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: 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: 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: 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!
Description: Transcribing is THE WORST... just the worst. If we had a nickel for every time someone at a conference talked to us about the perils of audio and video transcription…well, we would be very rich.
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: 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.