Emotions Take Shape: A PaCMAP Dimensionality Reduction and Latent Cluster Validation of the Difficulties in Emotion Regulation Scale

We devised a dimensionality reduction and cluster analysis framework to validate the construct accuracy of the Difficulties in Emotion Regulation Scale. Given a diverse survey sample (N=4,483), four latent classes were identified and successfully validated against machine learning and clinical observations, suggesting construct accuracy and wider framework application.