Ch. 10 Bivariate Table Questions

Suppose that in a particular U.S. county with 100,000 residents, 67 percent currently rent (as opposed to own) their own home. How many residents own their home? A. 33000 B. 0.67 C. 67000 D. 0.33

33000

Suppose that in a particular U.S. county with 100,000 residents, 67 percent currently rent (as opposed to own) their own home. Further suppose that in the neighboring county, 75 percent of residents own their own home. If you were to make a comparison at this point which assessed the percentage differences to determine the strength of the relationship, which two percentages would you compare? A. 25%; 75% B. 33%; 67% C. 67%; 75% D. 67%; 25%

67%; 25%

Which statement is the most accurate about bivariate tables and empirical research? A. Social science literature generally disapproves of the publication of bivariate tables. B. Most scholarly journals in the social sciences publish bivariate tables based on observational data. C. Bivariate tables published in the research literature are often complex. D. Bivariate tables are seldom presented in social science literature.

Bivariate tables published in the research literature are often complex.

A bivariate table displays the distribution of two variables across the categories of another variable.

FALSE

In a bivariate table or cross tabulation, the dependent variable is usually displayed as the column variable.

FALSE

Variables that capture information on individual attitudes are perhaps best suited for display in a bivariate table or cross tabulation.

FALSE

Which pair of variables would be best suited for analysis in a bivariate table or cross tabulation? A. Favorite sports team; number of professional sports games attended since age 5. B. Race; annual income in dollars. C. Religious affiliation; highest educational degree earned. D. Sex; age in years.

Religious affiliation; highest educational degree earned.

When examining the percentage differences in a bivariate table, the larger the percentage difference, the ____ the relationship between two variables. A. Stronger. B. More positive. C. More negative. D. Weaker.

Stronger.

A bivariate table is synonymous with a cross tabulation.

TRUE

A bivariate table or cross tabulation is used to arrange information on two variables simultaneously.

TRUE

An intervening variable follows an independent variable in a casual sequence.

TRUE

A spurious relationship is one where: A. The dependent variable is accentuated or "spurred" by considering the independent variable. B. The relationship between two variables is "explained away" by the introduction of a third variable. C. The relationship is indeed a real one, as demonstrated by strong percentage difference. D. None of the above.

The relationship between two variables is "explained away" by the introduction of a third variable.

A variable whose categories are the columns of a bivariate table is called a __________ variable A. row B. marginal C. column D. cell

column

The process by which we include an additional variable into a bivariate relationship to control for its effects is called A. Independence. B. Spuriousness. C. elaboration D. causality

elaboration

A bivariate table is essentially a series of __________ joined to make one table. A. frequency distributions B. percentages C. ordinal variables D. marginals

frequency distributions

The language of __________ is at the heart of social science inquiry. A. statistics B. variables C. love D. relationships

relationships

A relationship in which both the independent and dependent variables are influenced by a causally prior control variable, and there is no causal link between them is called a __________ relationship. A. spurious B. causal C. partial D. intervening

spurious