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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 a software program designed for computer-assisted qualitative and mixed methods data, text and multimedia analysis in academic, scientific, and business institutions. It is being developed and distributed by VERBI Software based in Berlin, Germany. MAXQDA is designed for the use in qualitative, quantitative and mixed methods research. [2]
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.
There are few features for quantitative or statistical analysis of text data, however project files can be exported for analysis in statistical software such as SPSS or R. Quirkos is extensively used in many different fields which utilise qualitative research , including sociology , [ 7 ] health, [ 8 ] [ 9 ] media studies , [ 10 ] school of ...
Mondrian – data analysis tool using interactive statistical graphics with a link to R; Neurophysiological Biomarker Toolbox – Matlab toolbox for data-mining of neurophysiological biomarkers; OpenBUGS; OpenEpi – A web-based, open-source, operating-independent series of programs for use in epidemiology and statistics based on JavaScript and ...
The Qualitative Data Analysis Program (QDAP) was founded in 2005 at the University of Pittsburgh in the University Center for Social and Urban Research. QDAP is a fee-for-service research laboratory that develops software and methods to support multi-coder annotation projects.
This is a list of statistical procedures which can be used for the analysis of categorical data, also known as data on the nominal scale and as categorical variables. General tests [ edit ]
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]
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