<p><span>Sample design is key to all surveys, fundamental to data collection, and to the analysis and interpretation of the data. </span><span>Introduction to Survey Sampling, Second Edition</span><span> provides an authoritative and accessible source on sample design strategies and procedures that
Introduction to survey sampling
โ Scribed by Dr. Graham Kalton
- Publisher
- Sage Publications
- Year
- 1983
- Tongue
- English
- Leaves
- 96
- Series
- Sage university papers series. Quantitative applications in the social sciences 07-035
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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.
๐ SIMILAR VOLUMES
This text brings together important ideas on the model-based approach to sample survey, which has been developed over the last twenty years. Suitable for graduate students and professional statisticians, it moves from basic ideas fundamental to sampling to more rigorous mathematical modelling and da
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 pr
How much is enough in your sample? What is the difference between a research question and a survey question? By exploring the answers to these questions, this book shows readers how to specify inclusion and exclusion criteria in a sample, select the appropriate probability and non-probability sampli
<P><EM>An Easy-to-Understand Treatment of Ecological Sampling Methods and Data Analysis</EM></P> <P></P> <P>Including only the necessary mathematical derivations, <STRONG>Introduction to Ecological Sampling</STRONG> shows how to use sampling procedures for ecological and environmental studies. It in