In this week’s episode Greg and Patrick are honored to visit with Yi Feng, a quantitative methodologist at UCLA, as she helps them understand classification and regression tree analysis. She describes the various ways in which these models can be used, and how these can serve to inform both prediction and explanation. Along the way […]
S5E17 Classification and Regression Trees with Yi Feng Read More »
In this week’s episode Greg and Patrick talk all about Simpson’s Paradox: what it is, examples of where it occurs in real life, and why we might not really need to think about it as a paradox at all. Along the way they also discuss Apple Vision, The Simpsons predicting the future, sitting too close
S5E16 Simpson’s Paradox Read More »
In this week’s episode Greg and Patrick take a walk down memory lane to rediscover classical test theory, although they revisit this through the lens of modern latent variable models. They describe how these classical methods are actually highly restricted latent measurement models and they explore how these restrictions can be relaxed and even tested.
S5E15 Classical Test Theory (in bed) Read More »
In this week’s episode Greg and Patrick launch a new occasional series called Stuff You Should Know. The topic for today is regression to the mean: what the heck is it, how does it arise in every day life, and what can we do about it. Along the way they also discuss the space-time continuum,
S5E14 Regression to the Mean Read More »
In this week’s episode Greg and Patrick explore alternative parameterizations of the SEM-based latent curve model to capture various forms of nonlinearity, some that are approximations and others that are exact. Along the way they also discuss Swifties, remastering your life, bull testicles, the world’s worst RA job, Yerkes-Dodson law, show a little ankle, the
S5E10 Nonlinear Latent Growth Curve Models (Taylor’s Version) Read More »
In today’s episode, Patrick and Greg talk about the challenge of having causal indicators of formative factors within an analytical framework that is historically dominated by effect indicators and latent factors — and the critical importance of getting your arrows right. Along the way they also mention: self help books, habits, Hagrid and the giants,
S5E07 Perspectives on Formative Factors & Causal Indicators Read More »
In today’s episode, Patrick and Greg talk about fun extensions to the basic confirmatory factor model, including higher order models, bifactor or residualized models, and multitrait-multimethod models. Along the way they also discuss microscope lab, burning ants, substitute teaching, Cool or Creepy?, Monet, Clueless, haystacks, hotdogs, What are you thinking?, pennies and pounds, party like
S5E06 Advanced Factor Structures Read More »
In the inaugural episode of Quantitude, Greg and Patrick introduce themselves, describe their goals for the podcast, and talk about their own professional trajectories — kind of like superhero origin stories, but without the “super” or “hero.” They also discuss what not to say in your application to a quantitative graduate program, a lifelong dream
S1E01: Welcome to Quantitude / Origin Stories Read More »
