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docs/about.md

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QualCoder developer
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-------------------
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# About the author(s)
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Colin Curtain BPharm GradDipComp PhD.
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Hello, my name is Colin Curtain and I am a lecturer from Australia. I have many interests including clinical pharmacy, computer programming, research, statistics and clinical decision support. I completed a PhD evaluating computerised clinical decision support in 2014. When doing my PhD I used R as the statistics program of choice. This is where my interest in qualitative data analysis and the use of RQDA came from, which ultimately led to this project.
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[![](https://qualcoder.wordpress.com/wp-content/uploads/2024/07/image-6.png?w=247)](https://qualcoder.wordpress.com/wp-content/uploads/2024/07/image-6.png)
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<https://scholar.google.com/citations?user=KTMRMWoAAAAJ&hl=en>
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**Published papers**
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Originally when doing my PhD I analysed qualitative survey data via a thematic approach using RQDA. After some installation difficulties with RQDA, I thought this could be reproduced in Python. I thought I would share QualCoder in the hope that it may help others. I generally work with Linux, and Windows. I work on the programming for this in my spare time, as a hobby.
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<https://scholar.google.com/citations?user=KTMRMWoAAAAJ&hl=en>
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If you use QualCoder and publish your results, I would really appreciate it if you can let me know.
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**Academic profile**
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======
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<https://discover.utas.edu.au/Colin.Curtain>
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Since version 3.6 Dr Kai Dröge has been heavily involved with Qualcoder development, particularly with aritificial intelligence features and more
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### Share this:
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**Dr. rer. soc. Kai Dröge,** [University for Applied Science](https://www.hslu.ch/de-ch/hochschule-luzern/ueber-uns/personensuche/profile/?pid=823), Lucerne, Switzerland and [Institute for Social Research](https://www.ifs.uni-frankfurt.de/personendetails/kai-droege.html) Frankfurt, Germany. Kai is an experienced researcher and teacher of qualitative methods. His research interests are wide-ranging and include the sociology of emotions and intimate relationships, digital life and new media, and questions of economic and labor sociology. Recently, he has focused on the methodological challenges and opportunities of integrating AI into qualitative research. He is also the creator of [noScribe](https://github.com/kaixxx/noScribe#readme), a popular open-source transcription tool aimed especially at qualitative interviews.
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- [X](https://qualcoder.wordpress.com/reports/?share=twitter&nb=1)
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- [Facebook](https://qualcoder.wordpress.com/reports/?share=facebook&nb=1)
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[![](https://qualcoder.wordpress.com/wp-content/uploads/2021/11/qualcoder256.png?w=256)](https://qualcoder.wordpress.com/wp-content/uploads/2021/11/qualcoder256.png)

docs/index.md

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What is QualCoder
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=================
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# What is QualCoder
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QualCoder is free, open source desktop software for qualitative data analysis.
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The most current QualCoder software is available from <https://github.com/ccbogel/QualCoder>. Software releases are available from: <https://github.com/ccbogel/QualCoder/releases> These contain source code and executables. The executables are an easy way to run QualCoder, double click to run, just be aware that it can take 10 to 20 seconds to open up. The minimum recommended screen size is 1024 x 600 pixels. For manual (Terminal or Command line) source code installation a minimum recommended python version is 3.10.
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Why use QualCoder?
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------------------
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## Why use QualCoder?
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**Qualcoder is free of charge**. Many qualitative analysis software requiring expensive one-time fees or monthly subscriptions. Not everyone can afford expensive fees.
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Note: There is an ongoing problem with audio/video coding on Linux Fedora -- the software crashes.
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Leave a review
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## Leave a review
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If you like QualCoder and found it useful for your work. Please leave a review on these sites:
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<https://alternativeto.net/software/qualcoder>
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Also, if you like QualCoder a lot, or have developed a novel use for it, please write an article about QualCoder.
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# Testing QualCoder
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It has taken many, many hours of work to create this software that is provided free to use. If you appreciate QualCoder please: [Buy me a coffee](https://www.buymeacoffee.com/ccbogelB)
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QualCoder is written in python 3 using Qt6 for the graphical interface. A minimum python version of 3.10 should be used. A minimum screen resolution of 1024×600 pixels is recommended. QualCoder has been used on Ubuntu 24.04 and other Linux distros, Windows 10, Windows 11 and MacOS. Testing is performed on Windows 11.

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