In the last episode of Season 4, Greg and Patrick discuss the very cool exploratory technique of cluster analysis — including concepts of multivariate distance, hierarchical and non-hierarchical methods, and how it differs from mixture models. Along the way they also mention: Scandinavian architects, raccoons on meth, vegetarian hotdogs, sh*t-ton of do-loops, free-range jam, statistical […]
S4E25 Cluster Analysis Read More »
In honor of April Fool’s Day, this week’s episode is about being fooled, specifically quantitative things that can fool you, accompanied by some classic songs about being fooled. Along the way, Greg and Patrick also discuss ukus, the spaghetti harvest, sucker!, meet the new boss, traditions of doing things wrong, naked garbage bag poker, old
S4E22 April Fools! The Quantitative Things That Fool Us Read More »
In this week’s episode Patrick and Greg discuss the dark art of using regression diagnostics to assess how well assumptions are met in the general linear model, with applications to the wide array of related techniques. Along the way they also mention Big Pharma, Merriam-Webster, free-radical opioids, baguettes, antisocial personality disorder, Elon Musk, yoinked, Trinity
S4E19 The Dark Art of Regression Diagnostics Read More »
In this week’s episode Greg and Patrick discuss variable transformations, both linear and non-linear, and explore the potential pros and cons of using these in applied research settings. Along the way the also discuss prank phone calls, English drama, rapping Dr. Seuss, persnickety estimation, weekly banana intake, it don’t make no never mind, Jeffry Bezos,
S4E17 Variable Transformations: Box-Cox, Fox in Socks Read More »
In this week’s episode Patrick and Greg talk about an alternative to familywise Type I error control, the false discovery rate, and how it offers increased power in that middle ground between no error control and the severe control of Bonferroni. Along the way they also mention: Leif Ericson, discovering Columbus, The Flintstones, brontosauri, dying
S4E16 Discovering the False Discovery Rate Read More »
In this week’s episode Greg and Patrick discuss how we might flip the traditional null and alternative hypothesis testing procedures to move us from tests of literal equality to tests of practical equivalence. Along the way they also discuss tough love, horseshoes and hand-grenades, Patrick’s Driving School, Cheyenne Mountain, So Long and Thanks For All
S4E15 Flipping Our Hypotheses to Test Equivalence Read More »
In today’s episode Greg and Patrick talk about that sweet spot between panel designs and time series designs, intensive longitudinal data, both the logistical and analytical challenges but more importantly its tremendous potential. Along the way they also discuss camp fire face-plants, fear of horses, your spare eyelid, polishing your Nobel Prize, ripples in a pond,
S4E09 Intensive Longitudinal Data: Be Careful What You Wish For Read More »
In this week’s episode Greg and Patrick get to explore modern methods for missing data analysis while belaboring quotes from Top Gun with their guest Craig Enders from the University of California at Los Angeles. Craig looks back over the past 20 years of developments in missing data analysis to discuss what has worked, what
S4E08 Missing Data: The New State Of The Art With Craig Enders Read More »
In this week’s episode Greg and Patrick talk about the frequent gap between research questions and methods and ways to think about reengineering your variables, your parameters, or your entire model to help get what you want. Along the way they also discuss living in the dorms, Greek god sculpture rockets, not living in the
S4E06 Building the Model You Want: With Laser Cannons! 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 »
