Reviews sampling methods used in surveys: simple random sampling, systematic sampling, stratification, cluster and multi-stage sampling, sampling with probability proportional to size, two-phase sampling, replicated sampling, panel designs, and non-probability sampling. Kalton discusses issues of practical implementation, including frame problems and non-response, and gives examples of sample designs for a national face-to-face interview survey and for a telephone survey. He also treats the use of weights in survey analysis, the computation of sampling errors with complex sampling designs, and the determination of sample size.
This text brings together important ideas on the model-based approach to sample survey, which has been developed over the last twenty years.
Written for students and researchers who wish to understand the conceptual and practical aspects of sampling, this book is designed to be accessible without requiring advanced statistical training.
The three parts of this book on survey methodology combine an introduction to basic sampling theory, engaging presentation of topics that reflect current research trends, and informed discussion of the problems commonly encountered in ...
An Introduction to Survey Research is for those who want an overview of the survey process.
Cohen , J. E. ( 1976 ) . The distribution of the chi - squared statistic under clustered sampling from contingency tables . Journal of the American Statistical Association 71 , 665- 670 . Cohen , S. B. , Burt , V. L. , and Jones , G. K. ...
Geist, J., Wilkinson, R. A., Janet, S., Brother, P. J., Hammond, B., Larsen, N. W., Clear, R. M. S., Matsqui, M. J., Burges, C. J. C., Creecy, R., Hull, J. J.,Vogl,T. P., and Wilson, C. L. (1994), The Second Census Optical Character ...
Battese, G., Harter, R. and Fuller, W. (1988). An error-components model for prediction of county crop areas using survey and satellite data. Journal of the American Statistical Association, 83, 28–36. Bardsley, P. and Chambers, ...
In this first volume, the authors concentrate on the fundamentals of survey development and design as well as provide a review of key components in survey.
An introduction to the essentially mathematical principles of survey sampling as they are applied in practice.
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 ...