A podcast dedicated to all things quantitative, ranging from the relevant to the highly irrelevant.
Patrick and Greg answer a mailbag question about some foundational principles of regression and corr
In today's episode Patrick and Greg talk about statistical degrees of freedom: what they repres
In this episode, Greg and Patrick discuss the many places where researchers make decisions throughou
In today's episode Patrick & Greg talk about the use of item parcels in latent variable mod
What starts as a friendly check-in with our intern Ethan McCormick in the Netherlands turns into Eth
Patrick and Greg talk about the potential advantages and disadvantages of alternative approaches to
Greg and Patrick discuss Principal Components Analysis: what it is, what it absolutely isn't, a
In this episode, Patrick leads Greg and the rest of us through the incredibly cool and powerful topi
In the inaugural episode of Season 3, Patrick and Greg argue (more than usual) about statistical con
In this, the third and final episode of SummerQamp, Greg and Patrick embark on a cross country journ
Nursing their SPF-defying sunburns from SummerQamp 1, Patrick and Greg now find themselves in the wo
After completely blowing an ambitious summer schedule of weekly episodes, Patrick and Greg sit pools
In the final episode of Season 2, Greg and Patrick enlist the help of colleagues in a conversation a
In this episode Patrick and Greg construct a deconstruction of the construct of construct validity.
Greg and Patrick talk about how, although textbooks almost exclusively talk about simple random samp
Patrick and Greg celebrate international haiku day with listener-submitted HaiQs, and somehow tie th
Greg and Patrick explore the many interesting issues related to centering predictor variables prior
Patrick and Greg fulfill a legal obligation to interview the unnecessarily ubiquitous Dr. Dan McNeis
Pursuant to court order, Greg and Patrick find themselves legally compelled to discuss key aspects o
In this episode Patrick and Greg discuss the challenges of having ordered categorical data, as well
