ENH 122 Lecture Notes - Lecture 9: Observer-Expectancy Effect, Statistical Inference, Headache

• School: Ryerson University
• Department: Environmental Health
• Course: ENH 122
• Professor: Jordan Tustin

Document Summary

Definitions: subject: ppl participating/animals in the research, variable: can be a characteristic, risk factor, disease etc. Independent varibles: exposure (characteristic we"re measuring) ex. Dependant: outcome it depends on the independent (getting the disease, parasite, etc. : descriptive studies: describe something in a population without comparing it to something else (prevalence of smoking in a room, injury, etc, analytical studies: ex. Does smoking cause lung cancer: precise: how consistant you are statistical inference . A, b: validity/accuracy: how true is the decision methodological imperfections . Random error (chance) is caused by dsampling (but of course you won"t test a whole populations (ex. Systematic error (bias): can be selection bias , information bias, confounding (can be lessened by improving study design: not dependant on study size. Internal validity: only about that one subject (as in is something else causing the outcome-ex. Lung cancer caused by lung cancer, if there"s another cause then you don"t have internal validity)