If we want to quantify the results of our coding in QDA, we have to think about two aspects first: scope and quantity. The scope forces us to consider what length our text segments should have (words, sentence, paragraph), whereas the quantity indicates what we are allowed to do with these segments later in analysis (numerical, boolean, non-numerical analysis). To quantify codes properly, this must be taken into consideration long before we complete our coding. Continue reading Scope & Quantity: Defining Codes for Proper Quantification
This book combines a MAXQDA manual with Kuckartz (2014). However, it creates a value that is greater than the sum of its parts. Although it sometimes tries too hard to be brief, it does well in combining methodological knowledge with technical questions. Unfortunately, the book has only appeared in German. Continue reading Review: “Analyse qualitativer Daten mit MAXQDA” (2019)
Analytical units force us to be specific about what we do. How much text do we code? What context do we take into consideration? What documents or text segments do we include or exclude from our analysis? Thinking about them can definitely help us improve the quality of our analysis. Continue reading Sampling Unit, Coding Unit, Context Unit? Analytical Units in QDA
No, it’s not. Granted, QDA-software is far from methodologically neutral and strongly influences the way we design our research. However, it is not a method in itself and we always need some external “building plan”(a method) to guide us. Continue reading Is (MAX)QDA actually a method?
In a nutshell Qualitative Data Analysis is all about structuring unstructured data, be it text, images, audio or video, by manually assigning tags, categories or “codes” to segments of data. This helps finding relevant segments again and allows to quantify (count) them. Continue reading What is Qualitative Data Analysis?