Data/hora: 26/07/2024 22:52:22

Provedor de dados: 	Research in Agricultural & Applied Economics (AgEcon Searh)	
País: 	United States	
Título: 	A survey on survey statistics: What is done and can be done in Stata	
Autores: 	Kreuter,   Frauke; Valliant,   Richard.	
Data: 	2011-12-27	
Ano: 	2007	
Palavras-chave: 	Cluster sampling; Complex design; Nonresponse; Stratified sampling; Variance estimation; Weights; DEFECT; NHANES; NHIS; PISA; Research Methods/ Statistical Methods.	
Resumo: 	This article will survey issues in analyzing complex survey data and describe some of the capabilities of Stata for such analyses. We will briefly review key elements of survey design and explain the effects of different design features on bias and variance. We compare different methods of variance estimation for stratified and clustered samples and discuss the handling of survey weights. We will also give examples for the practical importance of Stata’s survey capabilities.	
Tipo: 	Article	
Idioma: 	Inglês	
Identificador: 	st0118

http://purl.umn.edu/119252	
Relação: 	Stata Journal&gt;Volume 7, Number 1, 1st Quarter 2007	
Formato: 	21