COMM 2002 Lecture Notes - Ordinal Data, Null Hypothesis, Univariate

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

Document Summary

Review from last week : univariate to bivariate: formulated a research question, developed and discovered survey question that measure concepts of rq, stated h1, described each variable. It explores the relationships between variables, and searches for co-variance and correlations. It cannot establish causality; nothing causes another variable as we don"t know what came first. Purpose: it connects the frequencies of two variables and help you identify any patterns of association. Independent variable always goes in the column position. Dependent variable always goes in the row position. Column, row and the total percentage all give different information. Column percentage reveals the relationship of the independent variable to the dependent variable. What is the direction of the relationship, is it + or . The strength of relationship between two nominal variables or one nominal and one ordinal variable. Coefficient between 0-1 (positive only) with being closer to 1 as stronger.