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, […]
S3E18: Aunt Roz’s Guide to Latent Means Models Read More »
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
S3E17: Logistic Regression: 2 Logit 2 Quit Read More »
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,
S3E15: Heywood You Help Me With Negative Residual Variances? Read More »
In today’s episode, Greg and Patrick talk about the rich array of models for testing hypotheses about mutual influences between people within a dyadic relationship. Along the way they also discuss bones to pick, red herrings, bad influences, cow nutrition, playing both sides of the ball, Deion Sanders, the mind’s eye, it’s not me it’s
S3E13: The Actor-Partner Interdependence Model Read More »
Greg and Patrick talk about median splits and other ways that continuous variables might be categorized to simplify analyses, and the often very high cost of doing so. Along the way they also mention Never Have I Ever, hand cuffs, gold hoop earrings, bungee jumping, Erik, Henry and Penny, having a mini, chug jugs, Hill
S3E11: The Cons and the Cons of Median Splits Read More »
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
S3E10: Observation and Exploration Read More »
In this episode Patrick and Greg discuss the challenges of having ordered categorical data, as well as the seemingly magical limited information and full information analytical options to deal with such data. Along the way they also discuss sky cranes, the Mars Climate Orbiter, metric vs. imperial units of measurement, Lockheed-Martin, left hands and right
S2E27: (re)Connecting With Discrete Data Read More »
