Question 1

What model is used for overdispersed count data?

Accepted Answer

A)  gamma 
B)  poisson 
C)  negative binomial 
D)  cloglog 
A)  gamma 
B)  poisson 
C)  negative binomial 
D)  cloglog C

Question 2

What does the relevel command do?

Accepted Answer

A)  Sets the reference level for a categorical variable 
B)  Standardizes a variable 
C)  Centers a variable 
D)  Converts a variable to a flat distribution 
A)  Sets the reference level for a categorical variable 
B)  Standardizes a variable 
C)  Centers a variable 
D)  Converts a variable to a flat distribution A

Question 3

For what type of data is gamma regression used?

Accepted Answer

A)  heteroskedastic 
B)  skewed 
C)  missing 
D)  count 
A)  heteroskedastic 
B)  skewed 
C)  missing 
D)  count B

Question 4

What is the most common data format encountered in statistics with R, from among the following?

Accepted Answer

A)  .dta 
B)  .sas7bdat 
C)  .csv 
D)  .sav 
A)  .dta 
B)  .sas7bdat 
C)  .csv 
D)  .sav

Question 5

"Fitted values" are…

Accepted Answer

A)  observed values 
B)  standardized values 
C)  predicted values 
D)  centered values 
A)  observed values 
B)  standardized values 
C)  predicted values 
D)  centered values

Question 6

What command in R is used to implement a binary logistic regression model?

Accepted Answer

A)  logistic 
B)  blogistic 
C)  binomial 
D)  glm 
A)  logistic 
B)  blogistic 
C)  binomial 
D)  glm

Question 7

What could be an "object" in R?

Accepted Answer

A)  The output from a statistical procedure 
B)  A vector of values of a variable 
C)  A data frame 
D)  Any of the above 
A)  The output from a statistical procedure 
B)  A vector of values of a variable 
C)  A data frame 
D)  Any of the above

Question 8

In panel data regression using the leading R package for this procedure, when asking for a fixed effects model of subject-level effects, what are the model= and effect= specifications?

Accepted Answer

A)  model="within", effect="individual" 
B)  model="within", effect="year" 
C)  model="between", effect="individual" 
D)  model="between", effect="year" 
A)  model="within", effect="individual" 
B)  model="within", effect="year" 
C)  model="between", effect="individual" 
D)  model="between", effect="year"

Question 9

In panel data regression using the leading R package for this procedure, what do idiosyncratic effects refer to?

Accepted Answer

A)  random effects variance at the individual level 
B)  fixed effects variance at the individual level 
C)  random effects variance not explained by the subject (individual) variable or fixed effects 
D)  fixed effects, as opposed to variance components 
A)  random effects variance at the individual level 
B)  fixed effects variance at the individual level 
C)  random effects variance not explained by the subject (individual) variable or fixed effects 
D)  fixed effects, as opposed to variance components

Question 10

What R command is mainly used in the textbook to implement panel data regression models?

Accepted Answer

A)  plm 
B)  lmer 
C)  lm 
D)  glm 
A)  plm 
B)  lmer 
C)  lm 
D)  glm

Question 11

In logistic regression and elsewhere, deviance is an important measure of model fit (and model error). Which is not synonymous with deviance?

Accepted Answer

A)  the regressor 
B)  -2LL 
C)  model chi-square 
D)  likelihood ratio 
A)  the regressor 
B)  -2LL 
C)  model chi-square 
D)  likelihood ratio

Question 12

To compute an estimated marginal mean, sum the observed values and divide by n.

Accepted Answer

A) True 
 B)False

Question 13

In a well-fitting model what kind of distribution should this R command display?: hist(olsmodel$residuals)

Accepted Answer

A)  Dots around a 45-degree line 
B)  A bi-modal distribution 
C)  A normal distribution 
D)  A random distribution 
A)  Dots around a 45-degree line 
B)  A bi-modal distribution 
C)  A normal distribution 
D)  A random distribution

Question 14

In a structural model with standardized structural (path) coefficients, what is the value of a compound (indirect) path?

