Description: Mixed Methods Charts We have had requests from users on Facebook and Twitter for an explanation of charts, graphs, and bubble plots in particular. Here is an in depth look at one of our bubble plot!
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: 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: 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: The essential goal of mixed methods research is to tackle a given research question from any relevant angle, making use where appropriate of previous research and/or more than one type of investigative perspective.
Description: Data filtering can bring forth powerful insights when conducting a qualitative data analysis in Dedoose. By narrowing the scope of your data set using Boolean operations you can see how isolated sets of data may differ from your data set as a whole.
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: 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: 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.