In this week’s episode Patrick and Greg talk about creating collectible trading cards for some of our favorite philosophers of science and the impact each has had on how we think about the practice of research. Along the way, they also discuss goose mating calls, collapsed sinuses, Riverdance!, Comfortably Numb, Pikachu and Jigglypuff, the back […]
S7E23 Quantitude Philosopher of Science Trading Cards Read More »
In this In the Wild episode, Patrick and Greg conclude their unexpected cluster of college-themed conversations by turning their Quantitude loose on the ultimate question: is college worth it. In particular, they discuss how the multi-layered, individualized, and ever-changing nature of a college education make this question especially tricky to answer. Related Episodes S7E15 Are College Rankings
S7E22 Is College Worth It? Maybe… Read More »
In this week’s episode Greg and Patrick have a wonderful time talking about qualitative research methods with Emily Namey. Emily has dedicated her entire career to qualitative research and she helps them better understand what it is, what it can do, and how it plays a critical role in understanding the complexities of human behavior.
S7E21 Qualitative Research with Emily Namey Read More »
In this week’s episode Greg and Patrick follow-up their previous discussion of time-varying covariates with a conversation about methods for modeling the simultaneous development in two or more constructs over time. Along the way, they also discuss back tattoos, right lane closures, 49.5 lb luggage, Clear, the United lounge, Sharpies, Neo, the Urfdedurfdedingerdonger, living with
S7E20 Modeling Co-Development Over Time Read More »
In this week’s episode, Greg and Patrick have great fun talking about the inclusion of time-varying covariates within growth models. They differentiate time invariant from time varying predictors, explore how these are differentially incorporated in the MLM and SEM, and conclude with both the strengths and the limitations of these models in practice. Along the
S7E19 Growth Modeling With Time-Varying Covariates Read More »
In this week’s episode, Greg and Patrick magically find themselves at trivia night in the Rusty Mackerel pub in Ireland where a secret celebrity trivia master puts them on the spot to test their knowledge of statistics and statisticians. Along the way they also discuss St. Paprikash, no back story, Hooker Oklahoma, The Karate Kid
S7E18 St. Patrick’s Day Pub Quiz Read More »
In this week’s episode Greg and Patrick talk with Ken Bollen who is a Professor of Psychology and Sociology at the University of North Carolina at Chapel Hill. In addition to exploring topics including home made rockets, sitars, and Jimi Hendrix, Ken talks with them about his brand new book Elements of Structural Equation Models and how
S7E17 Elements of Structural Equation Models with Ken Bollen Read More »
In this week’s episode, Greg and Patrick discuss the decades-old method of the regression discontinuity design and describe how, when properly applied, this approach can strengthen our causal inferences when using quasi-experimental data. Along the way they also discuss Ravenclaw vs. Gryffindor, playing barefoot darts, gaming the system, I see dead people, Googling age cut-offs,
S7E16 Jumping Into Regression Discontinuity Designs Read More »
In this In the Wild episode, Greg and Patrick turn their Quantitude loose on college rankings. In particular, they discuss whether these rankings are of use to anyone at all, and what issues we would need to have addressed in order for us to be able to answer that question. Related Episodes S7E11 Should Essays be Used
S7E15 Are College Rankings Useful? Maybe… Read More »
In this week’s episode Greg and Patrick talk, for the third time, about power analysis, drawing on a recent paper by Greg and Yi Feng at UCLA, that reminds us how little we actually know when sample size planning, and then offers a concrete, cautious strategy for planning in the face of that uncertainty. Along
S7E14 Sample Size Planning: The Groundhog Day Episode Read More »
