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Summer Research Institute 2017

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.

For more information click here or contact Dr. Robert Adelman, soc-sri@buffalo.edu.
To register click here

Module 1: Statistics Crash Course, May 22-23, 2017
This course introduces students to the statistical vocabulary, concepts, and techniques they may encounter in their personal and professional lives. Topics include descriptive statistics, probability, sampling distributions, statistical inference, and hypothesis testing.
Module 2: Qualitative Data Analysis, May 24-25, 2017
This course introduces students to rigorous qualitative analytic approaches, including grounded theory and thematic analysis, and guides students in applying them to data. We will also cover techniques for writing and presenting qualitative data and methods.
Module 3: Survey Designs and Sampling, May 25-26, 2017
This course introduces students to survey research, one of the most common quantitative data collection techniques/research methods in the social and behavioral sciences. Students will learn to evaluate existing survey questions and how to craft their own high quality surveys. Students will use widely available survey research tools, such as Google Forms, to develop their own survey instruments.
Module 4: Using Census Data and Tools, May 30-31, 2017
This course introduces students to the exciting range of applications for U.S. Census data, with a particular focus on different sources of data, how researchers can extract what they need from the national databases for their own research purposes, and then how to format the data for analysis. By the end of the course students will also be able to report certain measures from their data extraction.
Module 5: Introduction to Structural Equation Modeling, June 1-2, 2017
This course introduces students to structural equation modeling (SEM) both with and without latent variables. Upon finishing the course students will be able to estimate models using available software (Mplus) to conduct research and interpret results.

For more information click here or contact Dr. Robert Adelman, soc-sri@buffalo.edu.
To register click here