Why would a cluster sample lead to lower data collection costs as compared to a simple random sample or a stratified probability sample. What is a design effect?
This homework explores different kinds of approaches to drawing a sample including questions on simple random samples, stratified probability samples and cluster samples
. The most common approach to drawing a sample used by Federal statistical agencies and the private sector alike is using a stratified probability sampling technique with a clustered sample design.
When you are ready to submit your homework assignment use the “Module 4 Homework – Types of Sampling” link above. Remember to enter your answers in a single MS Word document. Note: When creating files, include the module number followed by your last name and first initial. Also, please be sure to only include one period in file names. The period should be between the file name and the extension.
For example, Jim Smith submits his document for the assignment in Module 4 and uses the following naming convention: M04_Assign_SmthJ.doc The homework assignment questions are as follows: Please provide a definition of a simple random sample, a stratified probability sample and a cluster sample
. Why would a cluster sample lead to lower data collection costs as compared to a simple random sample or a stratified probability sample.
What is a design effect?
For any given cluster design, is it true that the greater the degree of heterogeneity among the members of each cluster, the more the sample drawn for a study will resemble a simple random sample, and the smaller the design effect.