SOC100H5 Lecture Notes - Lecture 2: Dependent And Independent Variables, Content Analysis
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SOC100H5 Full Course Notes
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Literature review -> do original research, make contribution to a specific field. Variable: concept that takes on more than one value (ex. Dependent variable: the effect in a cause-and-effect relationship. Independent variable: the cause in a cause-and-effect relationship. Example: researcher looking to see impact of divorce on child likelihood to become juvenile. Causation when one thing definitely causes another thing to happen (ex. Social media usage has an impact on gpa) Association whe(cid:374) there"s a change in these variables, cannot say one caused another (ex. As so(cid:272)ial (cid:373)edia usage i(cid:374)(cid:272)reases, gpa de(cid:272)reases (cid:374)ot sayi(cid:374)g o(cid:374)e (cid:272)aused a(cid:374)other) Qualitative information in form of words/images (non-numerical) ex. Population the entire group the researcher wants to generalize. Sample population of interest that is selected for analysis. 2 ways to move from population to sample: Probability sampling (random sampling): everyone in a population has an equal chance of being sampled, completely random. 500 players) -> actually sample 50 players to find data.
