PSYC 328 Lecture Notes - Lecture 6: Ultraviolet, Melanoma, Hip Fracture

• School: McGill University
• Department: Psychology
• Course: PSYC 328
• Professor: Agnes Baerbel Knaeuper

Document Summary

Let"s start with some meta analysis and definitions: We can get statistical significance if we have a big sample size. But these tiny effects are sometimes not clinically significant. The effect size would be 403 feet - 400 feet. Thus we need another calculation like the cohen d to verify the clinical significance to verify that it is actually meaningful. D(cohen"s d) = mean difference/standard deviation ( determines the effect size ) Changes in stages happen too fast to capture: health enhancing behaviors: They can lead to earlier diagnosis but not less survival rate: breast cancer screening: current recommendations are to not routinely perform this exam as a screen for breast cancer, but do do mammograms every 2-3 years. Breast self-exams (bse) is not an effective screening activity. Mainly in women over age 40: mammograms: early detection through mammograms can improve survival rates.