A review of applications of the bayes factor in psychological research.
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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… read more here.
Keywords: bayes factor; psychological research; factor psychological; review applications ... See more keywords
A default Bayes factor for testing null hypotheses about the fixed effects of linear two-level models.
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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… read more here.
Keywords: bayes factor; two level; linear two; fixed effects ... See more keywords
Bayes factor functions for reporting outcomes of hypothesis tests
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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… read more here.
Keywords: bayes factor; outcomes hypothesis; hypothesis tests; reporting outcomes ... See more keywords
The minimum Bayes factor hypothesis test for correlations and partial correlations
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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… read more here.
Keywords: sample size; minimum bayes; bayes factor; test ... See more keywords
Sequential Bayes Factor designs in developmental research: Studies on early word learning.
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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… read more here.
Keywords: research; word; sequential bayes; developmental research ... See more keywords
Statistical Significance Testing for Mixed Priors: A Combined Bayesian and Frequentist Analysis
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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… read more here.
Keywords: bayes factor; test; frequentist analysis; frequentist ... See more keywords