Professor, Distinguished Scholar-Teacher, Dir. of Quantitative Methodology: Measurement & Statistics, Univ. of Maryland; co-host of Quantitude (@quantitudepod)
Ellicott City, MD
Joined September 2014
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S8E06 Bayes Factors
In this week’s episode Greg and Patrick discuss Bayes Factors: what they are, what they aren't, and how we might use them in practice.
Gregory R. Hancock retweeted
S8E05 Probability and Odds: What’s the Vig?
This week Greg and Patrick explore the fun but sometimes confusing world of probability, odds, log odds, and odds ratios, both when encountered in statistics and in every day life.
Gregory R. Hancock retweeted
S8E04 The Curriculum Vitae Roadshow
In this week's episode we have a somewhat circuitous conversation about the academic curriculum vitae across the professional lifespan: what it is, why we have it, and what kinds of things may or may not go on it.
Gregory R. Hancock retweeted
S8E03 Control Yourself: Fixed Effects Models with Paul Allison
We are honored to talk with Paul Allison, sociologist and titan of quantitative methodology. Although we could chat about many things, we narrow it down to Paul’s seminal work in longitudinal fixed effects models.
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S8E02 Lost in Standardization
This week Greg and Patrick have a loosely organized discussion about metrics, including the pros and cons of raw versus standardized scales and the advantages of having multiple metrics for the same effect.
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S8E01 The True Crimes of Null Hypothesis Significance Testing
Patrick and Greg find it deeply unfair that the podcast hasn’t grown popular enough to fund a Quantitude jet. So they try to make it a true crime podcast, and revisit the case of Null Hypothesis Significance Testing.
Here’s a fun paper led by my amazing colleague Dayeon Lee, in press in the Journal of Educational and Behavioral Statistics. Could be that last beach read of the summer…
arxiv.org/abs/2608.02535
Gregory R. Hancock retweeted
TODAY IS THE DAY! 🥳 "Truth Addict" is officially out! If you/your students want to understand the logic of quantitative research, but w/o the math & jargon, then I'm 95% confident you'll enjoy this book 😉
Anything you can do to help spread the world would be SO appreciated! 🙏