Accepted Answer

A)  the sum of the structural coefficients 
B)  the product of the structural coefficients 
C)  1.0 
D)  This value is always indeterminate. 
A)  the sum of the structural coefficients 
B)  the product of the structural coefficients 
C)  1.0 
D)  This value is always indeterminate.

Question 15

In the text supplement for Chapter 3, which R command is primarily used to implement structural equation models?

Accepted Answer

A)  structural 
B)  structure 
C)  lavaan 
D)  path 
A)  structural 
B)  structure 
C)  lavaan 
D)  path

Question 16

What R command mainly used in the textbook to implements multilevel (mixed linear) models?

Accepted Answer

A)  lm 
B)  lmer 
C)  hsb 
D)  mixed 
A)  lm 
B)  lmer 
C)  hsb 
D)  mixed

Question 17

If race is a numerically coded variable, what does the command racef <- factor(race) do?

Accepted Answer

A)  Recodes race so 0 is the first value 
B)  Converts race into a categorical variable 
C)  Prints the level labels for race 
D)  Prints the codebook for race 
A)  Recodes race so 0 is the first value 
B)  Converts race into a categorical variable 
C)  Prints the level labels for race 
D)  Prints the codebook for race

What model is used for overdispersed count data?

What does the relevel command do?

For what type of data is gamma regression used?

What is the most common data format encountered in statistics with R, from among the following?

"Fitted values" are…

What command in R is used to implement a binary logistic regression model?

What could be an "object" in R?

In panel data regression using the leading R package for this procedure, when asking for a fixed effects model of subject-level effects, what are the model= and effect= specifications?

In panel data regression using the leading R package for this procedure, what do idiosyncratic effects refer to?

What R command is mainly used in the textbook to implement panel data regression models?

In logistic regression and elsewhere, deviance is an important measure of model fit (and model error). Which is not synonymous with deviance?

To compute an estimated marginal mean, sum the observed values and divide by n.

In a well-fitting model what kind of distribution should this R command display?: hist(olsmodel$residuals)

In a structural model with standardized structural (path) coefficients, what is the value of a compound (indirect) path?

In the text supplement for Chapter 3, which R command is primarily used to implement structural equation models?

What R command mainly used in the textbook to implements multilevel (mixed linear) models?

If race is a numerically coded variable, what does the command racef <- factor(race) do?

Using and Abusing Data Analytics in Social Science

Statistical Analytics With R Part 1

Classification and Regression Trees in R

Random Forests

Modeling and Machine Learning

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Exam 3: Statistical Analytics With R Part 2

What model is used for overdispersed count data?

What does the relevel command do?

For what type of data is gamma regression used?

What is the most common data format encountered in statistics with R, from among the following?

"Fitted values" are…

What command in R is used to implement a binary logistic regression model?

What could be an "object" in R?

In panel data regression using the leading R package for this procedure, when asking for a fixed effects model of subject-level effects, what are the model= and effect= specifications?

In panel data regression using the leading R package for this procedure, what do idiosyncratic effects refer to?

What R command is mainly used in the textbook to implement panel data regression models?

In logistic regression and elsewhere, deviance is an important measure of model fit (and model error). Which is not synonymous with deviance?

To compute an estimated marginal mean, sum the observed values and divide by n.

In a well-fitting model what kind of distribution should this R command display?: hist(olsmodel$residuals)

In a structural model with standardized structural (path) coefficients, what is the value of a compound (indirect) path?

In the text supplement for Chapter 3, which R command is primarily used to implement structural equation models?

What R command mainly used in the textbook to implements multilevel (mixed linear) models?

If race is a numerically coded variable, what does the command racef <- factor(race) do?

Using and Abusing Data Analytics in Social Science

Statistical Analytics With R Part 1

Classification and Regression Trees in R

Random Forests

Modeling and Machine Learning

Neural Network Models and Deep Learning

Network Analysis

Text Analytics

Filters