Data Analysis

S3E18: Aunt Roz’s Guide to Latent Means Models

In this week’s episode Greg and Patrick discuss latent means models to conduct group mean comparisons while controlling for measurement error, which gives you more power and more accurate standardized effect size estimates. Along the way, they also mention Aunt Roz, table 8, naughty pigs, crossing the streams, big twinkies, asbestos, It’s a Small World, …

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S3E17: Logistic Regression: 2 Logit 2 Quit

Greg and Patrick explore the generalized linear model as a powerful framework for building regression models for binary and other discretely distributed dependent variables. Along the way they also discuss stealing property, statistical conspiracy theories, mic drops, coming uncorked, getting punched by biostatisticians, big logistic, tapping out, the Oakland Raiders, being 8.5 feet tall, sheep …

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S3E15: Heywood You Help Me With Negative Residual Variances?

In today’s episode Greg & Patrick discuss the causes, consequences, and potential solutions associated with negative residual variances in factor analyses, a condition commonly called a Heywood case. Along the we way they also discuss vegetarian pepperoni, Jaws Part 2, coffin seat belts, balancing a ship, bad puns, sterilizing needles, dead canaries, hitchhikers, legal depositions, …

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S3E10: Observation and Exploration

Patrick and Greg discuss the often forgotten importance of observation and exploration for the purpose of suggesting patterns and forming hypotheses, which can later be refined and rigorously tested within the framework of our well-developed confirmatory machinery. Along the they way they also discuss Orlando road trips, our inner child, crappy glue, melted chocolate, leaning …

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