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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.
MAXQDA is designed for the use in qualitative, quantitative and mixed methods research. [2] The emphasis on going beyond qualitative research can be observed in the extensive attributes function (called variables in the programme itself) and the ability of the programme to deal relatively quickly with larger numbers of interviews [ which? ] .
Qualitative research is a type of research that aims to gather and analyse non-numerical (descriptive) data in order to gain an understanding of individuals' social reality, including understanding their attitudes, beliefs, and motivation.
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.
QDA Miner is mixed methods and qualitative data analysis software developed by Provalis Research. The program was designed to assist researchers in managing, coding and analyzing qualitative data. [1] QDA Miner was first released in 2004 after being developed by Normand Peladeau. The latest version 6 was released in September, 2020.
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]
Qualitative research methodologies are oriented towards developing an understanding of the meaning and experience dimensions of human lives and their social worlds. Good qualitative research is characterized by congruence between the perspective that informs the research questions and the research methods used. [2]
It has a tier-based data model that supports multi-level, multi-participant annotation of time-based media. It is applied in humanities and social sciences research (language documentation, sign language and gesture research) for the purpose of documentation and of qualitative and quantitative analysis. [3]