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 email us directly if you don't have a Google account.

Fall 2023 upcoming talks

• 27 November 2023
  Dr. Melanie Wall
  Incorporating intersectionality using latent class analysis within health contexts

Spring 2024 upcoming talks

• Jan 29 - Ellen Hamaker  https://www.uu.nl/staff/ELHamaker
• Feb 26 - Emilio Ferrer https://psychology.ucdavis.edu/people/eferrer
• March 25 - Yves Rosseel https://users.ugent.be/~yrosseel/
• April 15 - Lily Hu https://philosophy.yale.edu/people/lily-hu

Previous talks

• 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

• 17 April 2023: Rachel Fouladi (Cancelled)

• 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

• 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

• 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

See all previous talks