PSYC 310 Lecture Notes - Lecture 6: Mental Chronometry, Face Validity, Effect Size

• School: McGill University
• Department: Psychology
• Course: PSYC 310
• Professor: Andrew Baker

Document Summary

Lecture 6- 30th january 2013: more about correlations. Effect size is how big a difference is between independent variables. It uses an average sd from sd of mean 1 and 2. If you have an effect size of 0. 5 is considered moderate. Correlation coefficient can be thought of as the relationship between the cosine between those things and as you move along one arm of that geometric representation, you move less far along the other arm. If you change 1 sd in x it will lead to change in r times sd of y. But we want to see you multiple variables predict something: multiple regression. If you have an economic model, you could 100 predictors. But science needs parsimony so you want useful predictors. Regression coefficients can be thought of as correlational coefficients. You want there to be something independent about the predictors.