CMN 3102 Lecture Notes - Lecture 5: Data Mining, Content Analysis, Blind Experiment

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

Document Summary

Cmn3102 - survey research and sampling methods - 31/01/20. Important: you use a survey when you are sure of what you want to ask, how you want to ask it and if there"s no data already available on your chosen subject. Picking your questions: nominal questions(ex: sex, religion), ordinal questions(ex: level of education, social status), interval questions(ex: agree/disagree), ratio questions(ex: age) and open-ended questions(ex:long answers) Creating clear instructions: the questions should be understandable to the whole population. Study design: cross-sectional(different groups) or longitudinal(same group over long period) Data processing and analysis: make sure that statistically answer your hypothesis with your chosen questions. Pilot testing: test your survey on people to see if it"s appropriate. Interviewing: asking questions face-to-face or over the phone. Self-administration: the participant fills out the survey. Question (in a single sentence, what would you like to know when your project is done?) Check one: survey( )-content analysis( )-data mining( )-randomized study( )-nonrandom study( )