The UB Summer Research Institute trains researchers in a collegial, intellectually engaging and multidisciplinary atmosphere. Workshop participants learn easy to understand practical information about statistics and methods, developing skills and knowledge to confidently analyze their own data. Our courses are appropriate for a range of researchers, including graduate students from all disciplines, private and public sector researchers and policymakers, and college and university faculty. Anyone with research experience/training who is interested in gaining new skills, or brushing up on the latest analytic techniques, is welcome.
Module 1: Qualitative Data Analysis, May 20-22, Professor Erin Hatton
This course will familiarize students with qualitative data analysis, focusing on in-depth interviews and content analysis. Students will learn how to develop thematic codes, apply them to qualitative data, and analytically interpret the results. The course will conclude with discussion about writing and presenting the results of such analyses.
Module 3: Building a Better Regression Model, June 3-5, Professor Christopher Dennison
This course will begin with an overview of regression models, focusing on coefficients in multiple linear regression. Students will then learn several analytic techniques to further develop their skills. Specific topics will include testing coefficient differences across models; interaction terms; nonlinearity; and nonlinear interactions. The course will conclude with discussion about regression models for count and categorical outcomes.
*Please note that the Spatial Analysis and Applied Survey Research Design modules have been removed and the module numbers have changed. Pay careful attention to register for the correct topic area.
The modules will run from 9:00 a.m. to 3:30 p.m. daily with a break from 12-1pm for lunch on your own.
All instruction will take place in Park Hall on the UB North Campus in Amherst, NY.
The cost per module is $300 for UB students and $390 for non-UB students.
Refund Policy: Registration fee, less university registration processing fees, will be refunded by request if registration is cancelled 2 weeks in advance of program start date.