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COMM 2002 (65)
Lecture

# Semester 1 - Nov 18, 2013 - Bivariate Strength Measures - Interval.docx

3 Pages
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Department
Communication Studies
Course Code
COMM 2002
Professor
Heather Pyman

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November 18, 2013 Bi­variate Strength Measures – Interval The nature of the relationship • What is the direction of the relationship + or – • How strong is the relationship • Is it statistically significant Bivariate statistical tests Cramer’s V • Strength of relationship between two nominal variables of one nominal and one ordinal variable • Coefficient between 0-1- no direction with nominal variables PRE measures • Tells us whether knowing the value of one variable reduces the chance of making an error predicting the value of another • Possible for all level of measurement but most commonly used on ordinal • Gamma, Sommers D, Tau B and C • Coefficient between -1 and +1 Logic of Bivariate statistical tests • Nominal – Chi-square and Cramer’s V o Logic frequency of observed – frequency of expected • Ordinal – Gamma, Somers d, Tau b/c o PRE logic – reduction of error by knowing the independent variable o Concordant pairs – Discordant pairs o Concordant pairs + Discordant pairs (ties) PRE measures for interval data • The statistic used is Pearson’s r – often called the correlation coefficient • “r” tells us how closely correlated two interval level
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