Description: Hey there Dedoosers! In this article we’re going to go over the demo project.
Description: Are you confused by descriptors? No worries, many people are, but they can be very useful in seeing your qualitative data from entirely new directions.
Description: As opposed to the broad-based, open-ended approach of qualitative research, the fundamental purpose of quantitative research is to seek specific answers to specific questions
Description: Qualitative text analysis is far more effective when not only are codes/themes applied to tag and subsequently count meaningful content or words/phrases, but when the ‘value’ of each application is further is tracked and understood
Description: When your research calls for speaking to the same participants at multiple time points, you need to quickly and easily identify the phase at which each interview belongs. This is where dynamic descriptor fields come in.
Description: The fundamental purpose of qualitative research is to better understand why a particular group of people behaves or believes as it does
Description: When Chrome was first released, it was a figurative breath of fresh air to the browser world. Intuitive, filled with all sorts of useful gadgets and goodies and - most of all - FAST!
Description: Teamwork. It often brings to mind motivational posters hanging in old high school locker rooms…
Description: Using Dedoose as your qualitative data analysis environment allows you to filter your data by many different variables, codes, descriptors, and even users. This step-by-step guide is designed to walk you through the process.
Description: As a follow up to our last post on building solid and useful code systems, we want to help bring everyone up to speed on another dimension you can bring to your qualitative research from a mixed methods perspective—code ratings/weights.