quantitudethepodcast
@quantitudepod
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Hey nerds. It’s a quantitative methods podcast. With attitude. And merch ().
Joined May 2019
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When your multisample Bayesian moderated non-linear factor analysis model with categorical outcomes and interacting moderators fails to converge after five days, because you forgot a semicolon.
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Don’t forget your local quantitative methodologist.
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4 YEARS & 125 EPISODES LATER…
We did a super-advanced content analysis (i.e., we argued while poolside) and came up lists of episodes that might be useful for your classes (MLM, SEM, research methods, etc.)
We hope these are helpful.
😊 P & G
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Happy Friday! We just wanted to take a moment to let you know that we are thinking about all our friends out there, we hope that things are going okay on average, and we wish for you that the variance around that average is manageable as well. Please take care.
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To start, for his heroic (and, mildly troubling) efforts, we are sending
@wesbonifay
a Quantitude notebook (along with some self-help resources).
Here are some of *our* favorites from among his many, many, many offerings.
No need to vote. Just smile.
Thanks Wes!
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Congrats to Bill Chopik (
@Chops310
) for his winning GIF caption (as seen below), providing some smiles and maybe some much-needed empathy for many of our early-career friends out there. We will send Bill a cool Quantitude notebook. Stay tuned for more Quantitude fun, soon! 😎
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Tate Hancock, in his bedroom laying down two tracks for this year’s updated Quantitude theme song. Thanks Tate!
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Patrick is visiting Greg’s house for a few days (despite Greg’s family’s strenuous objection), and our time together has devolved into making statistical band names (as cleverer people have done before us). Like:
* Depeche Median
* Rage Against the Machine Learning
What’s yours?
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This is Tate Hancock, who plays the sax on the Quantitude theme music. He’s getting ready for the new season, Season 5, starting soon. Gus (the dog) is getting ready too. Can’t wait! 😊
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Q-TIP:
If you want to facilitate social distancing, tell someone you’re a statistician.
(courtesy of
@TheYiFeng
)
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S4E01: Ordinary Least Squares — Back Where It All Began
To ease into Season 4, we talk about the origins, rationale, inner workings, assumptions, and benefits of our old friend, ordinary least squares estimation.
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It’s Quanti-TUDEsday!
S3E17: Logistic Regression: 2 Logit 2 Quit
In today's episode, Greg & Patrick explore the generalized linear model as a powerful framework for building regression models for binary and other discrete dependent variables.
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This week we explore modern missing data methods, while belaboring Top Gun quotes, with Craig Enders of UCLA. Craig looks back over the past 20 years to discuss what has worked, what hasn't worked, and what new methods are available now that we didn't have back then.
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Greg (and Patrick) here. I’m traveling, pirating wifi from the parking lot of a closed small town library.
Just wanted to say that there’s a summer episode of Quantitude coming next Tuesday. (We’d tell you the title if we actually had one right now.)
Have a great weekend!!!
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S5E19 Item Response Theory, Q.E.D.
In today’s episode, Patrick and Greg provide an intro to Item Response Theory: what it is, how it relates to traditional factor analysis, and how it improves upon some of the limitations of classical test theory.
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S5E12 Meta-Analysis With Paschal
Sheeran
This week we have great fun talking with renowned social psychologist Paschal Sheeran, from UNC Chapel Hill, who describes what meta-analysis is, what it offers, and how to apply it in your own work.
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S4E24 Longitudinal Measurement Invariance
Today Patrick and Greg talk about the critical and often unmet assumptions underlying the use of measured variables at multiple time points.
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Many QPod friends are methodologists themselves. Others are more applied folks who embrace quant and work with quanty people.
Is there a quant person you’d like to give a shout out to, someone who has helped and/or inspired you?
Feel free to share your appreciation!
👏👏👏
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S5E05 Multilevel Models Unleashed
This week we take advantage of the recent expiration of a statute of limitations, legally allowing us to talk about the multilevel model: what it is, when we might use it, and extremely cool extensions that it allows.
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BACK-TO-SCHOOL PICS!
As some final fun before Season 6, post a school pic of yourself (high school or before). This isn’t a contest; it’s just a chance to smile at ourselves, which we could all use sometimes.
Cringey 17-year old us will get things started. Who will join us? 😊
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Thanks to everyone for all the clever captions! With the help of psychic Madam Flora (see pic), 4 options emerged for final consideration. Vote for your favorite using the poll below. The one receiving the most votes within 24 hours will get a Quantitude spiral notebook. Thanks!
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It’s Quanti-TUDEsday!
S2E26: MLM vs. SEM — Opportunities for Growth
In this episode G and P attempt to resolve long festering relationship issues between the multilevel modeling and structural equation modeling approaches to growth curve analysis.
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Happy Thanksgiving video from Quantitude. 🦃 🥧 🥔 🍷
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Hey nerds. Quantitude — the quantitative podcast! — is almost here. So ... close. Check out the trailer for QPod (apparently that’s what the cool kids are calling it) on your favorite podcast platform, or right here:
Full episodes drop soon. Join us!
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It’s Quanti-TUDEsday!
