Evaluating and comparing profiles of burglaries developed using three statistical classification techniques: cluster analysis, multidimensional scaling, and latent class analysis

Fox, Bryanna; Escue, Melanie

doi:10.1080/1068316X.2021.1880582

Evaluating and comparing profiles of burglaries developed using three statistical classification techniques: cluster analysis, multidimensional scaling, and latent class analysis

While there are a variety of statistical classification techniques available, the most prominent in the behavioral sciences are Cluster Analysis (CA), Multidimensional Scaling (MDS), and Latent Class Analysis (LCA). Researchers often rely on person-oriented statistical classification techniques to i...

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Bibliographic Details
Authors:	Fox, Bryanna (Author) ; Escue, Melanie (Author)
Format:	Electronic Article
Language:	English
Published:	2022
In:	Psychology, crime & law Year: 2022, Volume: 28, Issue: 1, Pages: 34-58
Online Access:	Volltext (lizenzpflichtig)
Check availability:	HBZ Gateway
Keywords:	Typologies multidimensional scaling Latent Class Analysis Cluster Analysis classification techniques Burglary