Cutting-Edge Methodological Topics Taught at this Summer’s Methods U Workshop Series

Thursday, May 30, 2019
UCSB Methods University, June 17-19, 2019

Are you an early career faculty member, post-doctoral scholar, or graduate student wanting to further your knowledge on a full range of methodological topics? Maybe you’re looking to gain exposure to innovative analytic techniques and the beautiful Santa Barbara sunshine? The Gevirtz Graduate School of Education is glad to host another summer of Methods University (Methods U), a multi-day series of workshops that focus on specific topics in cutting-edge research methods. The workshops span June 17-19, 2019 on the UC Santa Barbara campus in Goleta, CA. Registration prices increase after Friday, May 31.

With more course offerings and instructors than last year, participants will leave with greater familiarity of innovative quantitative methods and relevant applications for their research interests. This year’s line-up of instructors includes faculty members in the UCSB Department of Education, Dr. Karen Nylund-Gibson, Dr. Andrew Maul, and Dr. Hunter Gehlbach; a professor in the UCSB Department of Psychological and Brain Sciences, Dr. Nancy Collins; and Ph.D. candidates in the Department of Education, J. Jacob Kirksey and Daniel Katz.

The purpose of these workshops is to offer rigorous preparation of advanced statistical methods that are required to answer both common and complex research questions in the social sciences. 

Workshop topics include:

  • An Introduction to Latent Class Analysis (LCA), taught by Dr. Karen Nylund-Gibson (two-day)
  • Moving from LCA to LTA: Introduction to Latent Transition Analysis in Mplus, taught by Dr. Karen Nylund-Gibson (two-day)
  • Constructing Measures, taught by Dr. Andrew Maul (two-day)
  • Introduction to Rasch Measurement, taught by Dr. Andrew Maul
  • Mediation and Moderation Analysis: A Regression Based Approach, taught by Dr. Nancy Collins (two-day)
  • Savvy Survey Design for Social Scientists, taught by Dr. Hunter Gehlbach
  • Causal Inference with Bigger and Better Data: Applied Quasi-Experimental Techniques in Social Science Research, taught by J. Jacob Kirksey (two-day)
  • An Introduction to R: Data Cleaning, Wrangling, and Visualizing, taught by Danny Katz

Register here and follow Methods U on Twitter for regular updates on the event. You don’t want to miss this unique opportunity!