Like many methods, those studying psychology use, factor analysis has a long history. The primary goal of factor analysis is to distill a large data set into a working set of connections or factors.

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Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

Purpose This paper presents two studies exploring the latent structure of item sets used in the development of the Recovering Quality of Life mental health outcome measures: ReQoL-10 and ReQoL-20.