The correct adjustment of α-levels is a logical prerequisite for valid inferences and conclusions (that is, in the NHST framework). However, if stringent (appropriate) α-control techniques would be applied, many experiments would not reach statistical significance at the conventional α …
Category Archives: Hypothesis testing
Preregistration of studies: A methodological stratagem to counter academic fraud
Preregistration is the practice of publishing the methodology of experiments before they begin. This strategy reduces problems stemming from publication bias and selective reporting of results. See for example:
- https://aspredicted.org/
- https://cos.io/prereg/
- https://www.psychologicalscience.org/publications/replication
A exemplary list of currently preregistered studies can …
The vertical representation of affect: Mood effects in visual search
The effects of ego-depletion on belief-bias
Structural Equation Modeling (SEM)
NHST: Type 1 error (α) inflation
Definition of Type I error:
Probability of rejecting null hypothesis when it is TRUE.
Definition of Type II error:
Probability of not rejecting null hypothesis when it is False.
Imagine tests on 1000 hypotheses 100 of which are …
NHST: P-hacking
Source URL: https://shinyapps.org/apps/p-hacker/
Source URL: https://shinyapps.org/apps/metaExplorer/#tab-2218-2
Source URL: https://www.shinyapps.org/apps/vs-mpr/
NHST: Irrational orthodoxy vs. Bayesian statistics
The majority of professors who lecture statistics are unable to interpret a simple t-test correctly as the following empirical data illustrates (adapted from Haller & Krauss, 2002).
Figure 1. Fallacious statistical reasoning in the interpretation of an independent samples …