Tag Archives: qualitative data

[v9.1, v8.4] ATLAS.ti – Qualitative data analysis & research software

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In recent years, with the progress of information processing and analyzing technologies, many QDA (qualitative data analysis) programs have been equipped with very comprehensive and perfect functions, and provide us with more possibilities of using software to analyze text and multimedia data. Software can save time, make it easy to find data, and is more standardized. Especially when the data is too much and the analysis takes very long time, the advantage of software becomes more obvious. In addition, the use of software also provides convenience for multiple users to process materials at the same time in a teamwork.

Continue reading [v9.1, v8.4] ATLAS.ti – Qualitative data analysis & research software

[v10.4.15] MAXQDA – All-in-one qualitative & mixed methods data analysis tool

As a matter of fact, qualitative analysis is less dependent on software than numerical analysis. Although software brings great convenience, it can also hinder people’s thinking ability, even the actual effect is not as good as the traditional pen & paper operation. Anyway, there have been a lot of QDA (Qualitative Data Analysis) software in the market, but only three of them are the most popular ones: ATLAS.ti, NVivo and MAXQDA. By contrast, MAXQDA’s user interface is friendly, supports Unicode encoding, has a very small file size (only dozens of MBs), and runs fast.

Continue reading [v10.4.15] MAXQDA – All-in-one qualitative & mixed methods data analysis tool

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[v11.4] NVivo – Important tool to support qualitative and hybrid research methods

NVivo (short for Nudist Vivo) is a very powerful qualitative data research and analysis software, developed by QSR International from Australia in 1999. Through node, coding and qualitative methods, it completes the leach and extraction of documents in different formats, and collates, analyzes and shares data for users.

Continue reading [v11.4] NVivo – Important tool to support qualitative and hybrid research methods