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Anatomy of a Normal Probability Plot

June 19th, 2025 by

Stage 2A normal probability plot is extremely useful for checking normality assumptions.  It’s more precise than a histogram, which can’t pick up subtle deviations. And yet it doesn’t suffer from too much power from large samples with tiny departures from normality or too little power from small samples with large departures from normality, as do tests like Shaprio-Wilkes.

The biggest problem with a normal probability plot is that it’s hard to read, especially if you’re not used to them. So let’s take a moment and walk through exactly how they work and what they tell you.

There are two versions of normal probability plot: Q-Q and P-P.  I’ll start with the Q-Q.   (more…)


Getting Started with Stata Tutorial #12: Changing Variables to and from Strings

May 29th, 2025 by

From the last post in this series, you should know how to change between numeric types and easily change numeric data We’ll now expand your type-changing skills to include changing string variables with two new commands.   (more…)


Getting Started with Stata Tutorial #11: Editing Variables Using recode and recast

May 12th, 2025 by

From our last posts in this series, you should be comfortable with how Stata handles data editing, as well as with making your own variables. In this post, we’ll talk about commands that edit the content or storage type of your variables in Stata: recode and recast. Let’s start off with the recode command.

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Getting Started with Stata Tutorial #10: Four Commands to Create New Variables in Stata

April 29th, 2025 by

From our last article, you should feel comfortable with the idea of editing and saving data sets in Stata. In this article, we’ll explain how to create new variables in Stata using replace, generate, egen, and clonevar.

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Strategies for Choosing and Planning a Statistical Analysis

April 22nd, 2025 by

The first real data set I ever analyzed was from my senior honors thesis as an undergraduate psychology major. I had taken both intro stats and an ANOVA class, and I applied all my new skills with gusto, analyzing every which way.

It wasn’t too many years into graduate school that I realized that these data analyses were a bit haphazard. (Okay, a LOT). And honestly, not at all well thought out.

A few decades of data analysis experience later, I realized that’s just a symptom of being an inexperienced data analyst.

But even experienced data analysts can get off track. It’s especially easy with large data sets with many variables. It’s just so tempting to try one thing, then another, and pretty soon you’ve spent weeks getting nowhere. (more…)


Getting Started with Stata Tutorial #9: Saving, Reordering, and Dropping Data

March 17th, 2025 by

Stata makes it a breeze to edit or clean your data. If you’re unfamiliar with using data sets in Stata, check out these blog posts to get a good grasp on importing and browsing data in Stata.

For this tutorial we will be using Stata’s “auto” data set. If you haven’t loaded it in yet, type

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