PSYC 1010 Lecture Notes - Confounding, Dependent And Independent Variables, Central Tendency

• School: York University
• Department: Psychology
• Course: PSYC 1010
• Professor: Rebecca Jubis

Document Summary

It effects the dependent variable so that you don"t know whether the effects are caused by the independent variable, the confounding variable, or both. Groups should be equal in every way except the independent variable. Random assignment: by using this, you are assuming that all individual difference variables are being evenly distributed among groups so that groups are essentially equal. Placebo control group is better, avoid having expectation as a confounding variable. Measures the degree of relationshop between 2 variables. These is no attempt to manipulate or control variables. Rather naturally occurring variations are measured to see if they are related. Interpret what that # means about the relationship. Correlational coefficient: strength of relationship between variables r = + or - number. Impossible to get # higher than 1 ex. + : the values of bother variables are changing in the same direction. Fatigue and test scores both increase ore both decrease.