HyperResearch
MAXQDA
ATLAS.ti
NVivo
Taguette
Quirkos
RQDA
CATMA
QualCoder
ATLAS.ti
MAXQDA
NVivo
Taguette
RQDA
CATMA
Dedoose
QualCoder is free, open source software for qualitative data analysis. You can code text, images, audio and video, write journal notes and memos. Categorise codes in a tree-like hierarchical categorisation scheme. Coding for audio and video requires the VLC media player. VLC must be installed for QualCoder to work with audio and video data. Coder comparison reports can be generated for text coding. A graph displaying codes and categories can be generated to visualise the coding hierarchy. Most reports can be exported at html, open document text (ODT) or as plain text files.
HyperResearch QualCoderHyperRESEARCH is an outstanding application for researchers, analysts, or grad students doing qualitative data analysis: 1) It is cross-platform (Windows, Mac, and will run in Linux in WINE); 2) It is priced lower than competitors and offers the same features; 3) Offers an excellent licensing agreement that enables users to install it on several computers and the license does not expire.
Users can manually add codes to documents and quickly. HyperRESEARCH can also run an automated function that will assign codes based on user-specified criteria. Auto-coding can be a good starting point to see trends in the data and develop a comprehensive code base. After coding, users can create reports that show all incidents of text coded with a specific code, or combinations of codes. Analyzing the coded data will help reveal trends in complex collections of text, photos and video.
While HyperResearch lacks some of the newest features offered by several major products (e.g. AtlastTI, Nvivo), this is a minor drawback that is completely negated by the software's advantage: simplicity, low cost, and generous licensing terms that are especially beneficial to students. For students who need a non-expiring license for a long-term project, HyperResearch stands above the rest.
I used Qualcoder to code 100 hours of public hearings transcripts and I found it a very pleasant experience. The workflow is intuitive and quick. Even though some transcripts went over 150.000 characters, I was using about 50 codes, and have transcripts with over 100 different coded segments, the program remained stable. Using the | character in the search field allows for the use of multiple keywords at once, which was very effective. The report function allows you to produce overviews of interview segments per code and various kinds of statistical analysis, which can be integrated with R-Studio. Many thanks to Dr. Colin Curtain for the development and software support.
QualCoder is one of the best CAQDAS I have used not just because it is free and open source but also because of the functionalities and constant improvements.
I really like using QualCoder 3.0 for its ease of use and intuitive interface.
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RQDA - RDQA is a R package for Qualitative Data Analysis, a free (free as freedom) qualitative analysis...
