PSYC-241 Lecture Notes - Lecture 3: Calorie
2 May 2019
School
Department
Course
Professor
Document Summary
E. g) strong positive: insurance cost and car value. Mileage up and car value = strong negative. No correlation: car colour and value: correlational study logic: measuring variables to see correlations. R = 0: not supported: correlation =/= causation. E. g) hunger can reduce grades, but poor grades results in bad job and not enough money for food. Correlational studies don"t say which one it is. Longitudinal studies: measure variables in same people repeatedly over time. Not perfect, as depression can still cause both. They only test correlation: experimental logic: involves 3 things. Randomly assign participants to one condition of iv. Called "dependant variable" (dv): manipulation: x causes y. Treatment conditions: has active "ingredient" (e. g, hunger). Control conditions: no active "ingredient" (no hunger), random assignment rules out alternative explanations. Groups differ only on manipulation: experimental logic: "gold standard" for causation. E. g) practicality (e. g, gender) and ethically (e. g, smoking): drawbacks to experiments.
