In this week’s episode Greg and Patrick explore all the ways they lie about things when they teach, not the least of which is that there are actually no individual growth trajectories estimated in an individual trajectory growth model. They discuss why this is, how individual trajectory estimates can be obtained, and how these might […]
S4E14 Growth Trajectory Estimates…What’s My Line? Read More »
In today’s episode Greg and Patrick talk about that sweet spot between panel designs and time series designs, intensive longitudinal data, both the logistical and analytical challenges but more importantly its tremendous potential. Along the way they also discuss camp fire face-plants, fear of horses, your spare eyelid, polishing your Nobel Prize, ripples in a pond,
S4E09 Intensive Longitudinal Data: Be Careful What You Wish For Read More »
Patrick and Greg talk about the potential advantages and disadvantages of alternative approaches to analyzing two time-point data. They discuss traditional models for raw and residualized change scores, and describe how each of these remains baked into the soul of contemporary models for repeated measures data. Along the way they also mention: 24 inch pizza
S3E04: Two Time Point Data: What Is Your Quest? Read More »
In this episode Greg and Patrick attempt to resolve long festering relationship issues that arise between the multilevel modeling and structural equation modeling approaches to growth curve analysis. Along the way they also discuss first dates, Jets and Sharks, Cubs and Cardinals, Montagues and Capulets, Tsingtao Beer, Thunderdome, stupid LISREL tricks, pressure math, dirty secrets,
S2E26: MLM vs. SEM: Opportunities for Growth Read More »
Patrick and Greg open with a disagreement about time travel movies, which then somehow devolves into a discussion of alternative approaches to modeling longitudinal data. They agree that a core issue to consider is the separation of within-person and between-person components of change over time, both theoretically and analytically. Throughout the discussion they also mention
S2E02: The Auto-Regressive Cross-Lagged Horror Picture Show Read More »
Greg and Patrick waste an hour of your time drunkenly wandering along the dangerous cliffs overlooking mixture modeling. In addition to exploring the potential promises and unadulterated dangers of mixture models as a mode of scientific inquiry, they also mention drama nerds, hunchbacks, date night for the Lincolns, name dropping, UConn women’s basketball, inductive-deductive wishin’-and-a-hopin’,
S1E20: Finite Mixture Modeling & Sir Mixture-A-Lot Read More »
Greg and Patrick start with what seems like a reasonable metaphor linking musical compositions to planned missing data designs, and then they proceed to beat it to death. Then, just when you think they’ve buried it, they dig it back up and beat the carcass some more before eventually just running out of time. In
S1E17: Planned Missing Designs (or, How to Beat a Metaphor to Death) Read More »
In Episode 16 of Quantitude, Patrick and Greg have more fun than is probably socially acceptable when talking about missing data. In addition to embracing the Zen-like paradox of “the presence of missing data,” they also discuss West Point, “is” versus “are,” middle school English teachers, relentless tenacity, talking narwhals, being completely pregnant, taking in
S1E16: Missing Data: (IF EPISODE=16 THEN EPISODE=-999) Read More »
In this episode, Patrick and Greg respond to a call-in question that raises a host of issues revolving around measurement invariance testing. In addition to complaining about horrible terminology commonly used in quantitative methodology, they also address pirate mothers, irreverance, time machines, quadruple negatives, buying firewood, digging up bodies, the Schotz clock, and dumpster fires.
S1E12: Measurement (Non)Invariance — Can We Ever Fail to Not Incorrectly Reject It? Read More »
