Journal Articles
Permanent URI for this collectionhttps://mro.massey.ac.nz/handle/10179/7915
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Item P-values as percentiles. Commentary on: "Null hypothesis significance tests. A mix-up of two different theories: the basis for widespread confusion and numerous misinterpretations".(FRONTIERS RESEARCH FOUNDATION, 2015) Perezgonzalez JDItem Commentary: The Need for Bayesian Hypothesis Testing in Psychological Science.(2017) Perezgonzalez JDItem Fisher, Neyman-Pearson or NHST? A tutorial for teaching data testing.(FRONTIERS RESEARCH FOUNDATION, 2015) Perezgonzalez JDDespite frequent calls for the overhaul of null hypothesis significance testing (NHST), this controversial procedure remains ubiquitous in behavioral, social and biomedical teaching and research. Little change seems possible once the procedure becomes well ingrained in the minds and current practice of researchers; thus, the optimal opportunity for such change is at the time the procedure is taught, be this at undergraduate or at postgraduate levels. This paper presents a tutorial for the teaching of data testing procedures, often referred to as hypothesis testing theories. The first procedure introduced is Fisher's approach to data testing-tests of significance; the second is Neyman-Pearson's approach-tests of acceptance; the final procedure is the incongruent combination of the previous two theories into the current approach-NSHT. For those researchers sticking with the latter, two compromise solutions on how to improve NHST conclude the tutorial.Item Confidence intervals and tests are two sides of the same research question.(FRONTIERS RESEARCH FOUNDATION, 2015) Perezgonzalez JDItem The meaning of significance in data testing.(FRONTIERS MEDIA SA, 2015) Perezgonzalez JDItem Commentary: How Bayes factors change scientific practice(Frontiers Media, 30/09/2016) Perezgonzalez JDDienes's (2016) article is one of the contributions to the special issue “Bayes factors for testing hypotheses in psychological research…” being published by the Journal of Mathematical Psychology. One concern I have with Dienes's article is its “one-size-fits-all” philosophy. A second concern is the reification of Bayes factors as the solution to the credibility crisis. I find it naive that a single approach is still proposed as the one and only tool for testing data. I also find it naive to assume that Bayes factors, with no clear replicability mechanism attached to them, are the ones to resolve the credibility crisis in psychology.Item Commentary: Continuously cumulating meta-analysis and replicability.(FRONTIERS RESEARCH FOUNDATION, 2015) Perezgonzalez JD