CMN 2101 Lecture Notes - Lecture 9: Human Communication, Operationalization, Heavy Metal Music

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

Document Summary

Lecture 9 - quantitative vs. qualitative data analysis i. Both use public process to describe in detail. Analyze data so we can replicate the data. Both avoid errors and false conclusions (validity & reliability: quan looks at validity, qual more focused on authenticity. Quan uses a few shared, standardized techniques. Qual researchers focus on specific cases and contexts. Quan analyzes after all data is collected: quan = done. Qual begins data analysis while still collecting: qual researchers analyze their data as they"re collecting it. Quan - tests pre-existing theories and hypotheses. Qual conceptualizes and builds a new theory. Ex: surveys - every q has a code and when it"s inputted on a program, it doesn"t tell you anything. Qual (researchers) - imprecise, relatively concrete data: collecting concrete pieces of information - ex: interviews. Before analyzing qualitative data, it must first be organized.