In this week’s episode Greg and Patrick talk about exploratory structural equation modeling (or ESEM), a technique drawing upon the strengths of exploratory and confirmatory factor analysis methods and able to be embedded within structural equation models. Along they way they also discuss crab vs. crabs, Most Dangerous Catch, Next Day Blinds, smash-and-grab, sharp pencils, …
In this week’s episode Greg and Patrick explore all the ways they lie about things when they teach, not the least of which is that there are actually no individual growth trajectories estimated in an individual trajectory growth model. They discuss why this is, how individual trajectory estimates can be obtained, and how these might …
S4E14 Growth Trajectory Estimates…What’s My Line? Read More »
In this week’s episode Greg and Patrick spend a wonderful, if not at times awkward, hour talking with Dan Bauer about the genesis, application, and future directions of the what may be the world’s worst acronym: MNLFA, or moderated nonlinear factor analysis. Along the way they also discuss unsolicited help from teenagers, gold stars, acronyms, …
S4E05 Moderated Nonlinear Factor Analysis: A Conversation with Dan Bauer Read More »
In this week’s episode Patrick and Greg talk about partial least squares, a technique that resembles structural equation modeling but with a lot of flexibility, including but not limited to its ability to accommodate both reflective and formative constructs. Along the way they also mention dark Red Bubble, Sheeps Kin, snorting SEM, the Coors Light …
S4E04 Partial Least Squares: Straight Outta Uppsala Read More »
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, …
In today’s episode, Patrick and Greg use the context of COVID rapid tests to discuss issues of sensitivity, specificity, positive and negative predicted values, and the generally questionable utility of test accuracy information. Along the way they also discuss escape rooms, C4, Embassy Suites, palak paneer, 93% accurate, astragali, SAT prep courses, the volume of …
S3E16: Your COVID Rapid Test Result: Are You Positive You’re Positive? 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 »
Patrick and Greg have an in-depth conversation with Derek Briggs, from the University of Colorado, about his new book exploring the fascinating and at times uncomfortable history of measurement and the people who helped develop methods we still use today. Along the way they also mention: outsourcing parenting, where do babies come from, hearing colors, …
S3E12: The History of Measurement: A Conversation with Derek Briggs 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 …
In today’s episode Patrick & Greg talk about the use of item parcels in latent variable modeling: what they are, what might motivate you to use them, and what unexpected complications can arise. Along the way they also mention wheel extenders, walking toward the light, logorrhea, party bands, corpse sniffing dogs, boxes of human heads, …
S3E06: Item Parcels: What Could Possibly Go Wrong?! Read More »
