Q for Factor Analysis (PCA)
Easily get factor analysis/ PCA done right
Factor Analysis / Principal Component Analysis should be quick and easy to do. Q makes it so.
Drag and drop variables to create a factor analysis / Principal Component Analysis (PCA).
Q is set up with the correct defaults for most problems: varimax rotation, lots of iterations, and the Kaiser Rule for selecting the number of components. If you’re an expert you can tweak things, but out-of-the-box it gets the job done the right way.
Once you have created your analysis you can have it automatically refresh with new data (e.g., a new clean data file, a new wave of a tracker). Alternatively, you can turn automatic updating off so you can compare to see how results have changed.
Automate manual tasks and create re-usable analysis and reports.
DIY advanced analysis and visualizations.
Manipulate your data with a couple of clicks.