Upcoming Training & Events By Year

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Introduction to Open Data Kit (ODK), Part 1

Introduction to Open Data Kit (ODK)

ODK (http://opendatakit.org/) is a free and open-source set of tools to create, deploy and manage mobile electronic data collection and information services. Organizations from around the world use ODK to, for example, collect data from field surveys and provide mobile decision support systems. This workshop will cover the foundations of how to develop such applications. No prior experience is required.  

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Introduction to Open Data Kit (ODK), Part 2

Introduction to Open Data Kit (ODK)

ODK (http://opendatakit.org/) is a free and open-source set of tools to create, deploy and manage mobile electronic data collection and information services. Organizations from around the world use ODK to, for example, collect data from field surveys and provide mobile decision support systems. This workshop will cover the foundations of how to develop such applications. No prior experience is required.  

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Getting to Know the CSR

The primary purpose of the CSR is to assist faculty and university researchers in the collection and analysis of social science data. This presentation will introduce you to CSR staff and familiarize you with some of our services and capabilities. We will highlight applications in the following areas:…

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R/RStudio

This session will introduce the R environment and programming language.  The goal is to impart an understanding of R that will allow attendees to get quickly started on their own regardless of background, and present a glimpse into the vast array of ways in which to use R and RStudio to further one's research.  It does not assume any specific programming experience.

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Advanced Qualtrics

Learn how to use the Qualtrics REST API for integrating Qualtrics with R/RStudio. We will cover everything from finding your token to programming and uploading a survey to downloading your data. There is no trouble if you do not use R; you might still be able to apply the principles to a program of your choice.…

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Literate Programming

This module is an introduction to Literate Programming (LP for short) with an emphasis on statistical programming using R and LaTex. Statistical analysis often consists of a text file (e.g., an .R file) containing program code with scattered comments describing the various parts of the code. In LP the emphasis is reversed: instead of writing code containing documentation, 

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Introduction to Stata

Introduction to Stata will cover the fundamentals of the Stata environment and introduce participants to reproducible data analysis workflows using common tasks related to data manipulation, programming of statistical analyses, and generation of graphical output. There will be ample breaks throughout the day, including a longer break for lunch on your own.

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Introduction to R

Introduction to R will introduce applied researchers to concepts necessary to get started programming within a statistical environment. This boot camp will utilize a very hands on approach with the goal to have participants become very comfortable both with R and with statistical programming in general should they decide to use another language. There will be ample breaks throughout the day, including a longer break for lunch on your own.

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Introduction to Research Methods (part 1)

Introduction to Research Methods is a three day workshop which will focus on concepts and how to investigate ideas and attack problems in a statistical and computational fashion. Topics include testing ideas, measurement issues, data integrity, computational thinking, pattern recognition and model building, and reproducibility.

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Introduction to Research Methods (part 2)

Introduction to Research Methods is a three day workshop which will focus on concepts and how to investigate ideas and attack problems in a statistical and computational fashion. Topics include testing ideas, measurement issues, data integrity, computational thinking, pattern recognition and model building, and reproducibility.

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Introduction to Research Methods (part 3)

Introduction to Research Methods is a three day workshop which will focus on concepts and how to investigate ideas and attack problems in a statistical and computational fashion. Topics include testing ideas, measurement issues, data integrity, computational thinking, pattern recognition and model building, and reproducibility.

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