Question 1

Multivariate regression is more likely than bivariate regression to produce a specification error.

Accepted Answer

A) True 
 B)False

Question 2

Path analysis provides quantitative estimates of both direct and indirect effects.

Accepted Answer

A) True 
 B)False

Question 3

A multivariate cross-tabulation with one control variable is called

Accepted Answer

A)  a first-order partial table. 
B)  a spurious table. 
C)  a suppressed table. 
D)  an explained table. 
E)  a compressed table. 
A)  a first-order partial table. 
B)  a spurious table. 
C)  a suppressed table. 
D)  an explained table. 
E)  a compressed table.

Question 4

A dummy variable in a multiple regression analysis is

Accepted Answer

A)  an unmeasured variable that is excluded from the underlying causal model. 
B)  an uncontrolled variable that creates a spurious relationship. 
C)  an uncontrolled variable that intervenes or "mediates" a relationship. 
D)  a variable with values of 0 and 1 used to represent a nominal- or ordinal-scale variable. 
A)  an unmeasured variable that is excluded from the underlying causal model. 
B)  an uncontrolled variable that creates a spurious relationship. 
C)  an uncontrolled variable that intervenes or "mediates" a relationship. 
D)  a variable with values of 0 and 1 used to represent a nominal- or ordinal-scale variable.

Question 5

Which of the following statements is not true of path analysis?

Accepted Answer

A)  It is a form of multivariate causal modeling. 
B)  It is depicted with arrow diagrams. 
C)  It uses unstandardized regression coefficients. 
D)  It assesses both direct and indirect effects. 
A)  It is a form of multivariate causal modeling. 
B)  It is depicted with arrow diagrams. 
C)  It uses unstandardized regression coefficients. 
D)  It assesses both direct and indirect effects.

Question 6

In nonexperimental research, as in experiments, it is possible to control statistically for variables that have not been measured.

Accepted Answer

A) True 
 B)False

Question 7

R2 is a popular measure of how well a statistical model fits the data.

Accepted Answer

A) True 
 B)False

Question 8

Table 1
  
-Which statement best summarizes the outcome in Table 1?

Accepted Answer

A)  Males are more likely to be tolerant than females. 
B)  Religiosity is directly related to tolerance. 
C)  There is no association between gender and tolerance. 
D)  Religiosity and gender interact to influence tolerance. 
A)  Males are more likely to be tolerant than females. 
B)  Religiosity is directly related to tolerance. 
C)  There is no association between gender and tolerance. 
D)  Religiosity and gender interact to influence tolerance.

Question 9

The presence of a __________ variable makes a relationship __________.

Accepted Answer

A)  distorter; appear to be in the wrong direction 
B)  distorter; appear weaker than it actually is 
C)  suppressor; appear to be in the wrong direction 
D)  intervening; appear to be in the wrong direction. 
A)  distorter; appear to be in the wrong direction 
B)  distorter; appear weaker than it actually is 
C)  suppressor; appear to be in the wrong direction 
D)  intervening; appear to be in the wrong direction.

Question 10

A partial-regression coefficient in a multiple regression equation

Accepted Answer

A)  is the result of a specification error. 
B)  usually has the same value as the corresponding bivariate regression coefficient. 
C)  indicates the influence of an independent variable on the dependent variable when other independent variables are held constant. 
D)  is a product of multicollinearity. 
A)  is the result of a specification error. 
B)  usually has the same value as the corresponding bivariate regression coefficient. 
C)  indicates the influence of an independent variable on the dependent variable when other independent variables are held constant. 
D)  is a product of multicollinearity.

Question 11

Explain the difference between the regression coefficient in bivariate regression and the partial-regression coefficient in multiple regression.

Accepted Answer

In bivariate regression, the regression

Question 12

The following tables show the relationship, for employed respondents, between hours per week the respondent usually works (Work hours), level of education (number of years completed), and sex for the 2016 GSS. 
   a. Which variable is controlled in each partial table?
b. Describe the relationship in each partial table.
c. The first partial (for males) has a chi-square value of 1.07, with p > .10; the second table (for females) has a chi-square value of 15.5, with p < .001. What do these statistics reveal about the relationships between the variables?
d. The zero-order association between level of education and usual hours worked per week was statistically significant. Comparing this result with the results of the partial tables, what type of elaboration outcome is shown?

Accepted Answer

The answer of The following tables show the relationship, for...

Multivariate regression is more likely than bivariate regression to produce a specification error.

Path analysis provides quantitative estimates of both direct and indirect effects.

A multivariate cross-tabulation with one control variable is called

A dummy variable in a multiple regression analysis is

Which of the following statements is not true of path analysis?

In nonexperimental research, as in experiments, it is possible to control statistically for variables that have not been measured.

R² is a popular measure of how well a statistical model fits the data.

Table 1 -Which statement best summarizes the outcome in Table 1?

The presence of a variable makes a relationship .

A partial-regression coefficient in a multiple regression equation

Explain the difference between the regression coefficient in bivariate regression and the partial-regression coefficient in multiple regression.

Introduction

The Nature of Science

Research Ethics

Elements of Research Design

Measurement

Sampling

Experimentation

Experimental Designs

Survey Research

Survey Instrumentation

Field Research

Research Using Available Data

Multiple Methods

Data Processing and Elementary Data Analysis

Writing Research Reports

Filters

Exam 16: Multivariate Analysis

Multivariate regression is more likely than bivariate regression to produce a specification error.

Path analysis provides quantitative estimates of both direct and indirect effects.

A multivariate cross-tabulation with one control variable is called

A dummy variable in a multiple regression analysis is

Which of the following statements is not true of path analysis?

In nonexperimental research, as in experiments, it is possible to control statistically for variables that have not been measured.

R2 is a popular measure of how well a statistical model fits the data.

Table 1 -Which statement best summarizes the outcome in Table 1?

The presence of a __________ variable makes a relationship __________.

A partial-regression coefficient in a multiple regression equation

Explain the difference between the regression coefficient in bivariate regression and the partial-regression coefficient in multiple regression.

Introduction

The Nature of Science

Research Ethics

Elements of Research Design

Measurement

Sampling

Experimentation

Experimental Designs

Survey Research

Survey Instrumentation

Field Research

Research Using Available Data

Multiple Methods

Data Processing and Elementary Data Analysis

Writing Research Reports

Filters

R² is a popular measure of how well a statistical model fits the data.

The presence of a variable makes a relationship .