Researchers in the behavioral and social sciences often have one informative hypothesis with respect to the state of affairs in the population from which they sampled their data. The question they would like an answer to is “Is the Hypothesis Correct” or “Is it Not.” Classical statistics has not yet provided an approach with which this question can be answered. In this paper it will be shown that there is a Bayesian approach that does provide an answer to this question. Using two ANOVA examples the context of this paper will be sketched. Subsequently it will be shown how the Bayes factor can be used to quantify the support in the data for an informative hypothesis (“It is”) and its complement (“It is not”). Subsequently, the performance of ...
Bayes factors quantify the evidence in support of the null (absence of an effect) or the alternative...
Analyses are mostly executed at the population level, whereas in many applications the interest is o...
In this report a Bayesian solution to the problem of testing the equality of the means of k independ...
Researchers in the behavioral and social sciences often have one informative hypothesis with respect...
Researchers in the behavioral and social sciences often have one informative hypothesis with respect...
With the increased use of Bayesian informative hypothesis testing, practical, philosophical and meth...
The evaluation of informative hypotheses has gained in popularity in applied sciences, because it en...
Learning about hypothesis evaluation using the Bayes factor could enhance psychological research. In...
While the Bayesian parameter estimation has gained a wider acknowledgement among political scientist...
Item does not contain fulltextAnalysis of variance (ANOVA) is the standard procedure for statistical...
Analysis of variance (ANOVA) is a standard method for describing and estimating heterogeneity among ...
This dissertation discusses sample size determination to obtain the desired Bayes factor if the rese...
Researchers often have hypotheses concerning the state of affairs in the population from which they ...
Researchers can express their expectations with respect to the group means in an ANOVA model through...
Analysis of variance (ANOVA) is the standard procedure for statistical inference in factorial design...
Bayes factors quantify the evidence in support of the null (absence of an effect) or the alternative...
Analyses are mostly executed at the population level, whereas in many applications the interest is o...
In this report a Bayesian solution to the problem of testing the equality of the means of k independ...
Researchers in the behavioral and social sciences often have one informative hypothesis with respect...
Researchers in the behavioral and social sciences often have one informative hypothesis with respect...
With the increased use of Bayesian informative hypothesis testing, practical, philosophical and meth...
The evaluation of informative hypotheses has gained in popularity in applied sciences, because it en...
Learning about hypothesis evaluation using the Bayes factor could enhance psychological research. In...
While the Bayesian parameter estimation has gained a wider acknowledgement among political scientist...
Item does not contain fulltextAnalysis of variance (ANOVA) is the standard procedure for statistical...
Analysis of variance (ANOVA) is a standard method for describing and estimating heterogeneity among ...
This dissertation discusses sample size determination to obtain the desired Bayes factor if the rese...
Researchers often have hypotheses concerning the state of affairs in the population from which they ...
Researchers can express their expectations with respect to the group means in an ANOVA model through...
Analysis of variance (ANOVA) is the standard procedure for statistical inference in factorial design...
Bayes factors quantify the evidence in support of the null (absence of an effect) or the alternative...
Analyses are mostly executed at the population level, whereas in many applications the interest is o...
In this report a Bayesian solution to the problem of testing the equality of the means of k independ...