SECOND-GENERATION P-VALUES: A NEW PRACTICAL APPROACH FOR EDUCATIONAL RESEARCH
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Armstrong, J.S. and Hubbard, R. (2008). Why we don’t really know what “statistical significance” means: A major educational failure, SSRN Electronic Journal [Preprint]. doi:10.2139/ssrn.1154386.
Blume, J.D., Greevy, R.A., Welty, V.F., Smith, J.R. and Dupont, W.D. (2019). An Introduction to Second-Generation p-Values. The American Statistician, 73(sup1), pp.157–167. doi: https://doi.org/10.1080/00031305.2018.1537893.
Blume, J.D, D’Agostino McGowan, L, Dupont, W.D, Greevy, R.A., (2018) Second- generation p-values: Improved rigor, reproducibility, & transparency in statistical analyses. PLoS ONE 13(3): e0188299. https://doi.org/10.1371/journal.pone.0188299.
Bormann, S.-K. (2022). ‘A Stata implementation of second-generation P-values’, The Stata Journal: Promoting communications on statistics and Stata, 22(3), pp. 496–520. doi:10.1177/1536867x221124466.
Campbell, H. and Gustafson, P. (2019). ‘The World of Research Has Gone Berserk: Modeling the Consequences of Requiring “Greater Statistical Stringency” for Scientific Publication’, The American Statistician, 73(sup1), pp. 358–373. doi: 10.1080/00031305.2018.1555101.
Cohen, M.P. (2021). ‘Why not an interval null hypothesis?’, Journal of Data Science, 17(2), pp. 383–390. doi:10.6339/jds.201904_17(2).0008.
Colquhoun, D. (2017). The reproducibility of research and the misinterpretation of p -values. Royal Society Open Science, 4(12), p.171085. doi: https://doi.org/10.1098/rsos.171085.
Das D, Das T. (2023). The “P”‑value: The primary alphabet of research revisited. International Journal Preventive Medicine, 14(41).
Diaz-Quijano, F.A., Calixto, F.M. and Da Silva, J.M.N. (2020). 'How feasible is it to abandon statistical significance? A reflection based on a short survey,' BMC Medical Research Methodology, 20(1). https://doi.org/10.1186/s12874-020-01030-x.
Di Leo, G. and Sardanelli, F. (2020). Statistical significance: p value, 0.05 threshold, and applications to radiomics—reasons for a conservative approach. European Radiology Experimental, [online] 4(1). doi: https://doi.org/10.1186/s41747-020-0145-y.
Edgeworth, F.Y. (1885). Methods of Statistics, Jubilee volume of the Statist. Soc., E.
Gao, J. (2020). P-values – a chronic conundrum. BMC Medical Research Methodology, 20(1). doi: https://doi.org/10.1186/s12874-020-01051-6.
Goodman, S. (2008). A Dirty Dozen: Twelve P-Value Misconceptions. Seminars in Hematology, 45(3), pp.135–140. doi: https://doi.org/10.1053/j.seminhematol.2008.04.003.
Greenland, S., Senn, S. J., Rothman, K. J., Carlin, J. B., Poole, C., Goodman, S. N., & Altman, D. G. (2016). Statistical test, p value, confidence intervals, and power: a guide to misinterpretations. European Journal of Epidemiology, 31(4), 337-350. DOI: 10.1007/s10654-016-0149-3.
Hurlbert, S. H., Levine, R. A. and Utts, J. (2019). Coup de Grâce for a Tough Old Bull: “Statistically Significant” Expires’, The American Statistician, 73(sup1), pp. 352–357. doi: 10.1080/00031305.2018.1543616.
Kmetz, J. L. (2019). Correcting Corrupt Research: Recommendations for the Profession to Stop Misuse of p-Values. The American Statistician, 73(sup1), 36–45. https://doi.org/10.1080/00031305.2018.1518271.
Lin, M., Lucas, H.C. and Shmueli, G. (2013). ‘research commentary—too big to fail: Large samples and the p-value problem’, Information Systems Research, 24(4), pp. 906–917. doi:10.1287/isre.2013.0480.
McShane, B.B., Gal, D., Gelman, A., Robert, C. and Tackett, J.L. (2019). Abandon Statistical Significance. The American Statistician, [online] 73(sup1), pp.235–245. doi: https://doi.org/10.1080/00031305.2018.1527253.
Package ‘SGPV’. (2022). Available at: https://cran.r-project.org/web/packages/sgpv/sgpv.pdf [Accessed 2 May 2024].
Pericchi, L., Pereira, C., and Perez, M. (2014). Adaptive revised standards for statistical evidence. Proceedings of the National Academy of Sciences of the United States of America. 111. 10.1073/pnas.1322191111.
Robert,D.(2020, June26).Demystifying the p-value. The Startup. https://www.tandfonline.com/doi/full/10.1080/00031305.2019.1583913.
Stahel, W.A., (2021). New relevance and significance measures to replace p-values. PLoS ONE 16(6): e0252991. https://doi.org/10.1371/journal.pone.0252991.
Stewart, T.G. and Blume, J.D. (2019). Second-Generation P-Values, Shrinkage, and Regularized Models. Frontiers in Ecology and Evolution, 7. doi: https://doi.org/10.3389/fevo.2019.00486.
Vidgen, B. and Yasseri, T. (2016). ‘P-values: Misunderstood and misused’, Frontiers in Physics, 4. doi:10.3389/fphy.2016.00006.
Wasserstein, R.L., Schirm, A. L. and Lazar, N. A. (2019). ‘Moving to a World Beyond “p < 0.05”’, The American Statistician, 73(sup1), pp. 1–19. doi: 10.1080/00031305.2019.1583913.
Wasserstein, R.L. and Lazar, N.A. (2016). The ASA Statement on p-Values: Context, Process, and Purpose. The American Statistician, [online] 70(2), pp.129–133. doi: https://doi.org/10.1080/00031305.2016.1154108 .
Zuo, Y., Stewart, T. G., & Blume, J. D. (2022). ProSGPV: An R package for variable selection with second-generation P-values. F1000Research, 11, 58. https://doi.org/10.12688/f1000research.74401.1.
DOI: http://dx.doi.org/10.46827/ejes.v11i12.5712
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