Interviews with Interesting People – Page 2

S3E20: The Rise of Machine Learning in the Social Sciences with Doug Steinley

Patrick and Greg discuss the rise of machine learning in the social sciences with guest Doug Steinley who is a professor in the Department of Psychology at the University of Missouri at Columbia and is the current editor of the APA journal Psychological Methods. Along the way they also discuss funeral expenses, Swedish massage, Amy […]

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S3E19: Social Network Analysis: Making Connections with Tracy Sweet

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In this week’s episode Greg and Patrick have a wonderfully engaging conversation with social network analysis expert Tracy Sweet who is an Associate Professor in the Department of Human Development and Quantitative Methodology at the University of Maryland. Tracy patiently helps us understand what social network analysis is, and how it can be used to

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S3E12: The History of Measurement: A Conversation with Derek Briggs

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Patrick and Greg have an in-depth conversation with Derek Briggs, from the University of Colorado, about his new book exploring the fascinating and at times uncomfortable history of measurement and the people who helped develop methods we still use today. Along the way they also mention: outsourcing parenting, where do babies come from, hearing colors,

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S3E05: Pop Quiz 3: Ethan’s Revenge

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What starts as a friendly check-in with our intern Ethan McCormick in the Netherlands turns into Ethan’s Pop Quiz Revenge around the themes of statistical paradoxes and distributions. Along the way, Greg and Patrick also discuss headlamps, airport carousels, prostrate vs. prostate, operatic ambulances, ungulates, how X-mas got its X, Cobra Kai, bromeo, metric time,

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S2E34: The Mentorlorian

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In the final episode of Season 2, Greg and Patrick enlist the help of colleagues in a conversation about the joys and challenges of being a good mentor. Along the way they also discuss Cinco de Cuatro, Fozzie Bear, trash compactors and rubber snakes, pitchers at Linda’s, giant jugs of wine, meeting the dog, someone

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S2E32: Lies, Damned Lies, and Random Samples with Laura Stapleton

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Greg and Patrick talk about how, although textbooks almost exclusively talk about simple random samples, in practice they almost never actually occur. To try to sort this out, they enlist the help of Dr. Laura Stapleton from the University of Maryland, who lived a prior life as an economist and knows a thing or two

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S2E29: Multilevel Models — The Often Unnecessary Green Monster

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Patrick and Greg fulfill a legal obligation to interview the unnecessarily ubiquitous Dr. Dan McNeish of Arizona State University about why you probably don’t need to use multilevel modeling even when you have multilevel data. Along the way they also mention MacNair, safety schools, the Green Monster, driving a Corvette across the country, Compensation Club,

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S2E28: McNeish v. Quantitude — Training Quantitative Methodologists

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Pursuant to court order, Greg and Patrick find themselves legally compelled to discuss key aspects of training quantitative methodologists, including knowledge acquisition, knowledge application, and knowledge generation. Along the way, they also mention: Nuckles, too many Dans, onomatopoeia, The One, the number of the day, a big tylenol, bluesheets, Mr. Miyagi, Lunch n Learn, reviewing

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S2E11: The Replication … Dilemma: A Conversation with Samantha Anderson

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Today Patrick & Greg step off-camera and pull in Dr. Samantha Anderson who is a quantitative psychologist at Arizona State University and is an expert in all things related to the so-called “replication crisis.” They are uncharacteristically quiet as she talks about the past, present, and future of replication in the social sciences. Along the

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S2E04: Bayesian Wake Up Call with Roy Levy

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Patrick and Greg impulsively launch the inaugural segment of “Quantitude Wake Up Call” where they forget how longitude works and call Bayesian expert Roy Levy at 5:40 in the morning. Although somewhat rattled, Roy helps the Quantidudes better understand Bayesian inference and describes the many ways that this approach can help move our science forward.

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