Sampling Survey Techniques and Application

Course No.: SMI1131001     Credit(s):3

Course Description

The objectives of this course are to teach basic ideas of sampling from an applied perspective. The course will cover the main techniques used in actual sampling practice — simple random sampling, stratification sampling, systematic sampling, cluster sampling, multistage sampling, and probability proportional to size sampling. The course will also cover sampling frames, cost models, sampling error estimation techniques, non-sampling errors, and computation for missing data.

Course Learning Outcomes

After studying the course, students can grasp the theoretical basis of sampling survey systematically and correctly, master several basic sampling methods and cultivate students^’ ability in combination with the actual situation of specific project sampling design, processing and analyzing the obtained data.

Relationship to Other Courses

Pre-requisites: Statistics, Probability Theory

Textbook and Reading Lists

Textbook:

Yongjin Jin, Sampling Survey (3rd edition). China Renmin University Press, 2012.

Suggested reading lists:

Shiyong Feng, Jiaxun Ni, Guo Zou, Theory and Methods of Sampling Survey (2nd edition). China Statistics Press, 2012.

Kish, Leslie, Survey Sampling. New York: Wiley, 1965.

William G. Cochran, Sampling Techniques (3rd edition). Wiley,1977,

Course Assessment

Course Schedule