COMM 2002 Lecture Notes - Asymptote, Ordinal Data, Dependent And Independent Variables

• School: Carleton University
• Department: Communication Studies
• Course: COMM 2002
• Professor: all

Document Summary

Depending on the level of the measurement you will be asked to measure the relationship between two variables you have posed from your directional statement. You will need to assess how strong the relationship is and if it is statistically significant. Strength of relationship between two nominal variables or one nominal and one ordinal variable. Coefficient between 0-1 no direction with nominal variables. Tells us whether knowing the value of one variable reduces the chance of making an error in predicating the value of another. Possible for all level of measurement but most commonly used on original. Gamma, somners d, tau b and c. Nominal-chi-square and cramer"s v: logic frequency of observed (frequency of expected) Ordinal-gamma, somers d, tau b &c: pre logic (reduction of error by knowing the independent variable) Concordant pairs- discordant paris/concordant pairs + discordant paris (ties) The statistic used is pearson"s r-often called the correlation coefficient. R tells us how closely correlated two interval level variables.