In the inaugural episode of Season 3, Patrick and Greg argue (more than usual) about statistical conclusion validity: what it is, what affects it, and how it fits in with other types of validity. Along the way they also mention: FrogFest2021, fostering illusions, coughing up a thorax, entrée vs. entry, 50 hours of community service, […]
S3E01: Leaping to Statistical Conclusion Validity Read More »
In this episode Patrick and Greg construct a deconstruction of the construct of construct validity. Constructively. Along the way they also discuss Jacques, sheep STDs, Bill Clinton, college admissions, touching a giant turtle, butwinking, cadaver bingo, nomological networks, teen spirit, playing drop-the-hanky, ticket to the prom, and lipstick on a pig.
S2E33: Truth, Balderdash, and Construct Validity Read More »
In this episode Greg and Patrick explore the freakish and terrifying topic of equivalent models, particularly as they arise within the structural equation modeling analytical framework. Along the way they also discuss rinsing toes, palindromes, anagrams, being a tad unquiet, under-teaching, double-secret probation, scary cousins, sausage makers, Tribbles, empty beer bottles, Hard Core History, a
S2E24: The Equivalent Models Problem Read More »
Greg and Patrick discuss issues of controlling for extraneous variables, by randomization and by design, but especially the challenges and assumptions associated with statistical control. Along the way they also mention drag racing, Volkswagen Bugs, Seabiscuit, Harrison Bergeron, Diet Coke, Janet Jackson, John Denver, gastrointestinal distress, Sewall Wright, and babies and bathwater.
S2E14: Control (Variable) Issues Read More »
In this episode Greg and Patrick wander semi-drunkenly around the topic of model-based inference and discuss how this perspective can help move us forward as a scientific discipline. They also somehow manage to discuss explosives, sniffing glue, homemade 787s, catfish noodling, the Ikea helpline, Calvinball, Ludwig Beethoven, Rube Goldberg, hell’s half acre, denouements, and intolerable
S2E05: Model Based Thinking Read More »
Patrick and Greg open with a disagreement about time travel movies, which then somehow devolves into a discussion of alternative approaches to modeling longitudinal data. They agree that a core issue to consider is the separation of within-person and between-person components of change over time, both theoretically and analytically. Throughout the discussion they also mention
S2E02: The Auto-Regressive Cross-Lagged Horror Picture Show Read More »
Greg and Patrick talk about internal validity — broadly and traditionally — but also as an increasingly important lens through which to view our information-saturated world, and be responsible, critical, and skeptical members of scientific communities as well as society. Along the way, they also mention gargling bleach, 5G cell towers, vaping lysol, fecal transplants,
S1E26: The Internal Validity Pre-Flight Checklist Read More »
Patrick and Greg draw on their experience in author, reviewer, and editorial roles to talk about the manuscript review process, and offer strategies for revising a manuscript and crafting a letter in response to editorial guidance and reviewer feedback. Along the way they also discuss spring break for octogenarians, spitting on graves, being flabby and
S1E25: Reviewer 2 — A Love/Hate Relationship Read More »
In today’s episode, Greg and Patrick start a conversation about how COVID-19 has had an instantaneous and lasting impact on research, what we can do about it right now, and what we can be thinking about for the future as we move forward, together. Along the way they also manage to mention… elevators of blood,
S1E24: Research in the Time of Corona Read More »
Patrick and Greg spend an hour stumbling through the world of Monte Carlo computer simulation methodology as a way of knowing within the quantitative sciences. They also delve into: bad ideas, the Dans in Patrick’s life, unique Zoom backgrounds, typical birth weights, theoretical models underlying reading glasses, Jan Ken Pon, being due, archery, blue and
S1E23: Computer Simulation: Carlo. Monte Carlo. Read More »
