The time has come: Bayesian methods for data analysis in the organizational sciences
The use of Bayesian methods for data analysis is creating a revolution in fields ranging from
genetics to marketing. Yet, results of our literature review, including more than 10,000 …
genetics to marketing. Yet, results of our literature review, including more than 10,000 …
Physical activity and screen time of children and adolescents before and during the COVID-19 lockdown in Germany: a natural experiment
SCE Schmidt, B Anedda, A Burchartz, A Eichsteller… - Scientific reports, 2020 - nature.com
The impact of COVID-19 on social life has been drastic and global. However, the different
numbers of cases and different actions in different countries have been leading to various …
numbers of cases and different actions in different countries have been leading to various …
Interaction effect: Are you doing the right thing?
How to correctly interpret interaction effects has been largely discussed in scientific
literature. Nevertheless, misinterpretations are still frequently observed, and neuroscience is …
literature. Nevertheless, misinterpretations are still frequently observed, and neuroscience is …
Equivalence Tests: A Practical Primer for t Tests, Correlations, and Meta-Analyses
D Lakens - Social psychological and personality science, 2017 - journals.sagepub.com
Scientists should be able to provide support for the absence of a meaningful effect.
Currently, researchers often incorrectly conclude an effect is absent based a nonsignificant …
Currently, researchers often incorrectly conclude an effect is absent based a nonsignificant …
The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective
In the practice of data analysis, there is a conceptual distinction between hypothesis testing,
on the one hand, and estimation with quantified uncertainty on the other. Among frequentists …
on the one hand, and estimation with quantified uncertainty on the other. Among frequentists …
[KİTAP][B] Understanding the new statistics: Effect sizes, confidence intervals, and meta-analysis
G Cumming - 2013 - taylorfrancis.com
This is the first book to introduce the new statistics-effect sizes, confidence intervals, and
meta-analysis-in an accessible way. It is chock full of practical examples and tips on how to …
meta-analysis-in an accessible way. It is chock full of practical examples and tips on how to …
The new statistics: Why and how
G Cumming - Psychological science, 2014 - journals.sagepub.com
We need to make substantial changes to how we conduct research. First, in response to
heightened concern that our published research literature is incomplete and untrustworthy …
heightened concern that our published research literature is incomplete and untrustworthy …
The fallacy of placing confidence in confidence intervals
Interval estimates–estimates of parameters that include an allowance for sampling
uncertainty–have long been touted as a key component of statistical analyses. There are …
uncertainty–have long been touted as a key component of statistical analyses. There are …
Bayesian estimation supersedes the t test.
JK Kruschke - Journal of Experimental Psychology: General, 2013 - psycnet.apa.org
Bayesian estimation for 2 groups provides complete distributions of credible values for the
effect size, group means and their difference, standard deviations and their difference, and …
effect size, group means and their difference, standard deviations and their difference, and …
[HTML][HTML] Reporting effect sizes in original psychological research: A discussion and tutorial.
Statistical practice in psychological science is undergoing reform which is reflected in part by
strong recommendations for reporting and interpreting effect sizes and their confidence …
strong recommendations for reporting and interpreting effect sizes and their confidence …