Data/hora: 05/06/2024 02:53:07

Provedor de dados: 	31	
País: 	United States	
Título: 	Multivariate Statistical Techniques	
Autores: 	Pauw,   Kalie.	
Data: 	2006-03-16	
Ano: 	2003	
Palavras-chave: 	Research Methods/ Statistical Methods.	
Resumo: 	This paper serves as an overview of various multivariate statistical techniques that can be used to analyse and describe survey datasets. Such analyses are useful for gaining a better understanding of results and the interpretation thereof. In particular this paper evaluates some of the standard statistical techniques that can be used to analyse consumption patterns of households, both in terms of expenditure on individual goods or baskets of goods. The ultimate aim is to determine whether these techniques – e.g. multivariate tests of significance and cluster analysis techniques – can be successfully employed to assist in forming representative household groups in terms of expenditure patterns. As such this paper is exploratory and does not aim to obtain final results. It is envisaged that more comprehensive research will be done at a later stage of the project. Initial findings suggest that there is merit in using multivariate statistical techniques to form representative household groups, although certain constraints and problems may be encountered.	
Tipo: 	Working or Discussion Paper	
Idioma: 	Inglês	
Identificador: 	20379

http://purl.umn.edu/15613	
Editor: 	AgEcon Search	
Relação: 	PROVIDE Project&gt;Background Paper Series

Background Paper 2003: 1	
Formato: 	23

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