Where is Tukey in SPSS?

SPSS ANOVA Dialogs Means (“ANOVA table” under “Options”). Tukey’s HSD (“honestly significant difference”) is the most common post hoc test for ANOVA. It is listed under “equal variances assumed”, which refers to the homogeneity assumption. However, this is not needed for our data because our sample sizes are all equal.

What is Tukey’s B in SPSS?

Tukey’s b . Uses the Studentized range distribution to make pairwise comparisons between groups. The critical value is the average of the corresponding value for the Tukey’s honestly significant difference test and the Student-Newman-Keuls.

What is the difference between Tukey and Tukey’s B?

Tukey test requires equal sample sizes per group, but can be adapted to unequal sample sizes as well. The simplest adaptation uses the harmonic mean of group sizes as N. Tukey’s B (WSD) test is also based on a studentized range distribution.

What is a Tukey post hoc test used for?

The purpose of Tukey’s test is to figure out which groups in your sample differ. It uses the “Honest Significant Difference,” a number that represents the distance between groups, to compare every mean with every other mean. Like Tukey’s this post hoc test is used to compare means.

What is Tukey’s B test?

What is Tukey post hoc?

Tukey’s Honest Significant Difference (HSD) test is a post hoc test commonly used to assess the significance of differences between pairs of group means. Tukey HSD is often a follow up to one-way ANOVA, when the F-test has revealed the existence of a significant difference between some of the tested groups.

What is Tukey’s test used for?

Tukey’s Test It is used in conjunction with an ANOVA to find means that are significantly different from each other. Named after John Tukey, it compares all possible pairs of means, and is based on a studentized range distribution (q) (this distribution is similar to the distribution of t from the t-test).