SOC200H1 Lecture Notes - Lecture 4: Operationalization, Nanny, Dependent And Independent Variables
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Measurement how we measure the concepts to see if they"re correlated. Last week we learned about how to prove causation: so correlation, slide, slide. Spuriousness-hold it constant a variable must vary: it must be constant. You"ll probably be taking the first step of showing correlation causal relationship you don"t have data: less strong in a graph = less steep = partial spuriousness. Eg) one mechanism people with more education = seen as more skilled by employers. Important for papers a story or account of how one thing causes another. Ex) working fewer hours for pay causes better grades. Ex2) living in a city causes better health. Ie) walking more than driving due to the city life. Ex 3) having kids causes less sleep: kids cry, kids need prep work wake up early. Education (independent variable) + credentials (intervening variable) + income (slide)
