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.
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.
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 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 ...
Key Features Covers all major facets of survey research methodology, from selecting the sample design and the sampling frame, designing and pretesting the questionnaire, data collection, and data coding, to the thorny issues surrounding ...
... University of Illinois at Urbana-Champaign Terri Shapiro, Hofstra University Ronald McGivern, Thompson Rivers University Terry Richardson, George Washington University Lisa Chiapetta, Dominican University of California Jon Lester, ...
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...
Statistical Methodologies for Analyzing a Complex Sample Survey
This is followed by a section on design that reviews sampling challenges and tips on writing and testing questions for multiple methods.
This book provides an overview of the key issues that arise in the measurement of health variables and living standards, outlines and explains essential tools and methods for distributional analysis, and, using worked examples, shows how ...