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Published in 2022 at "Psychological methods"
DOI: 10.1037/met0000454
Abstract: The last 25 years have shown a steady increase in attention for the Bayes factor as a tool for hypothesis evaluation and model selection. The present review highlights the potential of the Bayes factor in…
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Keywords:
bayes factor;
psychological research;
factor psychological;
review applications ... See more keywords
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3
Published in 2023 at "Psychological methods"
DOI: 10.1037/met0000573
Abstract: Testing null hypotheses of the form "β = 0," by the use of various Null Hypothesis Significance Tests (rendering a dichotomous reject/not reject decision), is considered standard practice when evaluating the individual parameters of statistical…
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Keywords:
bayes factor;
two level;
linear two;
fixed effects ... See more keywords
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1
Published in 2022 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2217331120
Abstract: Significance Bayes factors represent an informative alternative to P-values for reporting outcomes of hypothesis tests. They provide direct measures of the relative support that data provide to competing hypotheses and are able to quantify support…
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Keywords:
bayes factor;
outcomes hypothesis;
hypothesis tests;
reporting outcomes ... See more keywords
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0
Published in 2019 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2019.1667397
Abstract: Abstract In this paper, we follow the work [Held, L., and M. Ott. 2016. How the maximal evidence of p-values against point null hypotheses depends on sample size. The American Statistician 70 (4):335–41] and propose…
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Keywords:
sample size;
minimum bayes;
bayes factor;
test ... See more keywords
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1
Published in 2021 at "Developmental science"
DOI: 10.1111/desc.13097
Abstract: Developmental research, like many fields, is plagued by low sample sizes and inconclusive findings. The problem is amplified by the difficulties associated with recruiting infant participants for research as well as the increased variability in…
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Keywords:
research;
word;
sequential bayes;
developmental research ... See more keywords
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1
Published in 2022 at "Entropy"
DOI: 10.3390/e24101328
Abstract: In many hypothesis testing applications, we have mixed priors, with well-motivated informative priors for some parameters but not for others. The Bayesian methodology uses the Bayes factor and is helpful for the informative priors, as…
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Keywords:
bayes factor;
test;
frequentist analysis;
frequentist ... See more keywords