PSYCH 209 Lecture 7: Wk3 Lecture 1 Correlation Research
Document Summary
Examine whether association exist between naturally occurring variables b. Assess whether x and y are associated c. More specifically: an association involving quantitative date d. Positive correlation: as x changes, y changes in the same direction. Example: (+) height and weight (+) high school gpa and college gpa (+) happiness and satisfaction w/social relationships w. Negative correlation: as x changes, y trends to change in opposite direction. Example: (-) bedtime and sleep duration (-) monthly daylight and sad symptoms (more light ------ fewer sad symptoms) (-) happiness and time spent alone (-) neuroticisms and conscientiousness e. Pearson"s r: measures linear relation between two variables. Ex. (r = -0. 57 stronger than + 0. 44) iv. Is there a relations between people"s degree of fomo and amount of social media use? social media use? a. Each data point shows the intersection of x and y values for a particular case or cases. We cannot draw clear causal conclusions from correlation data.
