Welcome!
The joint quantitative brownbag (joint QBB) speaker series started out as an initiative between two graduate quantitative methods programs during the start of COVID-19 in Fall 2020. Currently, this initiative has grown to include about half a dozen quantitative methods graduate programs across North America. The longstanding purpose of the joint brownbag is to facilitate connection and discussion among students and faculty in graduate programs on topics of interest to a breadth of research topics in quantitative methodology. Quantitative methodologists develop theory, methods, and techniques focused on enhancing research in the social and behavioral sciences.
We meet monthly during the academic Fall and Spring semesters to feature experts in different fields from quantitative methods. Our meetings are over zoom and held on Mondays from 12:30-1:30pm ET.
Please join our mailing list/Google Group to receive JQBB information. Please brief introduce yourself for verification purpose. Email us directly if you don't have a Google account.
Spring 2024 upcoming talks
- April 15, 2024
Dr. Lily Hu
Equality, Identity, and Causality
Previous talks
Spring 2024
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March 25, 2024
Dr. Yves Rosseel
The structural-after-measurement (SAM) approach to SEM -
Feb 26, 2024
Dr. Emilio Ferrer
Intra- and Inter-Individual Variability in Psychological Processes in Dyadic Interactions -
Jan 29, 2024
Dr. Ellen Hamaker
Reflections on the Within-Between Dispute in Cross-Lagged Panel Research
Fall 2023
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27 November 2023
Dr. Melanie Wall
Incorporating intersectionality using latent class analysis within health contexts -
6 November 2023
Dr. Mijke Rhemtulla
Consequences of Mistaking the Measurement Model in SEM, Alternatives to Common Factors, and a Method for Model Selection -
9 October 2023
Dr. Elizabeth Tipton
Generalizability and heterogeneity: Designing your study when treatment effects vary -
11 September 2023
Dr. Xiaoming Zhai
AI and Formative Assessment: The Train Has Left the Station
Spring 2023
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17 April 2023: Rachel Fouladi (Cancelled)
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27 March 2023
Dr. Lisa Wijsen
Values in Psychometrics -
27 February 2023
Dr. Soojin Park
Estimation and Sensitivity Analysis for Causal Decomposition: Assessing Robustness Toward Omitted Variable Bias -
30 January 2023
Dr. Clare Evans
Multilevel Models of Intersectional Inequalities
Fall 2022
- 28 November 2022 - Panel on Teaching for Diversity in Quantitative Courses
Panel Speakers:
- Dr. Jessica Logan – Vanderbilt University
- Dr. Amanda Montoya – UCLA
- Chris Strauss – University of North Carolina at Chapel Hill
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7 November 2022
Dr. Nathan Kuncel; University of Minnesota
Title: Moving Toward Evidence Based Practice in Graduate Admissions -
12 September 2022
Dr. Dakota Cintron; University of California, San Francisco
Title: Advancing Fairness and Equity in Measurement: An Intersectional Approach to Measurement Invariance Testing - 10 October 2022
Dr. Viji Sathy and Dr. Abigail Panter; University of North Carolina at Chapel Hill
Title: Using a Quantitative Mindset to Advance DEI in Higher Ed
Spring 2022
Theme: Breadth of Quantitative Methodology
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January 31, 2022
Dr. Sacha Epskamp
Introducing psychonetrics, an R package for (dynamic) structural equation modelling and network psychometrics -
February 28, 2022
Dr. Michael Halquist
Using Multilevel Models to Uncover Spatiotemporal Dynamics of Neural Activity (Or, How I learned to Stop Worrying and Love the MLM) -
March 21, 2022
Dr. James Heckman
The Econometric Approach to Causality -
April 11, 2022
Dr. Kate Slaney
Critiquing from Within: The role and importance of meta-scientific research in psychology