The Data in the Desert Training Workshop series is pleased to announce an upcoming workshop:

Python Programming for Non-Programming Social Scientists - February 26, 2021

Interested in programming, but don't know where to start? Have you heard of Python, but it sounds too scary? This workshop is designed for non-programmers and will cover the basics, including answering the most fundamental questions: What is a program? Why do we program? How do we program in Python? The all-day workshop will combine synchronous and asynchronous instruction and provide hands-on activities to help you write your first program in the easy to learn Python programming language.

Working Long Hours: Implications for Wage Inequality

Alexander Bick, W. P. Carey School of Business

You Can, Too: Examining the Effectiveness of a Police-Community Intervention to Replace Fear with Facts and Build Community-Police Trust

Mary-Ellen Brown, Watts College of Public Service & Community Solutions

Prefrontal Mechanisms Underlying Cocaine-Induced Compulsivity

Cassandra Gipson-Reichardt, Department of Psychology

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This and ADVANCED level, one-day workshop, covering the basics of Qualitative Data Analysis and Content Analysis.  This will be an intense refresher workshop recommended for those who have taken previous workshops by Dr. Wutich or have had prior experience using these methods.

Limited to 15 participants

Instructor: Dr. Amber Wutich

Content Analysis: The Basics

Please bring your laptops to this one-day workshop covering the basics of content analysis. Participants will learn techniques such as codebook construction, unitization, inter-rater reliability assessment, team management, and basic computerized coding.  This workshop is appropriate as an introduction for scholars interested in developing specialized analytic skills in content analysis. Participants will complete the course with the basic skills to complete a content analysis.

Limited to 15 participants.

Content Analysis: The Basics

This workshop has been changed to an online format, and will cover the basics of content analysis. Participants will learn techniques such as codebook construction, unitization, inter-rater reliability assessment, team management, and basic computerized coding.  This workshop is appropriate as an introduction for scholars interested in developing specialized analytic skills in content analysis. Participants will complete the course with the basic skills to complete a content analysis.

Instructor: Dr. Amber Wutich

Qualitative Data Analysis: The Basics

This event has been changed to an online format, covering the basics of qualitative data analysis. Participants will learn building block techniques, such as theme identification and codebook development, which can be used across many analytic traditions. The course takes a hands-on approach, and uses both lectures and activities where participants analyze real data. While the emphasis is on building conceptual and methodological expertise, participants will also learn how to use text analysis software.

Spring 2019 - Graduate Student Poster Contest Winners

Introduction to Multilevel Modeling (Online Workshop)

Limited to 25 participants

Workshop Description