Consequences of analysing complex survey data using inappropriate analysis and software computing packages

S. T. Wang; M. L. Yu; L. Y. Lin

doi:10.1016/S0033-3506(97)00045-0

Consequences of analysing complex survey data using inappropriate analysis and software computing packages

S. T. Wang, M. L. Yu, L. Y. Lin

老年學研究所

研究成果: Article › 同行評審

8 引文斯高帕斯（Scopus）

摘要

In the analysis of complex survey data such as stratified multi-stage cluster samples, ignoring the design effects such as clustering and stratification usually will lead to erroneous conclusions. In this paper, we will demonstrate the consequences in the estimation of means and proportions by two examples from a stratified two-stage cluster sample. A brief review of methodology will be presented, and some suggestions on computational issues will be provided.

原文	English
頁（從 - 到）	259-262
頁數	4
期刊	Public Health
卷	111
發行號	4
DOIs	https://doi.org/10.1016/S0033-3506(97)00045-0
出版狀態	Published - 1997

All Science Journal Classification (ASJC) codes

公共衛生、環境和職業健康

UN SDG

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10.1016/S0033-3506(97)00045-0

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abstract = "In the analysis of complex survey data such as stratified multi-stage cluster samples, ignoring the design effects such as clustering and stratification usually will lead to erroneous conclusions. In this paper, we will demonstrate the consequences in the estimation of means and proportions by two examples from a stratified two-stage cluster sample. A brief review of methodology will be presented, and some suggestions on computational issues will be provided.",

author = "Wang, {S. T.} and Yu, {M. L.} and Lin, {L. Y.}",

note = "Funding Information: We would like to thank Donald Brogan, Ph.D. for her enjoyable teaching of sample survey that helped us greatly in writing this paper. This study was in part supported by the National Science Council (NSC 82-0412-B006-079T), Taiwan, R.O.C.",

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doi = "10.1016/S0033-3506(97)00045-0",

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AU - Yu, M. L.

AU - Lin, L. Y.

N1 - Funding Information: We would like to thank Donald Brogan, Ph.D. for her enjoyable teaching of sample survey that helped us greatly in writing this paper. This study was in part supported by the National Science Council (NSC 82-0412-B006-079T), Taiwan, R.O.C.

PY - 1997

Y1 - 1997

N2 - In the analysis of complex survey data such as stratified multi-stage cluster samples, ignoring the design effects such as clustering and stratification usually will lead to erroneous conclusions. In this paper, we will demonstrate the consequences in the estimation of means and proportions by two examples from a stratified two-stage cluster sample. A brief review of methodology will be presented, and some suggestions on computational issues will be provided.

AB - In the analysis of complex survey data such as stratified multi-stage cluster samples, ignoring the design effects such as clustering and stratification usually will lead to erroneous conclusions. In this paper, we will demonstrate the consequences in the estimation of means and proportions by two examples from a stratified two-stage cluster sample. A brief review of methodology will be presented, and some suggestions on computational issues will be provided.

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JF - Public Health

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ER -

Consequences of analysing complex survey data using inappropriate analysis and software computing packages

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All Science Journal Classification (ASJC) codes

UN SDG

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