Analysis of Survey Data

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. Concerned with the statistical methods for the analysis of sample survey data, this book will update and extend the successful book edited by Skinner, Holt and Smith on 'Analysis of Complex Surveys'. The focus will be on methodological issues, which arise when applying statistical methods to sample survey data and will discuss in detail the impact of complex sampling schemes. Further issues, such as how to deal with missing data and measurement of error will also be critically discussed. There have significant improvements in statistical software which implement complex sampling schemes (eg SUDAAN, STATA, WESVAR, PC CARP ) in the last decade and there is greater need for practical advice for those analysing survey data. To ensure a broad audience, the statistical theory will be made accessible through the use of practical examples. This book will be accessible to a broad audience of statisticians but will primarily be of interest to practitioners analysing survey data. Increased awareness by social scientists of the variety of powerful statistical methods will make this book a useful reference. Preface.

List of Contributors.

Introduction (R. L. Chambers & C. J. Skinner).

PART A: APPROACHES TO INFERENCE.

Introduction to Part A (R. L.Chambers).

Design-based and Model-based Methods for Estimating Model Parameters(David A. Binder and Georgia R. Roberts).

The Bayesian Approach to Sample Survey Inference (Roderick J. Little).

Interpreting a Sample as Evidence about a Finite Population (Richard Royall).

PART B: CATEGORICAL RESPONSE DATA.

Introduction to Part B (C. J.Skinner).

Analysis of Categorical Response Data from Complex Surveys: an Appraisal and Update (J. N. K. Rao and D. R. Thomas).

Fitting Logistic Regression Models in Case-Control Studies with Complex Sampling (Alastair Scott and Chris Wild).

PART C: CONTINUOUS AND GENERAL RESPONSE DATA.

Introduction to Part C (R. L.Chambers).

Graphical Displays of Complex Survey Data through Kernel Smoothing (D. R. Bellhouse, C. M. Goia, and J. E. Stafford)

Nonparametric Regression with Complex Survey Data (R. L. Chambers, A. H. Dorfman and M. Yu. Sverchkov).

Fitting Generalized Linear Models under Informative Sampling (Danny Pfeffermann and M. Yu. Sverchkov).

PART D: LONGITUDINAL DATA.

Introduction to Part D (C. J.Skinner).

Random Effects Models for Longitudinal Survey Data (C. J.Skinner and D. J.Holmes).

Event History Analysis and Longitudinal Surveys (J. F. Lawless).

Applying Heterogeneous Transition Models in Labour Economics: the Role of Youth Training in Labour Market Transitions (Fabrizia Mealli and Stephen Pudney).

PART E: INCOMPLETE DATA.

Introduction to Part E (R. L.Chambers).

Bayesian Methods for Unit and Item Nonresponse (Roderick J. Little).

Estimation for Multiple Phase Samples (Wayne A. Fuller).

Analysis Combining Survey and Geographically Aggregated Data (D. G. Steel, M. Tranmer and D. Holt).

References.

T. M. F.Smith: Publications up to 2002.

Author Index.

Subject Index.

R. L. Chambers is the editor of Analysis of Survey Data, published by Wiley.

C. J. Skinner is the editor of Analysis of Survey Data, published by Wiley. Recent years have seen a sharp increase in the application of sophisticated statistical modelling methods to sample survey data. Analysis of Survey Data aims to provide a solid basis for the statistical theory underpinning these applications. This book brings together two key statistical traditions, statistical modelling - such as regression analysis - and sample survey methods, as used for sample design and estimation.

• Provides broad coverage of statistical methodology used in the analysis of survey data.
• Discusses the theoretical foundations of this methodology from a range of perspectives.
• Covers of a wide range of techniques, including categorical data analysis, generalized linear models, and longitudinal data analysis.
• Addresses issues of complex sampling and incomplete data.
• Features examples showing how methods are used in practice.
• Each chapter is written by a leading expert in the field.
• Includes an up-to-date bibliography.

Analysis of Survey Data is aimed primarily at statisticians interested in methods of analysing sample survey data. It should also provide a useful reference to many other survey data analysts in the social sciences and in the public and private sectors.