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 well established for single variables analysis (Sheffé, 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.
Lingua originale | English |
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Titolo della pubblicazione ospite | Analysis and Modeling of Complex Data in Behavioural and Social Sciences. Book of Short Paper |
Pagine | 1-4 |
Numero di pagine | 4 |
Stato di pubblicazione | Pubblicato - 2012 |
Evento | JCS-Cladag 2012. Joint Meeting of the Japanise Classification Society and the Italian Classification and Data Analyis Group - Anacapri Durata: 3 set 2012 → 4 set 2012 |
Convegno
Convegno | JCS-Cladag 2012. Joint Meeting of the Japanise Classification Society and the Italian Classification and Data Analyis Group |
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Città | Anacapri |
Periodo | 3/9/12 → 4/9/12 |
Keywords
- cluster analysis
- intraclass correlation coefficient