Presented By: Summer Institute in Survey Research Techniques
Methods of Survey Sampling - Summer Institute in Survey Research Techniques
Course presented by Raphael Nishimura and Sunghee Lee
Methods of Survey Sampling
Raphael Nishimura and Sunghee Lee
June 3-July 26, 2024
T/Th (9:00am-11:00am)
Classes are open for registration. You do not have to be affiliated with the University in order to attend.
The mission of the Summer Institute in Survey Research Techniques (SISRT) is to provide rigorous and high quality graduate training in all phases of survey research. The program teaches state-of-the art practice and theory in the design, implementation, and analysis of surveys.
Space is limited so please register early! Since our courses are not for academic credit, fees are based on the number of assigned “course hours” to each class.
Please view the 2024 course schedule for our extensive class offerings. Classes are offered remotely at their scheduled times.
A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.
Why take this course?
To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
To be able to identify and appropriately apply sampling techniques to survey design problems
To be able to compute the sample size for a variety of sample designs
To understand and be able to assess the impact of the sample design on survey estimates
To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report
Raphael Nishimura and Sunghee Lee
June 3-July 26, 2024
T/Th (9:00am-11:00am)
Classes are open for registration. You do not have to be affiliated with the University in order to attend.
The mission of the Summer Institute in Survey Research Techniques (SISRT) is to provide rigorous and high quality graduate training in all phases of survey research. The program teaches state-of-the art practice and theory in the design, implementation, and analysis of surveys.
Space is limited so please register early! Since our courses are not for academic credit, fees are based on the number of assigned “course hours” to each class.
Please view the 2024 course schedule for our extensive class offerings. Classes are offered remotely at their scheduled times.
A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.
Why take this course?
To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
To be able to identify and appropriately apply sampling techniques to survey design problems
To be able to compute the sample size for a variety of sample designs
To understand and be able to assess the impact of the sample design on survey estimates
To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report
Cost
- Fees are based on duration of the course. Please see Summer Institute website.
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