Publications

New scientific articles that support the NHST Myth are regularly published. Find an extensive list of references here.

Amrhein V., Greenland S., McShane B. (2019) Retire statistical significance Nature, 567: 305-307

Bakker, M., & Wicherts, J. M. (2011). The (mis)reporting of statistical results in psychology journals. Behavior Research Methods, 43(3), 666-678. doi:10.3758/s13428-011-0089-5

Trafimow D., Amrhein V., Areshenkoff CN., et al. (2017) Manipulating the alpha level cannot cure significance testing – comments on “Redefine statistical significance” PeerJ Prepints 5: e3411v1 https:// dpo.org/10.7287/peerj.preprints.3411v1

Bouter, L. M. (2016). Open data are not enough to realize full transparency. Journal of Clinical Epidemiology, 70, 256-257. doi:10.1016/j.jclinepi.2015.05.032

Bouter, L. M. (2016). The research integrity expert. Times Higher Educational Supplement.

Bouter, L. M. (2016). Is science in big trouble? European Science Editing, 42(4), 86. DOI: 10.20316/ESE.2016.42.026

Greenland S., Senn S.J., Rothman K.J., Carlin J.B., Poole C., Goodman S.N., Altman D.G.. Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations. Eur J Epidemiol. 2016 Apr;31(4):337-50. doi: 10.1007/s10654-016-0149-3. Epub 2016 May 21. PubMed PMID: 27209009; PubMed Central PMCID: PMC4877414.

Groot, A. D. de (1956/2014). The meaning of “significance” for different types of research [translated and annotated by Eric-Jan Wagenmakers, Denny Borsboom, Josine Verhagen, Rogier Kievit, Marjan Bakker, Angelique Cramer, Dora Matzke, Don Mellenbergh, and Han L. J. van der Maas]. Acta Psychologica, 148, 188-194. doi:10.1016/j.actpsy.2014.02.001

Halsey L.G., Curran-Everett D., Vowler S.L., Drummond G.B. The fickle P value generates irreproducible results. Nat Methods. 2015 Mar;12(3):179-85. doi: 10.1038/nmeth.3288. PubMed PMID: 25719825.

Ioannidis, J. P. (2005). Why Most Published Research Findings Are False. PLoS Medicine, 2(8). doi:10.1371/journal.pmed.0020124

Konijn, E. A., Schoot, R. V., Winter, S. D., & Ferguson, C. J. (2015). Possible Solution to Publication Bias Through Bayesian Statistics, Including Proper Null Hypothesis Testing. Communication Methods and Measures, 9(4), 280-302. doi:10.1080/19312458.2015.1096332

Lytsy, P. (2018) P in the right place: Revisiting the evidential value of P-values Methodology 11(4):288-291 DOI: 10.1111/jebm.12319

Schneider, J.W. (2015) Null hypothesis significance tests. A mix-up of two different theories: the basis for widespread confusion and numerous misinterpretations Scientometrics 102:411–432 DOI 10.1007/s11192-014-1251-5

Schoot, R. V., Hoijtink, H., & Jan-Willem, R. (2011). Moving Beyond Traditional Null Hypothesis Testing: Evaluating Expectations Directly. Frontiers in Psychology, 2. doi:10.3389/fpsyg.2011.00024

Szucs D., Ioannidis J.P.A. When Null Hypothesis Significance Testing Is Unsuitable for Research: A Reassessment. Front Hum Neurosci. 2017 Aug 3;11:390. doi: 10.3389/fnhum.2017.00390. eCollection 2017. Review. PubMed PMID: 28824397; PubMed Central PMCID: PMC5540883.

Tijdink, J. K., Schipper, K., Bouter, L. M., Pont, P. M., Jonge, J. D., & Smulders, Y. M. (2016). How do scientists perceive the current publication culture? A qualitative focus group interview study among Dutch biomedical researchers. BMJ Open, 6(2). doi:10.1136/bmjopen-2015-008681

Trafimow, D., & Rice, S. (2009). What If Social Scientists Had Reviewed Great Scientific Works of the Past? Perspectives on Psychological Science, 4(1), 65-78. doi:10.1111/j.1745-6924.2009.01107.x

Valentine, J. C., Aloe, A. M., & Lau, T. S. (2015). Life After NHST: How to Describe Your Data Without “p-ing” Everywhere. Basic and Applied Social Psychology, 37(5), 260-273. doi:10.1080/01973533.2015.1060240

Wagenmakers, E. (2007). A practical solution to the pervasive problems of p values. Psychonomic Bulletin & Review, 14(5), 779-804. doi:10.3758/bf03194105

Wasserstein, R. L., & Lazar, N. A. (2016). The ASA’s Statement on p-Values: Context, Process, and Purpose. The American Statistician, 70(2), 129-133. doi:10.1080/00031305.2016.1154108

Wasserstein R.L., Schirm A.L., Lazar N.A. (2019) Moving to a World Beyond “p < 0.05” The American Statistician, 73:sup1, 1-19