PSYC 2030 Lecture Notes - Lecture 12: Contingency Table, Dependent And Independent Variables, Chi-Squared Distribution
10 Dec 2015
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Document Summary
Researchers view variables not in isolation, but as systematically and meaningfully associated with, or related to, other variables. Single number correlation coefficient; how you can use a correlation coefficient can indicate the strength of association between 2 variables (x and y) Linearity correlations that reflect the degree to which mutual relations between x and y resemble a straight line. Positive r tells us that an increase in x is associated with an increase in y, whereas a negative r indicates that an increase in x is associated with a decrease in y. Continuous variable it is possible to imagine another value falling between any 2 adjacent scores. Dichotomous variable the variable is divided into 2 distinct or separate pairs. Eg: someone who studied the discrimination of pitch might be interested in correlating the changes in the frequency of sound waves (x) with the differing ability of individuals to discriminate those changes (y)
