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Lecture

COMM 2001_Nov4.docx

2 Pages
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Department
Communication Studies
Course Code
COMM 2002
Professor
all

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COMM 2001: November 4 th Review from Last Week : Univariate to Bivariate 1. Formulated a research question 2. Developed and discovered survey question that measure concepts of RQ 3. Stated H1 4. Described each variable - Distribution - Central Tendency - Dispersion Bivariate Analysis (Analysis of two variables) 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. - Temporal order - Other variables Purpose: It connects the frequencies of two variables and help you identify any patterns of association. Uses: Suitable for nominal and ordinal data Table Construction - 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 The Nature of the Relationship What is the direction of the relationship, is it + or – How strong is the relationship? Is it statisti
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