Sociology 2206A/B Lecture Notes - Lecture 2: Measurement Problem, Fallacy
19 Oct 2017
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Baconian fallacy: assuming that the researcher operates without preconceived ideas, assumption, theories or presumptions of any kind. You should state your biases in advance so people can evaluate with that in mind. We ca(cid:374)"t agree o(cid:374) what thi(cid:374)gs are. We ca(cid:374)"t agree o(cid:374) how to (cid:373)easure those thi(cid:374)gs: measurement problem. Our error rate is very big because we have weak variables: they are either nominal or ordinal, ex) gender, race, religion, weak research designs. Always want to meet causality: have to have a relationship, between the 2 variables, time precedence, a lack of spuriousness (fake, has to be a real relationship. Best way to prove causality is through an experiment: manipulate the independent variable and see what happens to the dependant variable. Probabilistic science: how probable we are of an event to occur. Allow us to tie together our theories with mathematics. **does gender have a bigger effect on the sentence or does the crime? sentence.
