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The Linear Probability Model Ain’t So Bad
Although it feels almost sacrilegious, I have recently come around to the linear probability model (LPM). It is easy to understand, its problems are surmountable, and it actually outperforms logistic… Read more
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Simulating the Null: Applications in Studying Case Outcomes
The article discusses the application of the Monte Carlo method in simulating null distributions for small-n case studies, specifically in the context of criminology and criminal justice research. The author… Read more
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Linear Regression: A Conceptual Primer
This post provides a primer on multiple regression in R, explaining its intuitive power, the basics of trendlines, and the importance of residual terms. It delves into assumptions about residuals… Read more
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Monte Carlo Mondays: The Rule of Ten
In a study of the “rule of ten” for logistic regression models, a Monte Carlo experiment was conducted with varying base rates and effect sizes. Results showed that the rule… Read more
Welcome to the blog!
I’m Matthew P. West, a senior research analyst and former social science professor. I write about research methods and statistics, from the more philosophical (how do we know stuff?) to the more practical (what is linear regression?).
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