guest contributer

If you’ve ever run a one-way analysis of variance (ANOVA), you’re familiar with post-hoc tests. The ANOVA omnibus test only tells you whether any groups differ in their means. But if you want to explore which specific group mean is different from which, you need to follow up with a post-hoc test. (more…)

1 comment

One big advantage of R is its breadth. If anything has been done in statistics, there is an R package that will do it.

The problem is that sometimes there are four packages that will do it. This is big problem with R (and with Python for that matter). (more…)

No comments yet

Formatting Date Variables seems like it should be straightforward, but sadly, it’s not.

If you are given data that includes dates, expect confusion. Dates can be represented in many different ways. (more…)

No comments yet

I’m a big fan of Analysis of Variance (ANOVA). I use it all the time. I learn a lot from it. But sometimes it doesn’t test the hypothesis I need. In this article, we’ll explore a test that is used when you care about a specific comparison among means: Dunnett’s test. (more…)

No comments yet

A multiple regression model could be conceptualized using Structural Equation Model path diagrams. That’s the simplest SEM you can create, but its real power lies in expanding on that regression model.  Here I will discuss four types of structural equation models.

Path Analysis

More interesting research questions could be asked and answered using Path Analysis. Path Analysis is a type of structural equation modeling without latent variables. (more…)

5 comments

by Kim Love and Karen Grace-Martin

Statistics terminology is confusing.

Sometimes different terms are used to mean the same thing, often in different fields of application. Sometimes the same term is used to mean different things. And sometimes very similar terms are used to describe related but distinct statistical concepts.

(more…)

No comments yet