CMN 3102 Lecture Notes - Lecture 3: Sampling Frame

• School: University of Ottawa
• Department: Communication
• Course: CMN 3102
• Professor: Elizabeth Dubois

Document Summary

Samara recruited participants online, worked with existing research company to pull participants randomly that was nationally representative. Oxis had in-person/door-to-door, representative of major regions of britain - random, stratified, and cluster based on postal code. An entire set of objects, observations, or scores that have some characteristic in common . Based on what we are examining; this is all of the things possible that you might want to talk to or about. People or units that a researcher actually includes in the study. You want a representative and generalizable population; but there is sometimes a population that is impossible to connect with. Sampling process: key steps: determine population - who do you want to generalize to, create a list of all members of the group - called a sampling frame. Identify method to select accessible members of the group. Non-probability: is not random, is not generalizable, unable to calculate sampling error.