Ch10PPT - Chapter 10 Cross-Tabulation Relationships Between...

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Chapter 10 – 1 Chapter 10: Cross-Tabulation Relationships Between Variables Independent and Dependent Variables Constructing a Bivariate Table Computing Percentages in a Bivariate Table Dealing with Ambiguous Relationships Between Variables Reading the Research Literature Properties of a Bivariate Relationship Elaboration Statistics in Practice

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Chapter 10 – 2 Introduction Bivariate Analysis: A statistical method designed to detect and describe the relationship between two variables. Cross-Tabulation: A technique for analyzing the relationship between two variables that have been organized in a table.
Chapter 10 – 3 Understanding Independent and Dependent Variables Example: If we hypothesize that English proficiency varies by whether person is native born or foreign born, what is the independent variable, and what is the dependent variable? Independent: nativity Dependent: English proficiency

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Chapter 10 – 4 Constructing a Bivariate Table Bivariate table: A table that displays the distribution of one variable across the categories of another variable. Column variable: A variable whose categories are the columns of a bivariate table. Row variable: A variable whose categories are the rows of a bivariate table. Cell: The intersection of a row and a column in a bivariate table. Marginals: The row and column totals in a bivariate table.
Chapter 10 – 5

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Chapter 10 – 6
Chapter 10 – 7

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Chapter 10 – 8 Percentages Can Be Computed in Different Ways: 1. Column Percentages: column totals as base 1. Row Percentages: row totals as base
Absolute Frequencies

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Ch10PPT - Chapter 10 Cross-Tabulation Relationships Between...

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