Misinterpretations of significance: A problem students share with their teachers?

By Heiko Haller, S. Krauss. 2002

297 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/ffbe3116a37aa35f26d85084910281f8d1604ea9

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Citations in the corpus

The philosophy of Bayes’ factors and the quantification of statistical evidence (2016, unknown): “First, researchers believe, falsely, that currently popular methods serve their purposes (Gigerenzer, Krauss, & Vitouch, 2004; Haller & Krauss, 2002; Hoekstra, Morey, Rouder, & Wagenmakers, 2014; Oakes, 1986).”
Statistical Significance and the Dichotomization of Evidence (2017, background): “For example, Gigerenzer (2004) reported an example of research conducted on psychology professors, lecturers, teaching assistants, and students (see also Haller and Krauss (2002), Oakes (1986), and Gigerenzer, Krauss, and Vitouch (2004)).”
The Mediation Myth (2015, background): “For example, about 80%–90% of psychology professors endorse multiple false beliefs about statistical significance, no better than psychology undergraduate students in introductory statistics courses (Haller & Krauss, 2002).”
Surrogate Science (2015, background): “At that time, the null ritual was already institutionalized, and delusions about the p value were in place, including the belief that the p value specifies the Bayesian posterior probability that the alternative hypothesis is correct— p ( D | H ) as surrogate for p ( H | D ) (Haller & Krauss, 2002).”
Statistical Rituals: The Replication Delusion and How We Got There (2018, background): “For the German study, Haller and Krauss (2002) also reported the average number of delusions in each group: 1.9 among statistics teachers, 2.0 among other academic psychologists, and 2.5 among psychology students.”
Abandon Statistical Significance (2017, background): “For related results, see Oakes (1986), Cohen (1994), Haller and Krauss (2002), and Gigerenzer (2018).”
Bayesian hypothesis testing for psychologists: a tutorial on the Savage-Dickey method. (2010, unknown): “All of these conclusions are false (Haller & Krauss, 2002)—this is because the conclusions are Bayesian, but the methodology that is used is not.”
Fair Statistical Communication in HCI (2016, background): “Yet it is common for researchers, teachers and even textbooks to think of p as the probability of the null hypothesis being true (or equivalently, of the results being due to chance), an error called the “fallacy of the transposed conditional” (Haller and Krauss, 2002; Cohen, 1994, p.999).”
The null ritual : What you always wanted to know about significance testing but were afraid to ask (2004, background): “To get a quasi-representative sample, we drew the participants from six German universities (Haller & Krauss, 2002).”
STATISTICAL COGNITION: TOWARDS EVIDENCE-BASED PRACTICE IN STATISTICS AND STATISTICS EDUCATION (2008, background): “(Eddy, 1982; Haller & Krauss, 2002; Oakes, 1986).”
Rationality for Mortals: How People Cope with Uncertainty (2008, background): “On average, students endorsed 2.5 illusions; their professors and lecturers, 2.0 illusions; and those who taught signifi cance testing, 1.9 illusions (Gigerenzer, Krauss, & Vitouch, 2004; Haller & Krauss, 2002).”