COM 381 Lecture Notes - Lecture 14: Level Of Measurement, Dependent And Independent Variables
21 May 2020
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Statistical analysis of relationships: correlations between two variables. Calculates a correlation coefficient of two variables that are measured on a ratio or interval scale. Tells how strong variables are together, can range from +1 to -1. Farther you get away in + or - direction = stronger relationship. Time spent studying on exam and score on exam would have + correlation. Score: as studying goes down score goes down. As studying decreases, scores increase vice versa. Use a point biserial correlation to analyze relationship between the two variables. Statistical analysis of differences: analysis of frequency differences: chi square test. Used to determine relationships between variables in specific categories. Can be used to compare differences among categories created from two nominal independent variables: analysis of the differences between the means of two groups: the t-test. Designed to measure differences in means, if they are different. Used to examine differences between two groups measured on an interval/ratio dependent variable.
