PSC In The News
Geronimus discusses causes, potential solutions to racial disparities in infant mortality
Highlights
Arline Geronimus wins Excellence in Research Award from School of Public Health
Yu Xie to give DBASSE's David Lecture April 30, 2013 on "Is American Science in Decline?"
U-M grad programs do well in latest USN&WR "Best" rankings
Sheldon Danziger named president of Russell Sage Foundation
Back in September
Follow us Course Description
Methods and Theory of Sample Design
Sociology 717
3 credit hours, offered biennially
This course is concerned with the theory underlying methods of survey sampling widely used in practice. It covers basic techniques of simple random sampling, stratification, systematic sampling, cluster and multi-stage sampling, and probability proportional to size sampling. It also examines methods of variance estimation for complex sample designs, including Taylor series expansions, balanced repeated replications, and jackknife methods. It covers specialized topics, including stratification and subclasses, multi-phase or double sampling, ratio estimation, selection with unequal probabilities without replacement, non-response adjustments, imputation, and small area estimation. The course examines both practical applications of sampling techniques as well as the theory supporting the methods.
This page is for general use only. Please see the appropriate departmental course catalog for current registration requirements information.