Abstract [Correction Notice: An Erratum for this article was reported in Vol 41 (2) of Journal of
Theoretical and Philosophical Psychology (see record 2021-51056-003). In the article, the …

The emergence of large-scale replication projects yielding successful rates substantially
lower than expected caused the behavioural, cognitive, and social sciences to experience a …

Here, we summarise the unresolved debate about p value and its dichotomisation. We
present the statement of the American Statistical Association against the misuse of statistical …

Statistical inference often fails to replicate. One reason is that many results may be selected
for drawing inference because some threshold of a statistic like the P-value was crossed …

The new edition of An Introduction to Statistical Concepts is designed to help students really
understand statistical concepts, the situations in which they can be used, and how to apply …

Purpose Bayesian multilevel models are increasingly used to overcome the limitations of
frequentist approaches in the analysis of complex structured data. This tutorial introduces …

The main objective of the present work is to estimate the load-carrying capacity of concrete-
filled steel tubes (CFST) under axial compression using hybrid artificial intelligence (AI) …

A paradigm shift away from null hypothesis significance testing seems in progress. Based on
simulations, we illustrate some of the underlying motivations. First, p‐values vary strongly …

Besides the inferential errors that abound in the interpretation of p-values, the probabilistic
pre-conditions (ie random sampling or equivalent) for using them at all are not often met by …

The standard statistical procedure for researchers comprises a two-step process. Before
data collection, researchers perform power analyses, and after data collection, they perform …