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: 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: 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: While the Dedoose Descriptor functionality can be very useful and a valuable component of your project, it can also be confusing…hence the number of blogs we post on the topic.
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: It seems that there is often confusion about descriptors – what they are and how to use them in your mixed methods or qualitative data analysis.
Description: Reminders about the terrific survey importer, quick code widget and a variety of guidance on examining inter-rater reliability in Dedoose. All great stuff for qualitative and mixed methods research and evaluation data analysis.
Description: In Dedoose, we use a normalization procedure but what does this mean and why do we have it enabled by default? Join us in going over the function and how to use it in the following blog!
Description: Using the features in Excel to add descriptor data can save you a great deal of time in your mixed methods or qualitative data analysis.