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Distinguished Speaker Series: A Seminar taught by William H. Greene
“Econometric Models for Discrete Choices”

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Discrete Choice Analysis: What Our Choices Reveal about Preferences, Tradeoffs, and Alternatives

On November 1, 2023, Professor William H. Greene will present a Distinguished Speaker seminar on “Econometric Analysis of Discrete Choices.” In this post, Professor Trenton Mize–who teaches several...
Trenton Mize September 26, 2023

Discrete Choice Analysis: What Our Choices Reveal about Preferences, Tradeoffs, and Alternatives

On November 1, 2023, Professor William H. Greene will present a Distinguished Speaker seminar on “Econometric Analysis of Discrete Choices.” In...
Sep 26, 2023

Milk, Eggs, and Courts: My First Machine Learning Project

This semester I am teaching a graduate course at Penn State on Machine Learning for Political Research, and in December I...
Sep 13, 2023

Analyzing Experiments Using the marginaleffects Package for R

A 2×2 factorial design is a type of experimental design that allows researchers to understand the effects of two independent variables...
Sep 07, 2023

Why aren’t MIMIC models used more often?

Measurement invariance is a big deal in psychometrics—and in many related fields. In this post, I’m going to argue that the...
Jul 31, 2023

Sub-setting Qualitative Data for Machine Learning or Export

Many researchers use ‘sets’ in analyzing qualitative data, such as in-depth interview transcripts, fieldnotes, and focus groups. Sets are groups of...
Apr 11, 2023

Andrew Gelman on Multilevel Modeling

Statistical Horizons is thrilled to announce that Andrew Gelman will be speaking in our Distinguished Speaker Series on May 31st. The...
Mar 22, 2023

Qualitative Coding Simplified

The term ‘qualitative coding’ is a point of constant confusion for researchers. Jargon abounds. Depending on which textbook you open you...
Mar 15, 2023

Getting the Lags Right – A New Solution

Seven years ago, I wrote a blog post about an alarming statistical problem discovered by Stephen Vaisey and Andrew Miles (hereafter...
Oct 24, 2022

Is Dummy Variable Adjustment Ever Good for Missing Data?

For many years, one of the more popular ways of handling missing data was a technique known as dummy variable adjustment...
Sep 27, 2022

When Do Suppressor Effects Occur?

When doing regression analysis, most data analysts expect that the coefficient associated with a predictor variable will get smaller (closer to...
Aug 30, 2022

Is OLS BLUE or BUE?

If you’ve ever taken a course on linear regression, you probably learned that ordinary least squares (OLS) is BLUE—the best linear...
Jul 12, 2022

Making Your First GitHub R Project

Increasingly, academic scholars, data scientists, and quantitative researchers are turning to GitHub for collaboration and to share data, code, and results. GitHub allows...
Aug 12, 2021