Qualitative data, such as interviews, documents and observation notes, help researchers discover processes, ideas and needs that could easily be overlooked with surveys and regressions. However, qualitative data are also less structured and are difficult to work with in many analytic packages. Learn core skills for finding, coding, analyzing, presenting and sharing qualitative text data in this 1.5-day workshop. 

The first full day will focus on understanding the value of different types of text data sources and how they can be combined to create a well-rounded research data corpus, as well as learning and practicing both open and theory-driven coding techniques as individuals and teams.

The second half day will provide training on coding and analyzing text data, combining text data with survey or attribute data, and analyzing web and social media data in the powerful qualitative analysis software NVivo.

Workshop Objectives:

Recognize and evaluate potential primary and secondary qualitative and mixed methods data sources in terms of project goals and practical challenges

Create a draft plan to implement best practices in qualitative data management, documentation and archival

Distinguish the processes and purposes of open and theory-based qualitative coding

Code textual documents independently and collaboratively both by hand and using NVivo CAQDAS software

Identify at least 2 types of NVIvo queries or diagrams that can help analyze or summarize data for a specific project

Utilize attribute, classification or survey data to enhance qualitative analysis in NVivo

Use NCapture to enhance an NVivo project with Facebook, Twitter or web data