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POL3371 (7)
Midterm

# Lecture 7 - Hypotheses Testing/Cross-Tabulation Analysis Premium

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School
University of Ottawa
Department
Political Science
Course
POL3371
Professor
Ivan Katchanovski
Semester
Winter

Description
Jan. 31, 2014 2% range Ex: 46.5% = 44.6% - 48.5% Hypotheses Testing/Cross-Tabulation Analysis BivariateAnalysis  Determines whether there is a relationship between two variables o Dependent and independent variables Tests of Statistical Significance  Tests of Statistical Significance: Formal and exact way to test hypotheses o Derived with help of advanced mathematics o Is a relationship between independent and dependent variables statistically significant?  Widely used in political science o Often misused o Statistical significance does not always imply real-life significance o Easier to get statistically significant results in large N (number of cases) studies: ex: very large number of respondents in surveys Dependent and Independent Variables Dependent variable • Avariable assumed to depend on or be affected by the independent variable • Avariable which we are interested in explaining Ex: Membership in political parties in Canada is affected by the level of education Independent variable • Avariable which presumed to affect the dependent variable • Avariable which we use to explain the dependent variables Ex: Membership in political parties in Canada is affected by the level of education Null Hypothesis Research Hypothesis (H1)  Astatement about the relationship between independent and dependent variables that we want to prove or disprove. Ex: Membership in political parties in Canada is affect by level of education. Null Hypothesis (H0)  Astatement of “no difference” between independent and dependent variables Ex: Membership in political parties in Canada is not affected by the level of education. Statistical Significance  If a relationship between an independent variable and a dependent variable is statistically non-significant o Null hypothesis is true o Research hypothesis is rejected  If a relationship between an independent variable and a dependent variables is statistically significant o Null hypothesi
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