PSYC 2301 Study Guide - Midterm Guide: Statistical Inference, Null Hypothesis, Standard Deviation
17 Apr 2017
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Correlation facts: difference between negative and positive correlation. Negative: linear relationship increases the values of one variable are accompanied by a decrease in the values of the other variable (graph b pg. Positive: increase the values of one variable are accompanied by increases in the values of the second variable (graph a pg. Scatter plots: graphic representation of each individual"s scores on two variables. To calculate a correlation coefficient, we need to obtain pairs of observations from each subject. Individuals have two scores, one on each of the variables. The pearsons r provides two types of information, strength of relationship and direction of relationship. Correlation is not the same as causation. Correlation coefficent is used to represent the. Ex: if you are studying age as a variable, testing only 6 and 7 year olds will reduce your chances of finding age effects. Effect size: refers to the strength of association between variables.
