2016-17 Research Workshop Series

LATIS offers a series of workshops created by our experts that are free and open to all faculty and graduate students. Workshops for Spring 2017 include:

Making Qualitative Research Transparent/Reproducible

Friday, March 31 10 a.m.- 12 p.m. | Bruinicks 131B | Register

This workshop focuses on the key stages of a qualitative research workflow and discuss strategies for improving your documentation of the analysis process. Good documentation practices will assist in both drafting final manuscripts as well as in meeting journal transparency/reproducibility standards. We’ll discuss both tools and techniques for memoing, defining concepts, creating codebooks, and clarifying analytical decisions.


Intro to NVivo

Friday, April 7 10 a.m.- 12:30 p.m. | Appleby 128 | Register


NVivo is a qualitative data management, coding and markup tool, that facilitates powerful querying and exploration of source materials for both mixed methods and qualitative analysis. This workshop introduces the basic functions of NVivo and explores more advanced features including: using classifications/attributes (variables) for sorting sources, importing survey data from Qualtrics, organizing analysis using “cases”, and exporting data from NVivo to a statistics package or for archiving purposes. (No prior experience with NVivo is necessary.)


Reproducible Online Experimental Research (using Qualtrics)

Friday, April 28 10 a.m.- 12:00 p.m. | Bruinicks 131B | Register

Qualtrics is a survey tool available to all University of Minnesota researchers, and can be used to support surveys as well as behavioral and experimental research. This workshop will teach participants how to develop online experiments using this tool, including how to randomize participants to conditions, customize participant paths based on responses, and embed multimedia stimuli. We will also cover best practices on using this tool reproducibly, including how to capture important metadata, prepare data for analysis, and integrate Qualtrics with other online tools, such as Amazon’s Mechanical Turk. This workshop is targeted toward UMN researchers who have some experience with Qualtrics and plan to conduct quasi-experimental or experimental research.



Intro to Python for Social Scientists

Friday, May 5 9:30 a.m.- 12:00 p.m. | Bruinicks 131B | Register


Python has seen wide adoption in academic research because it is a powerful and easy-to-learn programming language. In this workshop, participants will learn about the pros and cons of using Python for research computing, the fundamental building blocks and basic grammar of a Python program, and how the basic libraries of the scientific Python stack can be connected to create robust, reproducible analyses. This workshop is targeted towards grad students and other researchers who have minimal exposure or are new to Python, though some previous scripting or programming experience (e.g., MATLAB or R), would be helpful. Participants should bring a laptop.


Using the Open Science Framework for Better Research

Friday, June 9 10:00 a.m.- 12:00 p.m. | Bruinicks 131B | Register


Previous workshops included:

  • Intro to Python for Social Scientists
  • Intro to R for Social Scientists
  • Intro to Nvivo
  • Intro to E-Prime
  • Introduction to Ggplot2 in R & Lab
  • Getting Data from the Web
  • Designing a Research Workflow
  • Qualitative Workflows and Tools
  • Reproducible Research in R
  • Automating Data Acquisition and Workflow
  • Information Visualization: Creating Graphics for Publication