Question 1

What is a product term the result of?

Accepted Answer

A)  Multiplying two variables 
B)  Taking the ratio of two variables 
C)  Subtracting one variable from another 
D)  Adding two variables 
A)  Multiplying two variables 
B)  Taking the ratio of two variables 
C)  Subtracting one variable from another 
D)  Adding two variables A

Question 2

Which of the following commands in Stata can we use to compute the simple main effects after the estimation of an interactive regression model?

Accepted Answer

A)  margins 
B)  margins, dydx() 
C)  predict 
D)  compute dydx() 
A)  margins 
B)  margins, dydx() 
C)  predict 
D)  compute dydx() B

Question 3

What is a simple main (conditional) effect?

Accepted Answer

A)  The effect of X2 on X1 when Y is equal to 0 
B)  The effect of X1 on X2 when Y is equal to 0 
C)  The effect of X2 on Y when X1 is equal to 0 
D)  The effect of X1 on Y when X2 is equal to 0 
A)  The effect of X2 on X1 when Y is equal to 0 
B)  The effect of X1 on X2 when Y is equal to 0 
C)  The effect of X2 on Y when X1 is equal to 0 
D)  The effect of X1 on Y when X2 is equal to 0 C,D

Question 4

What exactly is an interaction/moderation effect?

Accepted Answer

A)  When a third variable (X1) and an independent variable (X2) affect the dependent variable (Y) simultaneously 
B)  When a third variable (X1) reduces the effect of an independent variable (X2) on the dependent variable (Y) 
C)  When a third variable (X1) affects the relation between an independent variable (X2) and the dependent variable (Y) 
D)  When a third variable (X1) affects an independent variable (X2) but not the dependent variable (Y) 
A)  When a third variable (X1) and an independent variable (X2) affect the dependent variable (Y) simultaneously 
B)  When a third variable (X1) reduces the effect of an independent variable (X2) on the dependent variable (Y) 
C)  When a third variable (X1) affects the relation between an independent variable (X2) and the dependent variable (Y) 
D)  When a third variable (X1) affects an independent variable (X2) but not the dependent variable (Y)

Question 5

When we estimate an interaction model with the mean-centered variables (X1 and X2), what will the coefficients on these predictors reflect?

Accepted Answer

A)  The slope on X1 for those having the mean score on X2 
B)  The slope on X2 for those having the mean score on X1 
C)  The slope on X2 and X1 for those having the mean score on Y 
D)  None of these 
A)  The slope on X1 for those having the mean score on X2 
B)  The slope on X2 for those having the mean score on X1 
C)  The slope on X2 and X1 for those having the mean score on Y 
D)  None of these

What is a product term the result of?

Which of the following commands in Stata can we use to compute the simple main effects after the estimation of an interactive regression model?

What is a simple main (conditional) effect?

What exactly is an interaction/moderation effect?

When we estimate an interaction model with the mean-centered variables (X₁ and X₂), what will the coefficients on these predictors reflect?

Research and Statistics

Introduction to STATA

Simple Bivariate Regression

Multiple Regression

Dummy-Variable Regression

Linear Regression Assumptions and Diagnostics

Logistic Regression

Survival Analysis

Multilevel Analysis

Panel Data Analysis

Time-Series Analysis

Exploratory Factor Analysis

Structural Equation Modelling and Confirmatory Factor Analysis

Advanced Statistical Techniques

Programming and Dynamic Reporting Using STATA

Filters

Exam 6: Interaction/Moderation Effects Using Regression

What is a product term the result of?

Which of the following commands in Stata can we use to compute the simple main effects after the estimation of an interactive regression model?

What is a simple main (conditional) effect?

What exactly is an interaction/moderation effect?

When we estimate an interaction model with the mean-centered variables (X1 and X2), what will the coefficients on these predictors reflect?

Research and Statistics

Introduction to STATA

Simple Bivariate Regression

Multiple Regression

Dummy-Variable Regression

Linear Regression Assumptions and Diagnostics

Logistic Regression

Survival Analysis

Multilevel Analysis

Panel Data Analysis

Time-Series Analysis

Exploratory Factor Analysis

Structural Equation Modelling and Confirmatory Factor Analysis

Advanced Statistical Techniques

Programming and Dynamic Reporting Using STATA

Filters

When we estimate an interaction model with the mean-centered variables (X₁ and X₂), what will the coefficients on these predictors reflect?