Αποτελέσματα Αναζήτησης
14 Ιαν 2019 · Use post hoc tests to explore differences between multiple group means while controlling the experiment-wise error rate. In this post, I’ll show you what post hoc analyses are, the critical benefits they provide, and help you choose the correct one for your study.
In a scientific study, post hoc analysis (from Latin post hoc, "after this") consists of statistical analyses that were specified after the data were seen. They are usually used to uncover specific differences between three or more group means when an analysis of variance (ANOVA) test is significant.
14 Απρ 2019 · An ANOVA is used to determine whether or not there is a statistically significant difference between the means of three or more independent groups. If an ANOVA produces a p-value that is less than our significance level, we can use post hoc tests to find out which group means differ from one another.
Post hoc (Latin, meaning “after this”) means to analyze the results of your experimental data. They are often based on a familywise error rate; the probability of at least one Type I error in a set (family) of comparisons. The most common post hoc tests are: Bonferroni Procedure. Duncan’s new multiple range test (MRT)
8 Ιαν 2024 · A post hoc test is used only after we find a statistically significant result and need to determine where our differences truly came from. The term “post hoc” comes from the Latin for “after the event”.
12 Μαρ 2023 · A post-hoc test is done after an ANOVA test shows that there is a statistically significant difference. You should get at least one group that has a result of "reject \(H_{0}\)", since you only do the Bonferroni test if you reject \(H_{0}\) for the ANOVA.
17 Ιαν 2023 · In order to find out exactly which groups are different from each other, we must conduct a post hoc test (also known as a multiple comparison test), which will allow us to explore the difference between multiple group means while also controlling for the family-wise error rate.
