Disciplinary Examples

Vijayakumar, R., & Cheung, M. W.-L. (2019). Assessing Replicability of Machine Learning Results: An Introduction to Methods on Predictive Accuracy in Social Sciences. Social Science Computer Review, 089443931988844. https://doi.org/10.1177/0894439319888445
Bryan, C. J., Yeager, D. S., & O’Brien, J. M. (2019). Replicator degrees of freedom allow publication of misleading failures to replicate. Proceedings of the National Academy of Sciences, 201910951. https://doi.org/10.1073/pnas.1910951116
Gabrieli, G., Scapin, G., Bornstein, M. H., & Esposito, G. (2019). Are Cry Studies Replicable? An Analysis of Participants, Setups, and Methods Adopted and Reported in Cry Studies. https://doi.org/10.20944/preprints201911.0176.v1
Isaacowitz, D. M. (2019). OPEN SCIENCE IN GERONTOLOGY: IMPLICATIONS FOR PUBLISHING. Innovation in Aging, 3(Supplement_1), S399–S400. https://doi.org/10.1093/geroni/igz038.1480
Damian, E., Meuleman, B., & van Oorschot, W. (2019). Transparency and Replication in Cross-national Survey Research: Identification of Problems and Possible Solutions. Sociological Methods & Research, 004912411988245. https://doi.org/10.1177/0049124119882452
Jamieson, K. H., McNutt, M., Kiermer, V., & Sever, R. (2019). Signaling the trustworthiness of science. Proceedings of the National Academy of Sciences, 116(39), 19231–19236. https://doi.org/10.1073/pnas.1913039116
Feng, X., Park, D. S., Walker, C., Peterson, A. T., Merow, C., & Papeş, M. (2019). A checklist for maximizing reproducibility of ecological niche models. Nature Ecology & Evolution. https://doi.org/10.1038/s41559-019-0972-5
Unger, J. M. (2019). Reproducible Findings in Systematic Reviews and Meta-analyses in Oncology: Verify, Then Trust. JAMA Oncology. https://doi.org/10.1001/jamaoncol.2019.2664
Gennetian, L. A., Tamis-LeMonda, C. S., & Frank, M. C. (2019). Advancing Transparency and Openness in Child Development Research: Opportunities (preprint). PsyArXiv. https://doi.org/10.31234/osf.io/wbv2d
Roettger, T. B. (2019). Preregistration in linguistic research: Applications, challenges, and limitations (preprint). PsyArXiv. https://doi.org/10.31234/osf.io/vc9hu
Kedron, P., Frazier, A. E., Trgovac, A. B., Nelson, T., & Fotheringham, A. S. (2019). Reproducibility and Replicability in Geographical Analysis. Geographical Analysis, gean.12221. https://doi.org/10.1111/gean.12221
Ziółkowski, A. (2019). The Stability of Philosophical Intuitions: Failed Replications of Swain et al. (2008). Episteme, 1–19. https://doi.org/10.1017/epi.2019.20
Crüwell, S., Stefan, A. M., & Evans, N. J. (2019). Robust Standards in Cognitive Science. Computational Brain & Behavior. https://doi.org/10.1007/s42113-019-00049-8
Grahe, J. E., Cuccolo, K., Leighton, D. C., & Cramblet Alvarez, L. D. (2019). Open Science Promotes Diverse, Just, and Sustainable Research and Educational Outcomes. Psychology Learning & Teaching, 147572571986916. https://doi.org/10.1177/1475725719869164
Hao, Q., Smith IV, D. H., Iriumi, N., Tsikerdekis, M., & Ko, A. J. (2019). A Systematic Investigation of Replications in Computing Education Research. ACM Transactions on Computing Education, 19(4), 1–18. https://doi.org/10.1145/3345328
Smith, C. A., Nolan, J., Tritz, D. J., Heavener, T. E., Pelton, J., Cook, K., & Vassar, M. (2019). Evaluation of Reproducible and Transparent Research Practices in Pulmonology Publications (preprint). Scientific Communication and Education. https://doi.org/10.1101/726505
Isaacowitz, D. M., & Lind, M. (2019). Open Science is for Aging Research, Too. Innovation in Aging, 3(4), igz028. https://doi.org/10.1093/geroni/igz028
