Sociology Summer Research Institute 2020

The Sociology Summer Research Institute 2020 has been canceled. We are considering
a Winter session so we encourage you to join our Mailing List.

The UB Sociology 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. Learn more about the Department of Sociology.


Erin Hatton.

Session 1: Qualitative Data Analysis, May 18–19

Prof. Erin Hatton

Take a deep dive into familiarizing yourself with qualitative data analysis, focusing on in-depth interviews and content analysis. Learn how to develop thematic codes, apply them to qualitative data, and analytically interpret the results. You will conclude with an in-depth review about writing and presenting the results of such analyses.

Veronica Horowitz.

Session 2: Focus Group Research, May 20–21

Prof. Veronica Horowitz

Learn the fundamentals of conducting focus group research and the variety of purposes that focus group research serves. Specific topics will include planning a focus group (developing questions, selecting participants, and selecting an appropriate setting); moderating and notetaking skills; analyzing focus group data; and organizing and reporting results.

Prasad Balkundi.

Session 3: Social Network Analysis, May 26–27

Prof. Prasad Balkundi

Social networking is now a constant in our everyday lives and how it affects businesses and research has major implications. You will learn theoretical and methodological skills to independently conduct studies using social network analysis. Learn about network theories, their corresponding measures, and how to obtain data for network analysis. The training you will receive in social network analysis software (UCINET; NETDRAW) will enable you to learn analytic, empirical, and presentation options.

Christopher Dennison.

Session 4: Building a Better Regression Model, May 28–29

Prof. Christopher Dennison

Begin with an overview of regression models, focusing primarily on the interpretation of coefficients in multiple linear regression and then learn several analytic techniques to develop your skills. Specific topics will include testing coefficient differences within/across models, interaction terms, nonlinearity, and nonlinear interactions. You will finalize your training experience with an overview of dealing with missing data as well as regression models for count and categorical outcomes.

Location and Pricing Information

Each session will run from 8:30 a.m. to 4:30 p.m. daily with a break from 12-1pm for lunch on your own.

All instruction will take place in 474 Park Hall on the UB North Campus in Amherst, NY.

The cost per session is $300 for UB students and $390 for non-UB students.

Refund Policy: Registration fee, less university registration processing fees, will be refunded only if cancelled at least 10 business days from the start date. Refund request must be in writing only. Full refund if program cancels by university.