Cluster Sampling Methods

Published

March 20, 2023

Learning Objectives

By the end of the week, learners will be able to:

  • Compare and contrast Cluster sampling design to SRS and Stratified
    • Identify correct estimates, errors and bounds for various parameters
    • Calculate estimates (point and interval) using equations

How to prepare

  • NA

Content Notes & Readings

Monday overview

  • What is Cluster Sampling (Lohr 5.1)
    • Reform working teams.

Wednesday overview

  • Analyzing data collected via cluster sampling using R

Friday overview

  • Open Work Day (project/notes/worksheet)

To Do

  • Submit personal notes for 5.1 by Monday.