S2E23: Research Questions About Variability
We discuss variability, both within individuals and within groups, as a source of really interesting and often overlooked research questions, to complement our methods for studying means.
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S3E28: The Challenges and Joys of Academia
In our 100th episode and season 3 finale, we hear from three insightful assistant professors and three wonderful graduate students about the challenges and joys of a career in academia.
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It’s Quanti-TUDEsday!
S2E18: Regression: Like That Old High School Friend You’ve Outgrown
P & G compare/contrast multiple regression and structural equation modeling, arguing there are numerous reasons to turn to SEM to continue to drive us forward.
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Last week’s captions were such fun, let’s do it again! This is our very own Patrick Curran (on the right). He doesn’t know this is being posted, since his main source of social media is the wall over the urinal at work. Anyway, if you have a fun caption, please share by Thursday!
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Congratulations to Tim Hayes (
@letsnotbehayest
) for his winning quant summer movie title — which we put in poster form below! Tim will receive a cool Quantitude spiral notebook for his wonderful wit. Stay tuned for another fun Quantitude contest, coming soon! 😎
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Congrats to the ever-clever
@letsnotbehayest
for his winning caption, for which he will get a Quantitude spiral notebook. Stay tuned for another fun Quantitude contest, coming soon! 😊
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Hi friends!
We’re planning our holiday episode (Dec 15th), a theme of which is the Airing of Grievances. If you have a *brief* grievance related to quant and/or academia, please share! (We might even use some on the episode.) Thanks!
"It drives me crazy when ____________ ."
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S4E20 Dynamic Structural Equation Models with Ellen Hamaker
Today we talk with Dr. Ellen Hamaker of Utrecht University about dynamic structural equation modeling — its substantive and methodological potential, as well as its assumptions and limitations.
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TEACHER SHOUT OUTS!
Please share the name of a *great* quant teacher you’ve had (prof, TA, etc.) and why they’re amazing. THIS IS NOT A CONTEST — it’s just a chance to recognize that in a tough field like ours, there are people who really make a difference for their students. 😊
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It’s Quanti-TUDEsday!
S2E29: Multilevel Models... The Often Unnecessary Green Monster
G & P fulfill a legal obligation to interview Dan McNeish of Arizona State University about why you probably *don’t* need multilevel models even with multilevel data.
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Thanks for all the DM inquiries. Here’s the info about the book mentioned in this week’s episode.
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It’s Quanti-TUDEsday!
S2E30: ‘Always Center Your Predictors!’ And Other Sh*t My Advisor Says
Greg and Patrick explore many issues related to centering predictor variables prior to analysis, both in standard regression models and in multilevel models.
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Check out our new and improved website!
▪️ Episode information
▪️ Keyword searchable
▪️ Premade playlists
▪️ Fun episode art
▪️ Time-wasting mouse thingy
▪️ Disturbing pics of P and G
What more could you ask for?!
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S3E27: Propensity Scores — I Meant To Do That!
P & G hang out with
@noah_greifer
, Institute for Quantitative Social Sciences at Harvard University, to discuss propensity scores: what they are, how we get them, and how they can strengthen causal inference.
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Hi friends! Got a good quantitative methods caption for this picture?
Please share!
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5-WORD HORROR STORY!
For our next Quantitude summer fun contest, IN EXACTLY FIVE WORDS tell a very scary statistical/quantitative horror story. 😱
(Please post by Thursday.)
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Speaking of Quantitude merch, here are a couple of new options (T-shirt color up to you). The design (from E2S17) was a special request of devoted QPod listener, Dr. Shannon Swan.
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S5E02 Multicollinearity: The Usual Suspect
In today’s episode, Greg and Patrick talk about the terrifying, the feared, the dreaded … Multicollinearity. Blamed for many general linear model problems, they dare to ask the question: “But should it be?”
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S5E04 Dissertations Vol. 2: Quant Ideas From Actual Experts
Six quant methods scholars share a wide variety of fertile ground for quant research, useful for students seeking dissertation topics as well as anyone interested in active methodological areas.
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Congratulations to
@paul_a_bloom
for his winning statistical band name, “Bayes II Men.” Paul will receive a Quantitude spiral notebook. Stay tuned for another fun Quantitude contest, coming soon! 😊
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S5E14 Regression to the Mean
This week we launch a “Stuff You Should Know” episode, on the topic of regression to the mean: what it is, how it arises in every day life, and what can we do about it.
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Imagine all the crazy stat parties that would have happened today, were it not for the pandemic.
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In this week's episode we revisit a topic we addressed in our 2nd-ever episode: statistical power. Here we continue by attempting to clarify the power of *what*, and we explore ways of obtaining meaningful power estimates using the structural equation modeling framework.
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Thanks everyone! Once again, we got SO many fun entries. After consulting star charts and Ouija boards, the 4 options below emerged for final consideration. Vote for your favorite using the poll. The one receiving the most votes will get a Quantitude spiral notebook.
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Congratulations to
@BronsonHui
for his winning caption, for which he will receive a Quantitude spiral notebook. Stay tuned for another fun Quantitude contest, coming soon! 😊
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get a front row seat tomorrow…
(and be sure to listen to the ending of the episode!)
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