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Analyzing complex survey data / Eun Sul Lee, Ronald N. Forthofer, Ronald J. Lorimer.

By: Contributor(s): Material type: TextTextSeries: Quantitative applications in the social sciences ; no. 07-071.Publication details: Newbury Park : Sage Publications, �1989.Description: 79 pages ; 22 cmISBN:
  • 0803930143
  • 9780803930148
Subject(s): Additional physical formats: Online version:: Analyzing complex survey data.DDC classification:
  • 001.4/225 20
LOC classification:
  • QA276 .L3394 1989
  • HN29 .L44 1989
NLM classification:
  • QA 276
Other classification:
  • 70.03
Online resources:
Contents:
1. Introduction -- 2. Sample design and survey data -- Types of sampling -- The nature of survey data -- 3. Survey data analysis -- Adjusting for differential representation: the weight -- Developing the weight: an example -- Assessing loss or gain of precision: the design effect -- 4. Strategies for variance estimation -- Replicated sampling: a general approach -- Balanced repeated replication -- Jackknife repeated replication -- The Taylor series method -- 5. Preparing for survey data analysis -- Importance of preliminary analysis -- Choices of the method for variance estimation -- Data requirements for weights and the design effect -- Available computing resources -- 6. Conducting a regression analysis -- The linear model for complex survey data -- An example of regression analysis from NHANES II -- 7. Conducting contingency table analysis -- The weighted least squares method for complex survey -- The WLS method: an example from NHANES II -- Log-linear models for complex survey data -- Log-linear (logit) models: an example from NHANES II -- WLS method and log-linear models: which to use? -- 8. Concluding remarks.
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Holdings
Item type Current library Call number Status Date due Barcode
Books Books Illinois Leadership Center HN29 .L44 1989 (Browse shelf(Opens below)) Available 4000001609

Includes bibliographical references (pages 75-78).

1. Introduction -- 2. Sample design and survey data -- Types of sampling -- The nature of survey data -- 3. Survey data analysis -- Adjusting for differential representation: the weight -- Developing the weight: an example -- Assessing loss or gain of precision: the design effect -- 4. Strategies for variance estimation -- Replicated sampling: a general approach -- Balanced repeated replication -- Jackknife repeated replication -- The Taylor series method -- 5. Preparing for survey data analysis -- Importance of preliminary analysis -- Choices of the method for variance estimation -- Data requirements for weights and the design effect -- Available computing resources -- 6. Conducting a regression analysis -- The linear model for complex survey data -- An example of regression analysis from NHANES II -- 7. Conducting contingency table analysis -- The weighted least squares method for complex survey -- The WLS method: an example from NHANES II -- Log-linear models for complex survey data -- Log-linear (logit) models: an example from NHANES II -- WLS method and log-linear models: which to use? -- 8. Concluding remarks.

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