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  2. RQDA - Wikipedia

    en.wikipedia.org/wiki/RQDA

    RQDA is an R package for computer-assisted qualitative data analysis or CAQDAS, making it one of the few open source tools to assist qualitative coding of textual data.Note that there are also other popular but mostly proprietary CAQDAS tools such as NVivo and Atlas.ti but these software come at a cost.

  3. Member check - Wikipedia

    en.wikipedia.org/wiki/Member_check

    In qualitative research, a member check, also known as informant feedback or respondent validation, is a technique used by researchers to help improve the accuracy, credibility, validity, and transferability (also known as applicability, internal validity, [1] or fittingness) of a study. [2]

  4. MAXQDA - Wikipedia

    en.wikipedia.org/wiki/MAXQDA

    The standard version of MAXQDA [4] for macOS and Windows offers tools for the organisation and analysis of qualitative data. This includes text, audio, image, video and bibliographical files as well as survey data, Twitter tweets or focus group transcripts. The data can be analysed in a four-screen window with the help of codes and memos.

  5. Computer-assisted qualitative data analysis software - Wikipedia

    en.wikipedia.org/wiki/Computer-assisted...

    Computer-assisted (or aided) qualitative data analysis software (CAQDAS) offers tools that assist with qualitative research such as transcription analysis, coding and text interpretation, recursive abstraction, content analysis, discourse analysis, [1] grounded theory methodology, etc.

  6. ATLAS.ti - Wikipedia

    en.wikipedia.org/wiki/ATLAS.ti

    ATLAS.ti is a tool that supports locating, coding/tagging, and annotating features within bodies of unstructured data; it also offers visualization functions.The software is used by researchers in a wide variety of fields, and it supports data in text, graphical, audio, video, and geospatial format. [3]

  7. NVivo - Wikipedia

    en.wikipedia.org/wiki/NVivo

    NVivo is intended to help users organize and analyze non-numerical or unstructured data.Its developers state that it helps qualitative researchers to organize, analyze and find insights in unstructured or qualitative data like interviews, open-ended survey responses, journal articles, social media and web content, where deep levels of analysis on small or large volumes of data are required.

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