An Evaluation of Alternative PC-Based Software Packages Developed for the Analysis of Complex Survey Data

Cohen, Steven B.

doi:10.2307/2684908

Cited by 12 publications

References 1 publication

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Sampling, Environmental

Stehman¹,

Overton²

2001

Encyclopedia of Environmetrics

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Environmental sampling is the science of collecting and analyzing data to address questions in diverse fields, such as ecology, environmental engineering, environmental policy, fisheries, forestry, and wildlife science. The goal of sampling is to describe collective properties of populations defined as a universe. These collective properties are estimated using information from a subset of the universe called the sample. The universe may consist of discrete objects such as lakes, wetlands, stream segments, forest stands, plant or animal populations, environmental organizations, or recreational users, or it may be defined spatially, for example by delineating an area on a map. Environmental sampling objectives typically address questions of status and/or trend. Status refers to current values of population attributes. How many acidic lakes are there in the northeast US potentially sensitive to acidification and what are their characteristics? How many individuals of a rare plant population exist, and what is the geographical distribution of this population? What is the status of a nation’s wetlands? Trend focuses on how populations are changing over time. Are certain amphibian populations declining in South American forests? Is tree disease increasing following a damaging ice storm? How much agricultural land is being converted to residential and commercial use?

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Sampling, Environmental

Stehman¹,

Overton²

2001

Encyclopedia of Environmetrics

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Complex sample design effects and inference for mental health survey data

Heeringa

Liu

1998

Int J Methods Psych Res

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Mental health researchers world‐wide are using large‐scale sample survey methods to study mental health epidemiology and services utilization in general, non‐clinical populations (Alegria et al. in press). This article reviews important statistical methods and software that apply to descriptive and multivariate analysis of data collected in sample surveys. A comparative analysis of mental health surveys in international locations is used to illustrate analysis procedures and ‘design effects’ for survey estimates of population statistics, model parameters and test statistics. This article addresses the following questions. How should a research analyst approach the analysis of sample survey data? Are there software tools available to perform this analysis? Is the use of ‘correct’ survey analysis methods important to interpretation of survey data? It addresses the question of approaches to the analysis of complex sample survey data. The latest developments in software tools for the analysis of complex sample survey data are covered, and empirical examples are presented that illustrate the impact of survey sample design features on the interpretation of confidence intervals and test statistics for univariate and multivariate analyses. Copyright © 1998 Whurr Publishers Ltd.

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A Handbook of Statistical Analyses Using Stata, 2ndedn,Sophia Rabe‐Hesketh and Brian Everitt,Chapman&Hall/CRC,London,U.K.,1998. No. of pages: xi+215. Price:£19.95. ISBN 0‐849‐30387‐7

Hoffmann

2002

Statistics in Medicine

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An Evaluation of Alternative PC-Based Software Packages Developed for the Analysis of Complex Survey Data

Cited by 12 publications

References 1 publication

Sampling, Environmental

Sampling, Environmental

Complex sample design effects and inference for mental health survey data

A Handbook of Statistical Analyses Using Stata, 2ndedn,Sophia Rabe‐Hesketh and Brian Everitt,Chapman&Hall/CRC,London,U.K.,1998. No. of pages: xi+215. Price:£19.95. ISBN 0‐849‐30387‐7

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