In this week’s episode Greg and Patrick talk about exploratory structural equation modeling (or ESEM), a technique drawing upon the strengths of exploratory and confirmatory factor analysis methods and able to be embedded within structural equation models. Along they way they also discuss crab vs. crabs, Most Dangerous Catch, Next Day Blinds, smash-and-grab, sharp pencils, …
In this week’s episode Greg & Patrick talk with Dr. Ellen Hamaker from Utrecht University about the exciting and growing area of dynamic structural equation models. They discuss its tremendous substantive and methodological promise as well its assumptions and potential limitations. Along the way they also mention talking in acronyms, QSEM, cowardly bathroom stall phone …
S4E20 Dynamic Structural Equation Models with Ellen Hamaker Read More »
In this week’s episode Greg and Patrick talk about what you can do when latent variables conspire to multiplicatively interact, focusing on the classic product indicator approach and the more recently developed method of latent moderated structural relations. Along the way they also mention confession, being hardly sorry, conspiracy theories, Greg’s area 51 poster, trashed …
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 …
S4E13 Model-Based Power Analysis…The Power of *What* Read More »
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 …
S4E11 The Centrality of Noncentral Distributions Read More »
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, …
In this week’s episode Greg and Patrick talk about the frequent gap between research questions and methods and ways to think about reengineering your variables, your parameters, or your entire model to help get what you want. Along the way they also discuss living in the dorms, Greek god sculpture rockets, not living in the …
S4E06 Building the Model You Want: With Laser Cannons! Read More »
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, …
S4E05 Moderated Nonlinear Factor Analysis: A Conversation with Dan Bauer Read More »
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 …
S4E04 Partial Least Squares: Straight Outta Uppsala Read More »
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 …
S4E02 Underachievers, Overachievers, & Maximum Likelihood Estimation Read More »
