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Analyzing complex survey data [electronic resource] /Eun Sul Lee, Ronald N. Forthofer.

By: Lee, Eun Sul.
Contributor(s): Forthofer, Ron N, 1944-.
Material type: materialTypeLabelBookSeries: Quantitative applications in the social sciences: no. 07-71.Publisher: Thousand Oaks, Calif. : Sage Publications, 2006Edition: 2nd ed.Description: 1 online resource (vii, 91 p.).ISBN: 9781441628183 (electronic bk.); 1441628185 (electronic bk.); 9781412983341; 1412983347.Subject(s): Mathematical statistics | Social surveys -- Statistical methods | Statistique math�ematique | Enqu�etes sociales -- M�ethodes statistiques | SCIENCE -- Research & Methodology | Survey-onderzoek | Data-analyse | Estat�istica | Coleta de dados (estat�isticas e dados num�ericos) | Ci�encias sociais | Mathematical statistics | Social surveys -- Statistical methodsGenre/Form: Electronic books.DDC classification: 001.4/22 Online resources: EBSCOhost
Contents:
Introduction -- Sample design and survey data -- Types of sampling -- The nature of survey data -- A different view of survey data -- Complexity of analyzing survey data -- Adjusting for differential representation: the weight -- Developing the weight by poststratification -- Adjusting the weight in a followup survey -- Assessing the loss or gain in precision: the design effect -- The use of sample weights for survey data analysis -- Strategies for variance estimation -- Replicated sampling: a general approach -- Balanced repeated replication -- Jackknife repeated replication -- The bootstrap method -- The Taylor series method (linearization) -- Preparing for survey data analysis -- Data requirements for survey analysis -- Importance of preliminary analysis -- Choices of the method for variance estimation -- Available computing resources -- Creating replicate weights -- Searching for appropriate models for survey data analysis -- Conducting survey data analysis -- A strategy for conducting preliminary analysis -- Conducting descriptive analysis -- Conducting linear regression analysis -- Conducting contingency table analysis -- Conducting logistic regression analysis -- Other logistic regression models -- Design-based and model-based analysis* -- Concluding remarks.
Summary: In this introduction to the different ways of analysing complex survey data, the authors consider new analytical approaches review new software and introduce a model-based analysis that can be used for well-designed and relatively small-scale social surveys.
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Includes bibliographical references (p. 83-87) and index.

Introduction -- Sample design and survey data -- Types of sampling -- The nature of survey data -- A different view of survey data -- Complexity of analyzing survey data -- Adjusting for differential representation: the weight -- Developing the weight by poststratification -- Adjusting the weight in a followup survey -- Assessing the loss or gain in precision: the design effect -- The use of sample weights for survey data analysis -- Strategies for variance estimation -- Replicated sampling: a general approach -- Balanced repeated replication -- Jackknife repeated replication -- The bootstrap method -- The Taylor series method (linearization) -- Preparing for survey data analysis -- Data requirements for survey analysis -- Importance of preliminary analysis -- Choices of the method for variance estimation -- Available computing resources -- Creating replicate weights -- Searching for appropriate models for survey data analysis -- Conducting survey data analysis -- A strategy for conducting preliminary analysis -- Conducting descriptive analysis -- Conducting linear regression analysis -- Conducting contingency table analysis -- Conducting logistic regression analysis -- Other logistic regression models -- Design-based and model-based analysis* -- Concluding remarks.

Description based on print version record.

In this introduction to the different ways of analysing complex survey data, the authors consider new analytical approaches review new software and introduce a model-based analysis that can be used for well-designed and relatively small-scale social surveys.

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