CMN 2101 Lecture Notes - Lecture 8: Systematic Sampling, Quasi, Sample Size Determination

• School: University of Ottawa
• Department: Communication
• Course: CMN 2101
• Professor: Mohammed El Hashash

Document Summary

Sample: small set of cases a researcher selects from a large pool. Population: a large group of many cases from which researchers draw a sample results become generalized. Sampling in qualitative is to make categories, gain insight about subjects, usually non-probability sampling in qual. What if our friends did poorly in the course, were caught cheating, etc. Scientific thinking takes into account the complexities of our social reality. A proper sampling strategy helps support a sound and more accurate, less biased, account of reality. Quantitative scientific sampling involves a small set of cases a researcher selects from a large pool and generalizes to the population: the sample is representative of that population. There are two basic ways to select a sample from the population: probability sampling (random sampling, nonprobability sampling (non-random sampling) Convenience sampling: researcher selects anyone they come across.