Qualitative Coding Simplified
The term ‘qualitative coding’ is a point of constant confusion for researchers. Jargon abounds. Depending on which textbook you open you will see: open-coding, axial coding, in-vivo coding, index...
View ArticleAndrew 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 title of his talk is “Multilevel Modeling for Design &...
View ArticleSub-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 ‘things,’ grouped in ways designated by a researcher...
View ArticleWhy 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 traditional approach to testing for measurement invariance is often more...
View ArticleAnalyzing 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 (each with two levels) on a single dependent variable. The design...
View ArticleMilk, 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 will teach a seminar on machine learning for Statistical Horizons. This has led...
View ArticleDiscrete Choice Analysis: What Our Choices Reveal about Preferences,...
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...
View ArticleThe Machine Learning Foundations of Artificial Intelligence
Bruce Desmarais will teach Machine Learning on December 14-16, 2023. This seminar provides a comprehensive introduction to machine learning. You will walk away an understanding of the core concepts,...
View ArticleWhat Are Models and Why Should We Use Them to Understand Social Behavior?
As scientists, we try to increase our understanding of the world through research. We study objects and systems to learn about their properties and behaviors. Or do we? The post What Are Models and Why...
View ArticleA Family Affair: Rigorous Causal Inference Comes to Statistical Sociogenomics
In this post, Professor Daniel Adkins, Director of Biostatistics and instructor for the Introduction to Statistical Genetics course at Statistical Horizons, delves into recent debates surrounding...
View ArticleWhat’s My Age Again? A Population Perspective on Biological Aging
To learn more about the latest methodologies and techniques for understanding and quantifying biological age, join Professor Lauren Gaydosh for Analysis of Biological Aging, March 14-16. Have you ever...
View ArticleIn Machine Learning, Can Good Predictive Models also be Interpretable?
To learn more about machine learning methodologies, core concepts, practical applications, and how to leverage these techniques in your own research, join Professor Bruce Desmarais for Machine Learning...
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