Analyzing Complex Survey Data
The design-adjusted Rao–Scott Pearson and likelihood ratio χ2 test statistics are computed as follows: XR2 − S ... the generalized design effect is defined as the mean of the eigenvalues of the following matrix, D: D = VDesign VSRS−1 ...
2, Madow, W., Olkin, I., and Rubin, D. (eds), pp. 249–333. New York: Academic Press. ... J. (2002). IVEware: Imputation and Variance Estimation Software: User Guide. Ann Arbor, MI: Institute for Social Research, University of Michigan.
This book is concerned with statistical methods for the analysis of data collected from a survey. A survey could consist of data collected from a questionnaire or from measurements, such as those taken as part of a quality control process.
The book begins with coverage of basic tools and topics within survey analysis such as simple and stratified sampling, cluster sampling, linear regression, and categorical data regression.
An accessible overview of modern methods applied to the analysis of statistical data from complex surveys. This unified account covers a broad range of approaches, discussing the relative merits of...
... of interpretation offered, or to opt instead for a generalized form of the model (Peterson and Harrell, 1990) or other modeling alternative that relaxes the equal slopes assumption but is far more complex and difficult to interpret.
Brewer , K. R. W. , & Mellor , R. W. ( 1973 ) . The effect of sample structure on analytical surveys . Australian Journal of Statistics , 15 , 145–152 . Brick , J. M. , & Kalton , G. ( 1996 ) . Handling missing data in survey research .
This extensively updated edition features much new material, and detailed practical exercises with links to a Web site, helping instructors and enabling use for distance learning. * Provides a comprehensive introduction to sampling and ...
A Statistical Methodology for Analyzing from a Complex Survey: The First National Health and Nutrition Examination Survey