Please use this identifier to cite or link to this item: http://arl.liuc.it/dspace/handle/2468/4326
Title: Use of ICC for defining the optimal clustering solution under normality assumption
Authors: Boari, Giuseppe
Nai Ruscone, Marta
Issue Date: 2012
Publisher: Cleup
Bibliographic citation: Boari Giuseppe, Nai Ruscone Marta (2012), Use of ICC for defining the optimal clustering solution under normality assumption. In: Analysis and modeling of complex data in behavioural and social sciences: book of short paper. Padova: Cleup. ISBN 978-88-6129-916-0.
Abstract: The intraclass correlation coefficient r is frequently used to measure the degree of intragroup resemblance (for example of characteristics such as blood pressure, weight and height). A definition of the intraclass correlation coefficient is given on the basis of a normal random effect model. The theory concerning r is wellestablished for single variables analysis (Sheff´e, 1959; Rao, 1973). We propose to consider a multiple test procedure in order to define the optimal clustering solution under normality assumption of the involved variables, using the test of null intraclass correlation.
URI: http://arl.liuc.it/dspace/handle/2468/4326
Journal/Book: Analysis and modeling of complex data in behavioural and social sciences: book of short paper
ISBN: 978-88-6129-916-0
Appears in Collections:Contributo in atti di convegno

Files in This Item:
File Description SizeFormat 
4326.pdf
  Restricted Access
94,63 kBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.