Structural Equation Modeling

S4E13 Model-Based Power Analysis…The Power of *What*

In this week’s episode Greg and Patrick revisit a topic they addressed in their 2nd-ever episode: statistical power. Here they continue their discussion by attempting to clarify the power of what, and they explore ways of obtaining meaningful power estimates using the structural equation modeling framework. Along the way they also discuss tearing arms off, German […]

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S4E11 The Centrality of Noncentral Distributions

In today’s episode, Patrick and Greg talk about those critical distributions that often go un-discussed — noncentral distributions — including their relation to the more familiar central distributions, their role in power and sample size determination, and how they are used in assessing data-model fit. Along the way they also mention back porch reading, latent

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S4E10 Test Driving Model Identification

In today’s episode, Greg and Patrick talk about model under-, just-, and over-identification, starting with the algebraic foundations and moving into implications for the practice of structural equation modeling. Along the way they also mention shagging cars, new Ferraris, bank statements, prerecorded reactions, Quantitude implied contract, necessary & sufficient, walk of shame, Patrick’s Roz impression,

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S4E05 Moderated Nonlinear Factor Analysis: A Conversation with Dan Bauer

In this week’s episode Greg and Patrick spend a wonderful, if not at times awkward, hour talking with Dan Bauer about the genesis, application, and future directions of the what may be the world’s worst acronym: MNLFA, or moderated nonlinear factor analysis. Along the way they also discuss unsolicited help from teenagers, gold stars, acronyms,

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S4E04 Partial Least Squares: Straight Outta Uppsala

In this week’s episode Patrick and Greg talk about partial least squares, a technique that resembles structural equation modeling but with a lot of flexibility, including but not limited to its ability to accommodate both reflective and formative constructs. Along the way they also mention dark Red Bubble, Sheeps Kin, snorting SEM, the Coors Light

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S4E02 Underachievers, Overachievers, & Maximum Likelihood Estimation

This week Patrick and Greg talk about maximum likelihood estimation: what it is, where it comes from, how it works, what it can do, and what it can’t do. Along they way they also discuss tour-bombing your kid, licking the turtle, Van Halen and AC/DC, orange mustaches, brandy snifter pong, bus #27, Ronnie Fisher, why

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S3E25: Fungible Parameter Estimates and Earthquake Waller

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

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S3E24: The Wright Stuff – The Beauty of Path Tracing Rules

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

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S3E23: The Mättrix Part II: Using Matrices To Our Advantage

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,

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