Sample size justification
D Lakens - Collabra: psychology, 2022 - online.ucpress.edu
An important step when designing an empirical study is to justify the sample size that will be
collected. The key aim of a sample size justification for such studies is to explain how the …
collected. The key aim of a sample size justification for such studies is to explain how the …
[HTML][HTML] Replicability, robustness, and reproducibility in psychological science
Replication—an important, uncommon, and misunderstood practice—is gaining
appreciation in psychology. Achieving replicability is important for making research …
appreciation in psychology. Achieving replicability is important for making research …
[HTML][HTML] Addressing context dependence in ecology
Context dependence is widely invoked to explain disparate results in ecology. It arises when
the magnitude or sign of a relationship varies due to the conditions under which it is …
the magnitude or sign of a relationship varies due to the conditions under which it is …
The generalizability crisis
T Yarkoni - Behavioral and Brain Sciences, 2022 - cambridge.org
Most theories and hypotheses in psychology are verbal in nature, yet their evaluation
overwhelmingly relies on inferential statistical procedures. The validity of the move from …
overwhelmingly relies on inferential statistical procedures. The validity of the move from …
[HTML][HTML] How many participants do we have to include in properly powered experiments? A tutorial of power analysis with reference tables
M Brysbaert - Journal of cognition, 2019 - ncbi.nlm.nih.gov
Given that an effect size of d=. 4 is a good first estimate of the smallest effect size of interest
in psychological research, we already need over 50 participants for a simple comparison of …
in psychological research, we already need over 50 participants for a simple comparison of …
[HTML][HTML] Statistical significance: p value, 0.05 threshold, and applications to radiomics—reasons for a conservative approach
G Di Leo, F Sardanelli - European radiology experimental, 2020 - Springer
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 …
present the statement of the American Statistical Association against the misuse of statistical …
[HTML][HTML] Control of confounding and reporting of results in causal inference studies. Guidance for authors from editors of respiratory, sleep, and critical care journals
The views and recommendations made in this document do not represent the official
position of any publisher or professional medical society. This document has not been …
position of any publisher or professional medical society. This document has not been …
Equivalence testing for psychological research: A tutorial
Psychologists must be able to test both for the presence of an effect and for the absence of
an effect. In addition to testing against zero, researchers can use the two one-sided tests …
an effect. In addition to testing against zero, researchers can use the two one-sided tests …
[HTML][HTML] Sample size evolution in neuroimaging research: An evaluation of highly-cited studies (1990–2012) and of latest practices (2017–2018) in high-impact …
D Szucs, JPA Ioannidis - NeuroImage, 2020 - Elsevier
We evaluated 1038 of the most cited structural and functional (fMRI) magnetic resonance
brain imaging papers (1161 studies) published during 1990–2012 and 270 papers (300 …
brain imaging papers (1161 studies) published during 1990–2012 and 270 papers (300 …
Abandon statistical significance
We discuss problems the null hypothesis significance testing (NHST) paradigm poses for
replication and more broadly in the biomedical and social sciences as well as how these …
replication and more broadly in the biomedical and social sciences as well as how these …