What Is Maxqda How To Do Memos
I was particularly interested in the prior political experience of the AfD representatives. The idea was to automatically download the MPs’ profiles from the Bundestag website using web scraping techniques and then to describe the social structure of the AfD faction using quantitative and qualitative methods. Youll explore how to do memos, variables, segmentation, coding, and data reduction techniques all in this courseAt the WZB, as part of a project on the AfD (the new radical right party in Germany), I recently had to analyze CVs of Members of the Bundestag. It is intended for both individuals new to qualitative research and seasoned researchers.This course will introduce you to MAXQDA software for easier data analysis during the qualitative research process. The Four Stages of Research is a pedagogical model for approaching qualitative data analysis, which has evolved over the past three years.
The rest – extracting content from PDF files, combining codes, visualizing them, etc. Think of a computer-assisted qualitative data analysis software (CAQDAS) as a super highlighter (your brain is still doing the hard stuff). Also, I simply did not need all the bells and whistles offered by these tools (I suspect I am not the only one in this situation).The essence of qualitative data analysis (QDA) is to annotate text using relevant codes. Yet, these programs are expensive and not everyone is able to afford a license. In social sciences, ATLAS.ti, MAXQDA, and NVivo are the most commonly used programs to analyze qualitative data.
The package is still in development (current version 0.3-1) and some bugs are apparent. RQDA was designed by Ronggui Huang from Fudan University, Shanghai, and has been used in a number of publications. These functions do not have to be necessarily bundled with QDA programs.I took a look at RQDA, a free, light, and open-source CAQDAS built on top of R.
Combining qualitative and quantitative data is also really easy, which makes RQDA a very good tool for mixed methods.Most importantly, since RQDA is free and open-source, anyone with an Internet access can download R and RQDA and reanalyze coded texts. Think of all the R packages available to manipulate, analyze, and visualize textual data. Compared to other programs that work with closed software environments, RQDA is highly expandable. It allows you to import text files (in many languages), code them using a graphical interface, and store your codes (and their meta-information) in a usable format.What I find particularly exciting about RQDA is that it lets you use the powerful machinery of R.
I argue that qualitative research, when it does not use sensitive data, should be traceable, in the sense that others should have the possibility to go back to the source texts, examine the context, and reinterpret the coding. This means that it should be possible to reproduce the findings of a publication (tables and figures) by re-running code on the raw data. In this case, it might be interesting to put your coding schemes online.Researchers usually agree that quantitative methods should be reproducible. Yet, often, scholars analyze data that is already public (as I do).
I am really satisfied with RQDA and, for the moment, do not feel the need to move to proprietary software. I learned a lot from these demonstrations and made good progress with the coding of the CVs of the members of the Bundestag.
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