Question 1

Correct specification of the overall model in path analysis requires that each endogenous variable in the model be correctly specified.

Accepted Answer

A) True 
 B)False

Question 2

The degree of confidence we can have in the causal inferences drawn from the results of path analysis is similar to the confidence in inferences drawn from an experimental study.

Accepted Answer

A) True 
 B)False

Question 3

Once a consistent model has been generated, the specific causal effects for each endogenous variable are determined with respect to direct, indirect, and total effects.

Accepted Answer

A) True 
 B)False

Question 4

If a path coefficient is not statistically significant, one should consider dropping it from the model unless there is strong theoretical support for its inclusion.

Accepted Answer

A) True 
 B)False

Question 5

Structural equation modeling is sometimes referred to as latent variable modeling.

Accepted Answer

A) True 
 B)False

Question 6

The summary of results for path analysis should first discuss the initial model.

Accepted Answer

A) True 
 B)False

Question 7

In the specific language of causal modeling, all variables not explained by the model are referred to as the endogenous variables.

Accepted Answer

A) True 
 B)False

Question 8

Once you have conducted all the regression analyses for the initial path model, the path (β) coefficients with the respective level of significance should be noted within the path model.

Accepted Answer

A) True 
 B)False

Question 9

In any model that contains more than one exogenous variable in path analysis, the associated explained correlations among them will result in a degree of undeterminability with respect to the resolution of the direct and indirect effects of endogenous variables on endogenous variables.

Accepted Answer

A) True 
 B)False

Question 10

Legitimate paths in path analysis are those that do not violate which of the three following rules?

Accepted Answer

A)  No path may pass through the same variable more than once. 
B)  No path may go backward on an arrow after going forward on another arrow. 
C)  No path may include more than one double-headed curved arrow. 
D)  All three are correct. 
A)  No path may pass through the same variable more than once. 
B)  No path may go backward on an arrow after going forward on another arrow. 
C)  No path may include more than one double-headed curved arrow. 
D)  All three are correct.

Correct specification of the overall model in path analysis requires that each endogenous variable in the model be correctly specified.

The degree of confidence we can have in the causal inferences drawn from the results of path analysis is similar to the confidence in inferences drawn from an experimental study.

Once a consistent model has been generated, the specific causal effects for each endogenous variable are determined with respect to direct, indirect, and total effects.

If a path coefficient is not statistically significant, one should consider dropping it from the model unless there is strong theoretical support for its inclusion.

Structural equation modeling is sometimes referred to as latent variable modeling.

The summary of results for path analysis should first discuss the initial model.

In the specific language of causal modeling, all variables not explained by the model are referred to as the endogenous variables.

Once you have conducted all the regression analyses for the initial path model, the path (β) coefficients with the respective level of significance should be noted within the path model.

In any model that contains more than one exogenous variable in path analysis, the associated explained correlations among them will result in a degree of undeterminability with respect to the resolution of the direct and indirect effects of endogenous variables on endogenous variables.

Legitimate paths in path analysis are those that do not violate which of the three following rules?

Introduction to Multivariate Statistics

A Guide to Multivariate Techniques

Pre-Analysis Data Screening

Factorial Analysis of Variance

Analysis of Covariance

Multivariate Analysis of Variance and Covariance

Multiple Regression

Factor Analysis

Discriminant Analysis

Logistic Regression

Filters

Exam 8: Path Analysis

Correct specification of the overall model in path analysis requires that each endogenous variable in the model be correctly specified.

The degree of confidence we can have in the causal inferences drawn from the results of path analysis is similar to the confidence in inferences drawn from an experimental study.

Once a consistent model has been generated, the specific causal effects for each endogenous variable are determined with respect to direct, indirect, and total effects.

If a path coefficient is not statistically significant, one should consider dropping it from the model unless there is strong theoretical support for its inclusion.

Structural equation modeling is sometimes referred to as latent variable modeling.

The summary of results for path analysis should first discuss the initial model.

In the specific language of causal modeling, all variables not explained by the model are referred to as the endogenous variables.

Once you have conducted all the regression analyses for the initial path model, the path (β) coefficients with the respective level of significance should be noted within the path model.

In any model that contains more than one exogenous variable in path analysis, the associated explained correlations among them will result in a degree of undeterminability with respect to the resolution of the direct and indirect effects of endogenous variables on endogenous variables.

Legitimate paths in path analysis are those that do not violate which of the three following rules?

Introduction to Multivariate Statistics

A Guide to Multivariate Techniques

Pre-Analysis Data Screening

Factorial Analysis of Variance

Analysis of Covariance

Multivariate Analysis of Variance and Covariance

Multiple Regression

Factor Analysis

Discriminant Analysis

Logistic Regression

Filters