Fladie, I. A., Evans, S., Checketts, J., Tritz, D., Norris, B., & Vassar, M. (2019). Can Orthopaedics become the Gold Standard for Reproducibility? A Roadmap to Success (preprint). Scientific Communication and Education. https://doi.org/10.1101/715144
Rios, J. A., Ihlenfeldt, S. D., Dosedel, M., & Riegelman, A. (2019). A Topical and Methodological Systematic Review of Meta‐Analyses Published in the Educational Measurement Literature. Educational Measurement: Issues and Practice, emip.12282. https://doi.org/10.1111/emip.12282
Anderson, J. M., Wright, B., Tritz, D., Horn, J., Parker, I., Bergeron, D., … Vassar, M. (2019). Evaluation of Indicators of Reproducibility and Transparency in Published Cardiology Literature (preprint). Cardiovascular Medicine. https://doi.org/10.1101/19002121
Bishop, D. V. M. (2019). The psychology of experimental psychologists: Overcoming cognitive constraints to improve research (preprint). PsyArXiv. https://doi.org/10.31234/osf.io/hnbex
Chin, J. M., Ribeiro, G., & Rairden, A. (2019). Open forensic science. Journal of Law and the Biosciences, lsz009. https://doi.org/10.1093/jlb/lsz009
Sarafoglou, A., Hoogeveen, S., Matzke, D., & Wagenmakers, E.-J. (2019). Teaching Good Research Practices: Protocol of a Research Master Course. Psychology Learning & Teaching, 147572571985880. https://doi.org/10.1177/1475725719858807
Davis-Kean, P., & Ellis, A. (2019). An Overview of Issues in Infant and Developmental Research for the creation of Robust and Replicable Science (preprint). PsyArXiv. https://doi.org/10.31234/osf.io/m4576
Branney, P., Reid, K., Frost, N., Coan, S., Mathieson, A., & Woolhouse, M. (2019). A context-consent meta-framework for designing open (qualitative) data studies. Qualitative Research in Psychology, 16(3), 483–502. https://doi.org/10.1080/14780887.2019.1605477
Ascha, M., Ascha, M. S., & Gatherwright, J. (2019). The Importance of Reproducibility in Plastic Surgery Research. Plastic and Reconstructive Surgery, 144(1), 242–248. https://doi.org/10.1097/PRS.0000000000005784
Button, K. S., Chambers, C. D., Lawrence, N., & Munafò, M. R. (2019). Grassroots Training for Reproducible Science: A Consortium-Based Approach to the Empirical Dissertation. Psychology Learning & Teaching, 147572571985765. https://doi.org/10.1177/1475725719857659
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, 251524591984868. https://doi.org/10.1177/2515245919848684
Epskamp, S. (2019). Reproducibility and Replicability in a Fast-Paced Methodological World. Advances in Methods and Practices in Psychological Science, 251524591984742. https://doi.org/10.1177/2515245919847421
Ozier, O. (2019). Replication Redux : The Reproducibility Crisis and the Case of Deworming (No. WPS8835) (pp. 1–43). The World Bank. Retrieved from http://documents.worldbank.org/curated/en/118271556632669793/Replication-Redux-The-Reproducibility-Crisis-and-the-Case-of-Deworming
Hardwicke, T. E., Wallach, J., Kidwell, M., & Ioannidis, john. (2019). An empirical assessment of transparency and reproducibility-related research practices in the social sciences (2014-2017) (preprint). MetaArXiv. https://doi.org/10.31222/osf.io/6uhg5
Schnack, H. (2019). Assessing reproducibility in association studies. ELife, 8, e46757. https://doi.org/10.7554/eLife.46757
Pouchard, L., Baldwin, S., Elsethagen, T., Jha, S., Raju, B., Stephan, E., … Van Dam, K. K. (2019). Computational reproducibility of scientific workflows at extreme scales. The International Journal of High Performance Computing Applications, 109434201983912. https://doi.org/10.1177/1094342019839124
Aguinis, H., & Solarino, A. M. (2019). Transparency and replicability in qualitative research: The case of interviews with elite informants. Strategic Management Journal, smj.3015. https://doi.org/10.1002/smj.3015
