01:920:311 Lecture Notes - Lecture 3: Vehicle Insurance, Complement Factor B, Homicide

• School: Rutgers University
• Department: Sociology
• Course: 01:920:311
• Professor: Heather Babson

Document Summary

Note: start thinking about what i want to study for final project should be a social research question. Next week will write a hypothesis and identify variable i want to investigate. Ceteris paribus change in the iv leads to a change in the dv. Non-spurious: the control might (or might not) influence both, but there is still an. Iv-dv correlation (ex. parental income and highest degree/income later) Spurious: when a control is included there is no clear correlation (ex. ice cream with risk of homicide no relationship) Historical chain reactions: factor a causes factor b focuses factor c, etc, unending chain of causation , gender influenced miles driven, miles driven influenced risk of car crashes, car crashes can influence car insurance, cost, etc. Additive effects: more than one cause not does mean that a relationship is spurious. Threshold effects: one variable may be a cause for another but only after it reaches a certain threshold.