# PSYB01H3 Lecture 12: Week 12 Lecture Notes

## Document Summary

Correlating individual scores: obtain pairs of observations from each subject (each individual has two scores; one from each of the variables, ask whether variables go together in a systematic fashion by calculating pearson r correlation coefficient. Is there a consistent rela bw variable x and y? (determines strength and direction of relationship) Interval or ratio data may be used: correlation coefficients: describing the strength of. ; use multiple regression: curvilinear relationship pearson r only detects linear relationships, ordinal variables use spearman(cid:495)s rank order correlation (rho) or, one continuous, one nominal point biserial, account for potential third variables in your conceptual, important to create scatter-plots for visual. Kendall rank order (tau) framework: how might you explain outliers, r = 0. 00, what to do with data, 3. No pat group: descriptive statistics, central tendency, mean, found by adding all the scores and dividing by the number of scores (cid:523)x= x/n(cid:524, (cid:523)where x=sum of values in a set of scores; n=number of scores)