Gregory R. Hancock

Professor, Distinguished Scholar-Teacher, Dir. of Quantitative Methodology: Measurement & Statistics, Univ. of Maryland; co-host of Quantitude (@quantitudepod)

[Gregory R. Hancock @GregoryRHancock]

I don’t know what the question is, but the answer is almost never “MANOVA.”

[Gregory R. Hancock @GregoryRHancock]

@UptonOrwell Thank you! 🤗

[Gregory R. Hancock @GregoryRHancock]

For those who are interested, here is an 8-minute TED talk style talk that I gave a couple of months ago on using your quantitative aptitude and attitude — your Quantitude.

https://t.co/p2424wsxDz

[quantitudethepodcast @quantitudepod]

S7E23 Quantitude Philosopher of Science Trading Cards

In today’s episode we talk about creating collectible trading cards for some of our favorite philosophers of science and the impact each has had on how we think about the practice of research.

[Gregory R. Hancock @GregoryRHancock]

@buitengebieden LeBron 🙄

[quantitudethepodcast @quantitudepod]

Start your collection, tomorrow…

[quantitudethepodcast @quantitudepod]

S7E22 “Is College Worth It? Maybe…”

In this week’s In The Wild episode, we conclude our college-themed conversations, discussing the multi-layered, individualized, and ever-changing nature of a college education, and wrestle with the messy question of whether it’s worth it.

[quantitudethepodcast @quantitudepod]

Probably? Sometimes? It depends? I hope so? Tomorrow…

[Gregory R. Hancock @GregoryRHancock]

@Math_files

[Gregory R. Hancock @GregoryRHancock]

In a linear latent growth model with intercept (α) and slope (β) factors, the α-β relation might be differentiated (e.g., unrelated below a certain threshold on the α-axis but with a meaningful relation above). This paper addresses modeling such nonlinear α-β relations.

[Gregory R. Hancock @GregoryRHancock]

Here’s a fun paper for those interested in growth models:

Dayeon Lee & Gregory R. Hancock

Detecting Transition Points in the Slope-Intercept Relation in Linear Latent Growth Models

Multivariate Behavioral Research, 61(2), 267-286.

https://t.co/z6nw5V0GG1

[quantitudethepodcast @quantitudepod]

S7E21 Qualitative Research with Emily Namey

This week we talk with Emily Namey, who has dedicated her entire career to qualitative research. She helps us better understand what it is, what it can do, and its critical role in understanding the complexities of human behavior.

[quantitudethepodcast @quantitudepod]

Appreciating the similarities and differences, tomorrow…

[Quant Methods at UMD @QMMSatUMD]

2-day online short-course (student discount available):

INTRODUCTION TO MACHINE LEARNING FOR THE SOCIAL SCIENCES
May 7-8, 2026 (Thursday-Friday)

Instructor:
Dr. Tracy Sweet, University of Maryland
([email protected]) 

For more information, please visit
https://t.co/mOdcCejgtA

[Gregory R. Hancock @GregoryRHancock]

@aidangcw @quantitudepod Glad they missed.

[Gregory R. Hancock @GregoryRHancock]

@aidangcw @quantitudepod I can merge like a pro. It’s the construction block that throws me. I will let you drive on our next road trip and I’ll DJ and fetch snacks. 👍

[quantitudethepodcast @quantitudepod]

S7E20 Modeling Co-Development Over Time

In today’s episode we follow-up our previous discussion of time-varying covariates with a conversation about methods for modeling the simultaneous development in two or more constructs over time.

[quantitudethepodcast @quantitudepod]

Draw some conclusions with us tomorrow…

[Gregory R. Hancock @GregoryRHancock]

@CraigAnthonyRS @quantitudepod Hilarious! 😂

[quantitudethepodcast @quantitudepod]

S7E19 Growth Modeling With Time-Varying Covariates

This week we differentiate time-invariant from time-varying predictors, explore how these are differentially incorporated in MLM and SEM, and conclude with strengths and limitations of these models in practice.

[quantitudethepodcast @quantitudepod]

Um… what?! Find out tomorrow… (Bonus points if you already get the classic album cover reference.)