'Column percentages' presentation slideshows

ASSOCIATION BETWEEN VARIABLES:TABLE PERCENTAGING

ASSOCIATION BETWEEN VARIABLES:TABLE PERCENTAGING. Topic #12. VOTE by RELIGION. Let us consider the following hypothesized association: RELIGIOUS AFFILIATION ==> PRESIDENTIAL VOTE [ inds ] (Protestant vs. Catholic) (Dem. vs. Rep.)

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Determining and Interpreting Associations Among Variables

Determining and Interpreting Associations Among Variables. Associative Analyses. Associative analyses: determine where stable relationships exist between two variables Examples What methods of doing business are associated with level of customer satisfaction?

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29 males were also fundamentalists.

Contingency tables enable us to compare one characteristic of the sample, e.g. degree of religious fundamentalism, for groups or subsets of cases defined by another categorical variable, e.g. gender. A contingency table, which SPSS calls a cross-tabulated table is shown below:.

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Elaboration of Bivariate Tables: A Direct Relationship

Elaboration of Bivariate Tables: A Direct Relationship. Creating the Crosstabulated Table - 1. In SPSS, you can obtain a crosstabulated table by clicking: Analyze > Descriptive Statistics > Crosstabs

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Week 11

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Relationships Between Two Variables: Cross-Tabulation

Relationships Between Two Variables: Cross-Tabulation. 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

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Chapter 13

Chapter 13 . Association Between Two Variables Measured at the Nominal Level. Nominal Level Measures of Association. It is always useful to compute column percentages for bivariate tables.

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Contingency Tables (cross tabs)

Contingency Tables (cross tabs). Generally used when variables are nominal and/or ordinal Even here, should have a limited number of variable attributes (categories) Inside the cells of the table are frequencies (number of cases that fit criteria)

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