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Intro to Dedoose: Qualitative Coding and Analysis

Ended Sep 13, 2022
2 credits

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Full course description

Term: Fall 2022

Date: September 13th, 2022

Time: 12:30pm - 2:30pm

Location: Torgerson 3310 & Online through Zoom

Instructor: Nathaniel Porter

Presented By: University Libraries (LIB)



Traditional qualitative and mixed-methods data analysis software is expensive and often makes it difficult to work in teams. Dedoose's cloud-based software provides a relatively inexpensive subscription alternative that can be accessed anywhere and is built from the ground up to enable team collaboration. This workshop will introduce Dedoose and its major features and provide interactive practice importing data, coding with teams, and performing simple analysis of codes.

This is an introductory workshop: you do not need experience or a project to participate. Anyone can register, but you will be asked to set up a 30-day trial with Dedoose to participate if you do not already have a subscription. You will receive more information on setting up your account before the workshop; we recommend you do not start your trial more than a week in advance, to ensure you have ample time to take advantage of your trial after the training.