Image from Google Jackets

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.
Tags from this library: No tags from this library for this title. Log in to add tags.

This record has many physical items (1). View all the physical items.

Browsing Illinois Leadership Center shelves Close shelf browser (Hides shelf browser)
HM5549.5.M63 B83 2001 Now, discover your strengths / HN9.V64M345 2012 The new breed : HN25.R37 2010 Well being : HN29 .L44 1989 Analyzing complex survey data / HN49.V64G38 2009 Showing up for life : HN65.P878 2000 Bowling alone : HN65.R85 2003 C.1 Rural communities :

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.

There are no comments on this title.

to post a comment.