In this, their 100th episode and Season 3 finale, Greg and Patrick talk about the challenges and joys of a career in academia. Helping to ensure that we don’t let the bastards grind us down are the voices of three insightful assistant professors and three wonderful graduate students. Along the way, we also mention lining …
In this week’s episode Patrick and Greg get to hang out with Noah Greifer from the Institute for Quantitative Social Sciences at Harvard University to delve into the fascinating world of propensity scores: what they are, how we obtain them, and how they can be thoughtfully used to strengthen our causal inferences. Along the way …
In this week’s episode, Greg and Patrick talk about information theory: what it is, where it comes from, how it works, and how it can be used to make comparative model inferences. Along the way we also mention Pennsylvania 6-5000, the time lady, the Nobel Prize for Awesomeness, juggling and unicycles, enigma, imaginary friends, lemon …
In this week’s episode Greg and Patrick discuss the sometimes terrifying issue of fungible weights in multiple regression and structural equation modeling in which selecting a trivially worse criterion of fit can often lead to radical changes in the corresponding parameter estimates. Along the way they also discuss competitive family Wordle, disambiguation, inflammability, perpitty, being …
S3E25: Fungible Parameter Estimates and Earthquake Waller Read More »
In this week’s episode Greg and Patrick explore Sewall Wright’s path tracing rules as an alternative to covariance and matrix algebra, including how the rules work and the tremendous insights they can provide toward understanding a model. Along the way they also discuss the Unabomber, Crate and Barrel, grocery lane profiling, tedious as poop, throwing …
S3E24: The Wright Stuff – The Beauty of Path Tracing Rules Read More »
In this week’s episode Greg and Patrick continue their discussion from last week in the Mättrix Part deux in which we continue to explore the magic of matrices including estimation, eigenvalues and eigenvectors. Along the way they also discuss flawed audio transcripts, 50 shades of Greg, drunkenly shoving a matrix, drug mules, things you need, …
S3E23: The Mättrix Part II: Using Matrices To Our Advantage Read More »
In this first of two episodes, Greg & Patrick lay the foundations of matrix algebra, mathematically and geometrically, and start connecting these important underlying ideas to statistics. Along the way, they also discuss STDs, the 110 to the 10 to the 405, mystics, skin bags of water, vector Victor, Tac flashlights on misty nights, remembering …
S3E22: The Mättrix Part 1: Defining & Manipulating Matrices Read More »
In this week’s episode Greg and Patrick discuss the critical distinction between sample distributions and sampling distributions and we explore all the different ways in which sampling distributions are foundational to how we conduct research. Along the way they also discuss Starbucks jazz, one item tests, hot pockets, delusions of grandeur, Tetris and Pong, drawing …
S3E21: A Low-Resolution Discussion of Sampling Distributions Read More »
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 …
S3E20: The Rise of Machine Learning in the Social Sciences with Doug Steinley Read More »
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 …
S3E19: Social Network Analysis: Making Connections with Tracy Sweet Read More »