Penders, B., Holbrook, J. B., & de Rijcke, S. (2019). Rinse and repeat: the situated value of replication across epistemic cultures (preprint). SocArXiv. https://doi.org/10.31235/osf.io/nfjb6
L. Haven, T., & Van Grootel, D. L. (2019). Preregistering qualitative research. Accountability in Research, 1–16. https://doi.org/10.1080/08989621.2019.1580147
Govoni, M., Munakami, M., Tanikanti, A., Skone, J. H., Runesha, H. B., Giberti, F., … Galli, G. (2019). Qresp, a tool for curating, discovering and exploring reproducible scientific papers. Scientific Data, 6, 190002. https://doi.org/10.1038/sdata.2019.2
Bartell, S. M. (2019). Understanding and Mitigating the Replication Crisis, for Environmental Epidemiologists. Current Environmental Health Reports. https://doi.org/10.1007/s40572-019-0225-4
Stupple, A., Singerman, D., & Celi, L. A. (2019). The reproducibility crisis in the age of digital medicine. Npj Digital Medicine, 2(1). https://doi.org/10.1038/s41746-019-0079-z
Frank, M. C. (2019). Towards a more robust and replicable science of infant development. Infant Behavior and Development, 57, 101349. https://doi.org/10.1016/j.infbeh.2019.101349
Nosek, B. A., Beck, E. D., Campbell, L., Flake, J. K., Hardwicke, T. E., Mellor, D. T., … Vazire, S. (2019). Preregistration Is Hard, And Worthwhile. Trends in Cognitive Sciences, 23(10), 815–818. https://doi.org/10.1016/j.tics.2019.07.009
Eren, M. I., Bebber, M. R., Norris, J. D., Perrone, A., Rutkoski, A., Wilson, M., & Raghanti, M. A. (2019). Experimental replication shows knives manufactured from frozen human feces do not work. Journal of Archaeological Science: Reports, 27, 102002. https://doi.org/10.1016/j.jasrep.2019.102002
Chambers, C. (2019). What’s next for Registered Reports? Nature, 573(7773), 187–189. https://doi.org/10.1038/d41586-019-02674-6
Knudtson, K. L., Carnahan, R. H., Hegstad-Davies, R. L., Fisher, N. C., Hicks, B., Lopez, P. A., … Sol-Church, K. (2019). Survey on Scientific Shared Resource Rigor and Reproducibility. Journal of Biomolecular Techniques : JBT, jbt.19-3003-001. https://doi.org/10.7171/jbt.19-3003-001
Draeger, E., Sawant, A., Johnstone, C., Koger, B., Becker, S., Vujaskovic, Z., … Poirier, Y. (2019). A Dose of Reality: How 20 years of incomplete physics and dosimetry reporting in radiobiology studies may have contributed to the reproducibility crisis. International Journal of Radiation Oncology*Biology*Physics, S0360301619334455. https://doi.org/10.1016/j.ijrobp.2019.06.2545
Niepel, M., Hafner, M., Mills, C. E., Subramanian, K., Williams, E. H., Chung, M., … Medvedovic, M. (2019). A Multi-center Study on the Reproducibility of Drug-Response Assays in Mammalian Cell Lines. Cell Systems, 9(1), 35-48.e5. https://doi.org/10.1016/j.cels.2019.06.005
Elliott, K. C., & Resnik, D. B. (2019). Making Open Science Work for Science and Society. Environmental Health Perspectives, 127(7), 075002. https://doi.org/10.1289/EHP4808
Uhlmann, E. L., Ebersole, C. R., Chartier, C. R., Errington, T. M., Kidwell, M. C., Lai, C. K., … Nosek, B. A. (2019). Scientific Utopia III: Crowdsourcing Science. Perspectives on Psychological Science, 174569161985056. https://doi.org/10.1177/1745691619850561
Flis, I. (2019). Psychologists psychologizing scientific psychology: An epistemological reading of the replication crisis. Theory & Psychology, 29(2), 158–181. https://doi.org/10.1177/0959354319835322
Wuttke, A. (2019). Why Too Many Political Science Findings Cannot Be Trusted and What We Can Do About It: A Review of Meta-Scientific Research and a Call for Academic Reform. Politische Vierteljahresschrift, 60(1), 1–19. https://doi.org/10.1007/s11615-018-0131-7