snahvalabs / kade-q-methodology Goto Github PK

Download Links:   macOS  ||  Windows-installer  ||  Windows-portable  ||  Linux

(See installation instructions below.)

KenQ Analysis Desktop Edition (KADE) is a desktop application for the analysis of Q methodology data which operates with full functionality on Microsoft Windows, Apple macOS, and Linux operating systems. It has a graphic user interface that makes it easy to use for students or for researchers with a background mainly in qualitative methods. Installation is not required for use; KADE is portable and can be run from a usb flash drive. It includes a variety of interactive visualization tools to explore and analyze Q methodological data.

The current version is 1.2.1 (released Feb. 21, 2021). Changes in this version include:

• Spanish translations for UI
• Security updates
• Electron version update

Bug Fixes:

• Bipolar split table column size fix
• PCA first run no output fix
• JSON data export fix
• Single factor output fix

A reference guide and FAQs for each section are available here.

Comparisons of KADE and PQMethod results are available here.

1. Click the "1. Input" navigation button.
2. Click the "Demo Data" tab.
3. Click the "Load Lipset" button.
4. Click the "2. Data" navigation button and confirm that the data has loaded properly.
5. Click the "3. Correlations" navigation button.
6. Click the "Calculate Correlations" button.
7. Click the "4. Factors" navigation button.
8. Click the "Centroid Factors" button or "Principal Components" button.
9. Click the "5. Rotation" navigation button.
10. Click the dropdown select to choose the number of factors and then click "Submit".
11. Click the "Varimax" tab or the "Judgemental" tab.
12. For Varimax rotation, click the "Varimax Rotation" button.
13. For Judgmental rotation, click the "Initialize Judgmental Rotation" button. Then select two factor buttons and "Display". After rotation click the "Save Rotation" button to make the rotation permanent.
14. Click the "6. Loadings" navigation button.
15. Click the "Auto-Flag" button, or select participant loadings individually.
16. Click the "Send Table Data to Output".
17. Click the "7. Output" button, then click the "Options" tab.
18. Select the factors to output, then click "Submit".
19. Click the "Factor Characteristics", "Factors Table", or "Factor Visualizations" tabs to view analysis results.
20. Click the "Options" tab, then click the "Excel File" button or "CSV File" button to download the analysis results.

   1. Double click the downloaded file.

   2. In the Windows warning box, click the "More info" link in the text at the top of the warning box.

   1. Double click the downloaded file.

   2. Click and drag the KADE.app icon into the applications folder.

   1. Open "System Preferences"

   2. Click "Security & Privacy"

   3. Click "General"

   4. Click the lock in the bottom left and enter your password

   5. Under "Allow apps downloaded from:", select "App Store and identified developers"

The application is packaged as an "AppImage" so it can be installed on most of the major distributions (Ubuntu, Mint, MXLinux, Debian, openSUSE, RHEL, CentOS, Fedora, etc.) On some distributions it will offer to install the software.

1. Right click on the downloaded file.
2. Select "Properties".
3. Select "Permissions". (Example image from debian-based "MXLinux")

I have not integrated automatic updating functions into the application. To update you need to uninstall the old version, then download and install the new version.

• In Windows, click the "Start" button, then click "Settings", "Apps", "KADE", and select "uninstall"
• In macOS, use Finder to go to the "applications" folder and delete the KADE application
• In Linux, locate the AppImage file of the old version and delete it.

If you discover a problem with the software or want to make a feature request, please describe it on the issue tracker - https://github.com/shawnbanasick/kade/issues or email to [email protected]. Contributions are welcome. Make a pull request.

If you would like to volunteer to translate the user interface (about 400 words and phrases) into another language, please contact me at [email protected] Thanks to Nicolás Medina Silva for the Spanish translation!

Banasick, (2019). KADE: A desktop application for Q methodology. Journal of Open Source Software, 4(36), 1360, https://doi.org/10.21105/joss.01360

License: GPL-3

• PQMethod
• Pensieve R package
• Qmethod R package