ÜBER DIESE EPISODE
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, Van Halen's "Jump", Zoom calls in class, senior discount day, pivots, building saddles, biggest guy in the bar, grunting tennis players, refusing a raise, when the cops show up, and the ninth step.
Stay in contact with Quantitude!
- Web page: quantitudepod.org
- TwitterX: @quantitudepod
- YouTube: @quantitudepod
- Merch: redbubble.com
Englisch
Vereinigte Staaten
TRANSKRIPT 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
VERGANGENE FOLGEN SUCHEN
Vorhandene Folgen von Quantitude durchsuchen.
WEITERE EPISODEN IN DIESEM PODCAST
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 lu…
In this week's episode Patrick and Greg 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 El…
In this week's episode, Greg and Patrick magically find themselves at trivia night in the Rusty Mackerel pub in Teelin, 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, …
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 …
Rechtliche Hinweise: Der auf dieser Seite eingebettete Podcast und das Bildmaterial stammen von Greg Hancock & Patrick Curran, das Eigentum seines Eigentümers ist und nicht mit Listen Notes, Inc. verbunden ist oder von diesen unterstützt wird.
BEARBEITEN
Vielen Dank, dass Sie uns helfen, die Podcast-Datenbank auf dem neuesten Stand zu halten.