Video Tutorial: 2 Way Between ANOVA

Please click on the video below for a video tutorial on 2 way between ANOVA.   Contact Statistics Solutions today for a free 30-minute consultation with Dr. Lani. During this conversation, we will gain a clear understanding of your requirements and timeline, outline the assistance that we can provide, and provide a quote for our services. Our services include:

Video Tutorial: One Within One Between ANOVA

The video below demonstrates how to conduct a one within one between ANOVA.  

The Assumption of Homogeneity of Variance

The assumption of homogeneity of variance is an assumption of the ANOVA that assumes that all groups have the same or similar variance.  The ANOVA utilizes the F statistic, which is robust to the assumption, as long as group sizes are equal.  Equal group sizes may be defined by the ratio of the largest to

ANOVAs and MANOVAs

An ANOVAs is used to assess differences on time and/or group for one continuous variable and a MANOVA is used to assess differences on time and/or group for multiple continuous variables, but what other factors go into the decision to conduct multiple ANOVAs or a single MANOVA?  MANOVAs are best conducted when the dependent variables

Checking the Additional Assumptions of a MANOVA

So a MANOVA is typically seen as an extension of an ANOVAthat has more than one continuous variable. The typical assumptions of an ANOVA should be checked, such as normality, equality of variance, and univariate outliers. However, there are additional assumptions that should be checked when conducting a MANOVA. The additional assumptions of the MANOVA

Two-Way ANOVA Interactions in SPSS

Typically, when conducting an ANOVA, we can get the pairwise comparison results for the differences between the groups on the dependent variable. However, when we step it up to two grouping variables, SPSS tends to not give us this option.               For example, let’s say you wanted to test for difference in “Test Scores”

Analysis Of Variance (ANOVA)

Analysis of Variance (ANOVA) is a parametric statistical technique used to compare datasets. This technique was invented by R.A. Fisher, and is thus often referred to as Fisher’s ANOVA, as well. It is similar in application to techniques such as t-test and z-test, in that it is used to compare means and the relative variance between

Sample Size Calculation for One-Way ANOVAs in Dissertations and Theses

I’m sure there are some of you out there looking for the minimum sample size necessary to find the analyses of variance (ANOVAs) in your dissertation or thesis significant.  Sample size calculation for ANOVAs can be complicated if it’s a factorial ANOVA or mixed ANOVA, so we’ll start slow and focus on sample size calculation