https://brainpower.readthedocs.io/en/latest/index.html
Blog: A fruitful rendevous at SIPS: Neuroimagers meet study preregistration advocates
Algermissen, J., Bartlett, J., Gau, R., Heunis, S., Klapwijk, E., Mazor, M., Paul, M., Schettino, A., & Mehler, D. (2019). Blog post featuring resources for neuroimagers on preregistration, power analysis, and more.
Curation: Free, Open Datasets
Brick, C., Botzet, L., Costello, C. K., Batruch, A., Arslan, R. C., Kline, M., Sommet, N., Green, J., Nuijten, M. B., Conley, M. A., Richardson, T., Sorhagen, N., Collentine, A. O., Feldman, G., Feingold, F., Manley, H., & Mullarkey, M. C. (2019). Directory of free, open psychological datasets. https://doi.org/10.17605/OSF.IO/TH8EW
SIPS 2018
Tutorial: Secondary Data Analysis Pre-Registration
Van den Akker, O., Weston, S. J., Campbell, L., Chopik, W. J., Damian, R. I., Davis-Kean, P., Hall, A., Kosie, J. E., Kruse, E., Olsen, J., Ritchie, S. J., Valentine, K. D., van ‘t Veer, A. E., & Bakker, M. (2019, November 20). Preregistration of secondary data analysis: A template and tutorial. https://doi.org/10.31234/osf.io/hvfmr
Template: Secondary Data Analysis Pre-Registration
Weston, S. J., Mellor, D. T., Bakker, M., Van den Akker, O., Campbell, L., Ritchie, S. J., Chopik, W. J., Damian, R. I., Kosie, J., Soderberg, C. K., Ebersole, C. R., Brown, B., Davis-Kean, P., Hall, A., Kruse, E., Olsen, J., Valentine, K. D., & Nguyen, T. T. (2018). Secondary data preregistration. Retrieved from https://osf.io/x4gzt
Paper: 7 Easy Steps to Open Science: An Annotated Reading List
Crüwell, S., Van Doorn, J., Etz, A., Makel, M. C., Moshontz, H., Niebaum, J. C., Orben, A., Parsons, S., Schulte-Mecklenbeck, M. (In press). Zeitschrift für Psychologie. Preprint retrieved from https://psyarxiv.com/cfzyx.
Paper: The emerging relationship between clinical psychology and the credibility movement
Reardon, K. W., Corker, K. S., & Tackett, J. L. (In press). The emerging relationship between clinical psychology and the credibility movement. The Behavior Therapist. [Preprint at https://psyarxiv.com/46rk5]
Media training materials
How to communicate with journalists: https://osf.io/2dk6x/
Responsible communication with the public (including discussion of how to handle preprints): https://osf.io/7g8et/
Five questions to ask when reading science news
Strategies to identify research that is reliable: https://osf.io/qxv4n/
Tools & Tips to Manage Your Lab
A list of tools for researchers to use to help manage their students, projects, and writing reports: https://osf.io/r5my6/
Psych-DS
Psych-DS is an in-progress community attempt to define a standard way of formatting and documenting scientific datasets.
SIPS 2017
Psychological Science Accelerator
The Psychological Science Accelerator is a decentralized, massive, international collaboration of psychological researchers; read more here.
Open Science Video Series (2017, with COS and SPSP)
During SIPS 2017, 5 short videos were recorded that served as an introduction to major topics within the area of open science. http://spsp.org/resources/multimedia/experts/openscience
Paper: Pros and cons of replication research
Zwaan, R. A., Etz, A., Lucas, R. E., & Donnellan, M. B. (2017). Making replications mainstream. Brain and Behavioral Sciences. doi: https://doi.org/10.1017/S0140525X17001972
OA version: https://psyarxiv.com/4tg9c/
Paper: Improving peer review
Davis, W. E., Giner-Sorolla, R., Stephen Lindsay, D., Lougheed, J. P., Makel, M. C., Meier, M. E., Sun, J., Vaughn, L. A., & Zelenski, J. M. (2018). Peer-review guidelines promoting replicability and transparency in psychological science. Advances in Methods and Practices in Psychological Science, 1(4), 556–573. doi: https://doi.org/10.1177/2515245918806489
OA version: https://kar.kent.ac.uk/69135/
Paper: Increasing transparency of analysis for pre-existing data
Weston, S. J., Ritchie, S. J., Rohrer, J. M., & Przybylski, A. K. (2019). Recommendations for increasing the transparency of analysis of preexisting data sets. Advances in Methods and Practices in Psychological Science, 2(3), 214-227.
OA version: https://psyarxiv.com/zmt3q/
Taxonomy for PsyArXiv Preprints
Brown, B. T., Eerland, A., Condon, D. M., Pfeiffer, N., Hoplock, L., Columbus, S., Kline, M. E., Moshontz, H., Binion, G., Iskiwitch, C., & Forscher, P. S. (2017). Retrieved from link.
SIPS 2016
PsyArXiv
PsyArXiv is a preprint server for psychology; read more here.
StudySwap
StudySwap is community “swap board” for researchers to connect to share/trade resources, including study participants; read more here.
Paper: Constraints on generality (COG)
Simons, D. J., Shoda, Y., & Lindsay, D. S. (2017). Constraints on Generality (COG): A proposed addition to all empirical papers. Perspectives on Psychological Science, 12, 1123-1128. doi: https://doi.org/10.1177/1745691617708630 OA version: https://psyarxiv.com/w9e3r/
Paper: Experiences from the first ever SIPS meeting
Wyble, B. (2016). How to win friends and improve science: Notes from the first meeting of SIPS (the Society for the Improvement of Psychological Science). Attention, Perception, & Psychophysics, 78, 1529-1530. doi: 10.3758/s13414-016-1180-x