Having the data in a digital format means you might have to perform multiple types of searches across the dataset to answer significant questions. Methodological bibliography should be precise in terms of the tasks one must perform to construct and evaluate theroies within a methodological framework. We will also cover the memoing features, which are important to qualitative research, along with options for linking data and data classification using variables. You will complete several practical exercises using multimedia data (images, video, and/or audio recordings) and examples of textual data (policy documents, interview transcripts, open-ended survey responses, or newspaper articles). We will look in depth at all coding possibilities in MAXQDA, including the paraphrasing options. Methodologies and document types imply differences in coding information. We will briefly discuss the main academic variations in the deductive or inductive coding approaches.Ĭoding information is an important part of qualitative research. Several methodologies, research designs and coding protocols can be implemented using MAXQDA. Text analysis remains a key feature but, due to software assistance, qualitative data analysis is increasingly devoted to other formats. Q ualitative data is available in myriad formats. Then we test some of MAXQDA's data preparation and curation features, such as how to manage and perform literature reviews using standard file formats that allow the exchange of files between software packages.īy the end of this topic, you will know how to navigate through your databases, replacing one-by-one navigation procedures with more interesting procedures. This step allows you to manage your data using MAXQDA in a fast and rewarding way. Next, we look at MAXQDA's main features and how they are organised internally. We will test the different ways documents may be collected and imported into a project file using standard file formats and assistant tools like the MAXApp.ĭocument represents a broad category abridging multiple file types: textual files, PDF documents and/or reports, spreadsheets and other tabulated data, survey data, focus groups transcripts, bibliographic data, images, audio files, video files, web pages, twitter data, etc. ![]() ![]() By the end of the course, you will know how to use MAXQDA in your qualitative research projects.įirst, we will compile a list of data gathering and preparation activities using examples ranging from traditional research techniques to online or digital-oriented methods. You will be introduced to basic and more advanced features. This practical course consists of three topics covering the main stages of the qualitative data research process. Instead of struggling to learn intricate software procedures, MAXQDA users can master and implement an extensive range of research methodologies. ![]() MAXQDA is easy to learn, and contains powerful tools for efficient research data management and analysis using project files.
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