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What guides the construction and interpretation of bivariate tables?


A) The null hypothesis
B) The researcher(s) ' theoretical question
C) The strength of the relationship
D) The number of cells in the table

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Provide an example of an intervening relationship and describe why it is so.

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Answers may vary depending on the example provided.

If the bivariate relationship between the two variables remains about the same after controlling for the effect of one or more causally prior and theoretically relevant variables,then the original bivariate relationship is said to be a(n)


A) spurious relationship.
B) independent association.
C) elaborately controlled association.
D) direct causal relationship.

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D

A technique for the simultaneous organization of two variables into a table is known as


A) frequency distribution.
B) bivariate analysis.
C) central tendency.
D) cross-tabulation.

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A bivariate table is a series of ______ joined together to make one table.


A) samples
B) interval-ratio variables
C) column totals
D) frequency distributions

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Define an intervening relationship.

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A relationship in which the control variable intervenes between the independent and dependent variables.

In a bivariate table,the row and column totals are called


A) data.
B) marginals.
C) cells.
D) variables.

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Consider the following hypothetical data on each respondent's region of U.S.residence and whether or not they voted in the last presidential election.Use these data to construct a bivariate table with cells containing the appropriate frequencies. Consider the following hypothetical data on each respondent's region of U.S.residence and whether or not they voted in the last presidential election.Use these data to construct a bivariate table with cells containing the appropriate frequencies.

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A conditional relationship is a relationship in which the control variable's effect on the independent variable is conditional on its interaction with the dependent variable.

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Given the bivariate table below,calculate the row percentages. Given the bivariate table below,calculate the row percentages.

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SELECT ALL THAT APPLY. -Elaboration


A) involves the removal of control variables.
B) involves the introduction of control variables.
C) establishes the cause-and-effect relations between the variables.
D) specifies the different conditions under which the original bivariate relationship might hold.

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In a cross tabulation,the intersection of a row and column is referred to as


A) a node.
B) the intersection.
C) a cell.
D) the intercept.

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Using the method of comparing percentage differences discussed in the chapter,what can you conclude about the following data? Using the method of comparing percentage differences discussed in the chapter,what can you conclude about the following data?

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Attendance of religi...

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The column percentages of the first column of the given bivariate table are 48%,20%,and 32% respectively. The column percentages of the first column of the given bivariate table are 48%,20%,and 32% respectively.

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Identify the independent variable in the following table. Identify the independent variable in the following table.

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Religious ...

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A relationship in which both the independent and dependent variables are influenced by a causally prior control variable such that the original relationship is "explained away" by the control variable,is referred to as


A) spuriousness.
B) statistical significance.
C) percentage difference.
D) dependence.

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Calculate the appropriate percentages for each cell and provide a brief summary of the relationship between education and divorce using the method of comparing percentage differences discussed in the chapter. Calculate the appropriate percentages for each cell and provide a brief summary of the relationship between education and divorce using the method of comparing percentage differences discussed in the chapter.

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In the YES row,29.5%...

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When computing percentages for a bivariate table,it is best to calculate percentages ______ each category of the ______ variable.


A) within;independent
B) separate from;dependent
C) within;interval-ratio
D) independently of;spurious

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Calculate the appropriate percentages for each cell in the table below. Calculate the appropriate percentages for each cell in the table below.

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SELECT ALL THAT APPLY. -A bivariate relationship is said to be a(n)


A) direct casual relationship if it cannot be accounted for by other theoretically relevant variables.
B) spurious relationship if both the independent and dependent variables are influenced by a casually prior control variable,and there is no casual link between them.
C) partial relationship if the variables are reexamined in a partial table.
D) intervening relationship if the control variables do not intervene between the independent and dependent variables.

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