A review of applications of the bayes factor in psychological research.
Sign Up to like & getrecommendations! 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… read more here.
Keywords: bayes factor; psychological research; factor psychological; review applications ... See more keywords
The Bayes factor, HDI-ROPE, and frequentist equivalence tests can all be reverse engineered-Almost exactly-From one another: Reply to Linde et al. (2021).
Sign Up to like & getrecommendations! Published in 2024 at "Psychological methods"
DOI: 10.1037/met0000507
Abstract: Following an extensive simulation study comparing the operating characteristics of three different procedures used for establishing equivalence (the frequentist "TOST," the Bayesian "HDI-ROPE," and the Bayes factor interval null procedure), Linde et al. (2021) conclude… read more here.
Keywords: hdi rope; linde 2021; equivalence; bayes factor ... See more keywords
A default Bayes factor for testing null hypotheses about the fixed effects of linear two-level models.
Sign Up to like & getrecommendations! 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… read more here.
Keywords: bayes factor; two level; linear two; fixed effects ... See more keywords
Bayes factor functions for reporting outcomes of hypothesis tests
Sign Up to like & getrecommendations! 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… read more here.
Keywords: bayes factor; outcomes hypothesis; hypothesis tests; reporting outcomes ... See more keywords
Modified intrinsic Bayes factor for multivariate regression models
Sign Up to like & getrecommendations! Published in 2024 at "Statistics"
DOI: 10.1080/02331888.2024.2423255
Abstract: The multivariate Regression model (MRM) is one of the most widely used models for multivariate statistical inference. In this paper, a closed-form and fully objective Bayes factor for comparing two MRMs is introduced. We also… read more here.
Keywords: modified intrinsic; multivariate regression; factor; intrinsic bayes ... See more keywords
The minimum Bayes factor hypothesis test for correlations and partial correlations
Sign Up to like & getrecommendations! 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… 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.
Sign Up to like & getrecommendations! 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… 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
Sign Up to like & getrecommendations! 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… read more here.
Keywords: bayes factor; test; frequentist analysis; frequentist ... See more keywords