University Honors College - The Honorable mention

UB’s Summer Research Institute

Posted by Tim on May 4, 2018 in Research Information and Opportunities, Summer Research

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 and develop skills and knowledge to confidently analyze their own data.
Our courses are appropriate for a range of researchers—graduate students from all disciplines, private
and public sector researchers and policymakers, college and university faculty—anyone with research
experience/training who is looking to gain new skills or brush up on the latest analytic techniques.

Summer 2018

Qualitative Data Analysis
May 21-23
This course introduces attendees to rigorous qualitative analytic approaches, including grounded theory and thematic analysis, and guides attendees in applying them to data. We will also cover techniques for writing and for presenting qualitative data and methods.

Spatial Analysis
May 21-23
This course introduces the utility of spatial data, and focuses on teaching attendees applied spatial analysis skills. Attendees will learn how to use mapping software, how to create maps for presentations, how to usefully transform mapping data, and will be introduced to spatial statistical tools.

Introduction to Structural Equation Modeling
May 29-31
This course introduces attendees to structural equation modeling (SEM) both with and without latent variables. Upon finishing the course attendees will be able to estimate models using available software (Mplus) to conduct research and interpret results.

Introduction and Application of Propensity Score Analyses
June 4-6
This course introduces attendees to propensity score analyses, a quantitative analytic technique geared toward addressing confounding bias. Attendees will be introduced to both propensity score weighting and matching techniques, as well as how to assess covariate balance. Upon completion, attendees will be able to apply propensity score analyses using both SAS and Stata.

For more information and registration:
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