HyperRESEARCH 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.
Based on our record, RQDA seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
For eg- RQDA is a qualitative data analysis package wherein you could visualise themes etc. Check - https://nsuworks.nova.edu/cgi/viewcontent.cgi?article=2659&context=tqr Https://rqda.r-forge.r-project.org/. Source: over 1 year ago
Because we're on a statistics subreddit, I have to mention there are a handful of packages for doing qualitative work in R - RQDA, Q-Coder, some others - but I would not recommend it if you're not already familiar with R, or at least some programming language. There are graphical interfaces that will serve you well. Source: over 1 year ago
I’m not familiar with RQDA, but I’m assuming that you mean this. Source: over 1 year ago
You might be better off with using something like RQDA: https://rqda.r-forge.r-project.org/. It seems that it hasn’t been updated since 2016, but there might be other alternatives. Source: over 1 year ago
QualCoder - A very complete Free and Open Source Software (FOSS) Computer-Assisted Qualitative Data Analysis Software (CAQDAS) written in Python. It works with text, images, and multimedia such as audios and videos.
MAXQDA - a professional software for qualitative and mixed methods data analysis
ATLAS.ti - ATLAS.ti is a powerful workbench for the qualitative analysis of large bodies of textual, graphical, audio and video data. It offers a variety of sophisticated tools for accomplishing the tasks associated with any systematic approach to "soft" data.
Taguette - A spin on the phrase "tag it!
NVivo - Buy NVivo now for flexible solutions to meet your specific research and data analysis needs.
Quirkos - Quirkos is a simple qualitative analysis software tool that helps to sort, manage and understand text data.