Question 1

What is skewness?

Accepted Answer

A)  A pointy distribution 
B)  A flat distribution 
C)  Lack of symmetry of a distribution 
D)  A platykurtic distribution 
A)  A pointy distribution 
B)  A flat distribution 
C)  Lack of symmetry of a distribution 
D)  A platykurtic distribution C

Question 2

If you have count data where the variance is smaller than the mean, however you have an excess of zero counts, which model should you choose?

Accepted Answer

A)  Poisson regression 
B)  Zero-inflated Poisson regression 
C)  Negative binomial regression 
D)  Zero-inflated binomial regression 
A)  Poisson regression 
B)  Zero-inflated Poisson regression 
C)  Negative binomial regression 
D)  Zero-inflated binomial regression B

Question 3

What happens if you raise a variable to a power (p)< 1

Accepted Answer

A)  We will reduce negative skew 
B)  The data will stay the same 
C)  We will reduce positive skew 
D)  We will make a flat distribution pointy 
A)  We will reduce negative skew 
B)  The data will stay the same 
C)  We will reduce positive skew 
D)  We will make a flat distribution pointy C

Question 4

What does multiple imputation do?

Accepted Answer

A)  Removes any observation that has missing one or more of the variables in the model 
B)  Uses information from all values from other variables to predict values on variable(s) with low N 
C)  Calculations are based on all available data pairwise for all pairs of variables 
D)  Inserts a new value for all missing observations in a variable (e.g., 0 or the mean), as well as including a dummy variable coded 1 if the original data is missing 
A)  Removes any observation that has missing one or more of the variables in the model 
B)  Uses information from all values from other variables to predict values on variable(s) with low N 
C)  Calculations are based on all available data pairwise for all pairs of variables 
D)  Inserts a new value for all missing observations in a variable (e.g., 0 or the mean), as well as including a dummy variable coded 1 if the original data is missing

Question 5

Which one of the following methods is recommended to use when running an analysis containing missing data?

Accepted Answer

A)  Pairwise deletion 
B)  Multiple imputation 
C)  Single imputation 
D)  Dummy variable adjustment 
A)  Pairwise deletion 
B)  Multiple imputation 
C)  Single imputation 
D)  Dummy variable adjustment

What is skewness?

If you have count data where the variance is smaller than the mean, however you have an excess of zero counts, which model should you choose?

What happens if you raise a variable to a power (p)< 1

What does multiple imputation do?

Which one of the following methods is recommended to use when running an analysis containing missing data?

Research and Statistics

Introduction to STATA

Simple Bivariate Regression

Multiple Regression

Dummy-Variable Regression

Interaction/Moderation Effects Using 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

Programming and Dynamic Reporting Using STATA

Filters

Exam 15: Advanced Statistical Techniques

What is skewness?

If you have count data where the variance is smaller than the mean, however you have an excess of zero counts, which model should you choose?

What happens if you raise a variable to a power (p)< 1

What does multiple imputation do?

Which one of the following methods is recommended to use when running an analysis containing missing data?

Research and Statistics

Introduction to STATA

Simple Bivariate Regression

Multiple Regression

Dummy-Variable Regression

Interaction/Moderation Effects Using 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

Programming and Dynamic Reporting Using STATA

Filters