Person-Centered Analysis
Create profiles of observed variables using two-step cluster analysis
Identifies potential outliers
Estimates R^2 (r-squared) values for a range of number of profiles
Return plot of profile centroids
Prints details of prcr cluster solution
Concise summary of prcr cluster solution
Provides an easy-to-use yet adaptable set of tools to conduct person-center analysis using a two-step clustering procedure. As described in Bergman and El-Khouri (1999) <DOI:10.1002/(SICI)1521-4036(199910)41:6%3C753::AID-BIMJ753%3E3.0.CO;2-K>, hierarchical clustering is performed to determine the initial partition for the subsequent k-means clustering procedure.