oa Een significant probleem

References

1. Cohen, J.(1994). The earth is round (p < .05). American Psychologist, 49, 997-1003.
   [Google Scholar]
2. Cumming, G. & Calin-Jageman, R.(2017). Introduction to the New Statistics. Estimation, Open Science, & Beyond. New York/Londen: Routledge.
   [Google Scholar]
3. Gigerenzer, G., & Marewski, J.(2015). Surrogate science: The idol of a universal method for scientific inference. Journal of Management, 41, 421-440.
   [Google Scholar]
4. Goodman, S.(2008). A dirty dozen: Twelve p-value misconceptions. Seminars in Hematology, 45, 135-140.
   [Google Scholar]
5. Haller, H., & Krauss, S.(2002). Misinterpretations of Significance. A problem students share with their teachers?Methods of Psychological Research Online, 7(1). Zie https://www.metheval.uni-jena.de/lehre/0405-ws/evaluationuebung/haller.pdf
   [Google Scholar]
6. Hubbard, R., & Bayarri, M.J.(2003). Confusion over measures of evidence (p’s) versus errors (α’s) in classical statistical testing (with comments). The American Statistician, 57, 171-182.
   [Google Scholar]
7. Kline, R. B.(2013). Beyond Significance Testing. Statistics Reform in the Behavioral Sciences. Washington, DC: American Psychological Association.
   [Google Scholar]
8. Kruschke, J.K.(2015). Doing Bayesian Data Analysis. A Tutorial with R, Jags, and Stan. (2nd ed.). London: Academic Press.
   [Google Scholar]
9. Lambdin, C.(2012). Significance tests as sorcery: Science is empirical – significance tests are not. Theory & Psychology, 22, 67-90.
   [Google Scholar]
10. Mulder. G.(2008). Understanding Causal Coherence Relations. Utrecht: LOT. Zie https://www.lotpublications.nl/Documents/172_fulltext.pdf
    [Google Scholar]
11. Mulder, G.(2016). De kwaliteit van onderzoek. Dichotoom denken versus meta-analytisch denken. Tijdschrift voor Taalbeheersing, 38(2), 163-173.
    [Google Scholar]
12. Oakes, M.(1986). Statistical Significance. New York, NY: Wiley.
    [Google Scholar]
13. Zilliak, S., & McCloskey, D.N.(2008). The cult of statistical significance: How the standard error costs us jobs, justice, and lives. Ann Arbor: University of Michigan Press.
    [Google Scholar]