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 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.
Description: The cloud… When we talk about the cloud, or cloud computing, we are not talking about the weather. While your text analysis in Dedoose is stored in the cloud, we promise it won’t get wet if it rains.
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: 5/19/2015 Teamwork is central to our research souls here at Dedoose and, accordingly, facilitating collaborative research will always be central to our mission.
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: Qualitative data allow us to learn about the rich, nature, complex, and contextualized ways in which our research participants experience their lives…the ‘how’ and ‘why’ of life, beyond the ‘what?’ So, simply, context is king.
Description: Now that you have read ‘Part 1: The Lingo,’ you should understand the basics concerning what descriptors are and why you would want to use them when organizing and analyzing your mixed methods or qualitative data analysis.
Description: Dedoose is an amazing tool you can use for analyzing all types of data, and today we will import and do some basic analytics with Twitter data! Check out this step by step guide to import your twitter data!
Description: Hi Dedoosers, today we are bringing you an article expanding on a pretty crazy feature added in Dedoose 8 that you may not be making the most of. We are talking about creating Data Set filters via the Excerpts tab!