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: 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: 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: 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: The concept of mixed methods has begun to take root around the world. There are arguments on both the qualitative and the quantitative side of the aisle when it comes to mixed methods...
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 the features in Excel to add descriptor data can save you a great deal of time in your mixed methods or qualitative data analysis.
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