CMN 2101 Lecture Notes - Lecture 8: Vise, Scientific Method, Simple Random Sample

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

Document Summary

Get involved in communication community outside of school (i. e. non-profit organizations) Everyday thinking (perception) involved limited sampling: leads to inaccurate generalizations. None of my friends liked that course: scientific thinking takes into account the complexities of our social reality, thus 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: hence, the sample is representative of that population. There are two basic ways to select a sample from the population: probability sampling (aka random sampling, non-probability sample (aka non-random sampling) Ensures that each member of the population has an equal chance of being selected. Deductive mathematical approach: smaller the population size, the bigger the sample size and vise versa, population below 500, sample size = 30, population over 150,000, sample size = 1, population over 10+ million, sample size = 0. 025%