Question 1

In a multilevel model in which reaction times on different trials (level 1) were collected from within different people (level 2), what does the intraclass correlation represent?

Accepted Answer

A) The proportion of the total variability in reaction times that is attributable to the people 
B) The proportion of the total variability in reaction times that is attributable to the trials 
C) The difference in the total variability in reaction times explained by the trials compared to that explained by the people 
D) The relationship between the variance in reaction times explained by people and that explained by trials A

Question 2

The SPSS output below is from a multilevel model. What does UN(1,1) estimate?

Accepted Answer

A) The variance of residuals 
B) The covariance between intercepts and slopes 
C) The variance of slopes 
D) The variance of intercepts D

Question 3

Multilevel linear models differ from regression in that they:

Accepted Answer

A) Allow you to do mediation analysis. 
B) Allow you to include multiple predictor variables. 
C) Can have categorical variables as predictors. 
D) Take account of hierarchies in the data structure. D

Question 4

The graph below is from Wright and London (2009). Which of the following descriptions best applies to this graph:

Accepted Answer

A) Fixed slopes, fixed intercepts 
B) Fixed slopes, random intercepts 
C) Random slopes, random intercepts 
D) Random slopes, fixed intercepts

Question 5

In a multilevel model in which an outcome was measured in children from different classrooms, a large intraclass correlation would imply that:

Accepted Answer

A) The outcome measure varied a lot across children within a classroom. 
B) Children within a particular class behaved very differently. 
C) Children in different classes behaved very differently. 
D) The outcome variable varied very little across children from different classrooms.

Question 6

A researcher had data collected at several schools measuring children's emotional intelligence, age, and academic performance. Which analysis should they perform to test whether academic performance is predicted by emotional intelligence when controlling for age, taking into account that students were from different schools?

Accepted Answer

A) Multiple regression 
B) Multilevel model 
C) Analysis of covariance 
D) Discriminant function analysis

Question 7

A paediatrician measured children's asthma and stress levels each month for six months. What analysis would they use to find out whether stress significantly predicts asthma?

Accepted Answer

A) A growth model 
B) Biserial correlation 
C) Ordinary least squares regression 
D) Analysis of covariance

Question 8

What do we mean by centring?

Accepted Answer

A) The process of transforming a variable into deviations around a fixed point 
B) Expressing an outcome variable as deviations from the mean of a predictor variable 
C) Calculating the central point of a distribution 
D) Multiplying a variable by the mean of a different variable

Question 9

What is a second-order polynomial also known as?

Accepted Answer

A) A linear trend 
B) A quadratic trend 
C) A cubic trend 
D) A quartic trend

Question 10

In the context of multilevel models what do we mean by a random regression coefficient?

Accepted Answer

A) A regression coefficient that is assumed to be different in the population and the sample 
B) A regression coefficient that is assumed to vary across contexts 
C) A regression coefficient that varies across different samples 
D) A regression coefficient that is a random value and rather than an estimated value

Question 11

It is common when fitting multilevel models to start with a simple model, and build it up by adding new terms and re-estimating the model. If you want to compare the fit of a multilevel model with a simpler variant of the same model, what estimation method must you use?

Accepted Answer

A) Ordinary least squares 
B) Maximum likelihood 
C) Restricted maximum likelihood 
D) Generalized least squares

Question 12

The matrix below describes what kind of covariance structure in a multilevel model? $$\left( \begin{array} { l l l l } 
1 & 0 & 0 & 0 \
0 & 1 & 0 & 0 \
0 & 0 & 1 & 0 \
0 & 0 & 0 & 1
\end{array} \right)$$

Accepted Answer

A) Unstructured 
B) AR(1) 
C) Diagonal 
D) Variance components

Question 13

The matrix below describes what kind of covariance structure in a multilevel model?
$\left( \begin{array} { c c c c } 
\sigma _ { 1 } ^ { 2 } & \sigma _ { 21 } & \sigma _ { 31 } & \sigma _ { 41 } \
\sigma _ { 21 } & \sigma _ { 2 } ^ { 2 } & \sigma _ { 32 } & \sigma _ { 42 } \
\sigma _ { 31 } & \sigma _ { 32 } & \sigma _ { 3 } ^ { 2 } & \sigma _ { 43 } \
\sigma _ { 41 } & \sigma _ { 42 } & \sigma _ { 43 } & \sigma _ { 4 } ^ { 2 }
\end{array} \right)$

Accepted Answer

A) Variance components 
B) Diagonal 
C) Unstructured 
D) AR(1)

Question 14

The matrix below describes what kind of covariance structure in a multilevel model?
$\left( \begin{array} { c c c c } 
1 & \rho & \rho ^ { 2 } & \rho ^ { 3 } \
\rho & 1 & \rho & \rho ^ { 2 } \
\rho ^ { 2 } & \rho & 1 & \rho \
\rho ^ { 3 } & \rho ^ { 2 } & \rho & 1
\end{array} \right)$

Accepted Answer

A) Diagonal 
B) AR(1) 
C) Variance components 
D) Unstructured

Question 15

In the context of multilevel models what do we mean by a fixed regression coefficient?

Accepted Answer

A) A regression coefficient that is stable across different samples 
B) A regression coefficient that is assumed to be the same in the population and the sample 
C) A regression coefficient that is assumed not to vary across contexts 
D) A regression coefficient that is always a fixed value and does not need to be estimated

Question 16

Which of the following is a measure of the fit of a multilevel model?

Accepted Answer

A) CAIC 
B) ACIC 
C) ACCI 
D) ICAC

Question 17

The SPSS output below is from a multilevel model. What does UN(2,1) estimate?

Accepted Answer

A) The variance of residuals 
B) The variance of intercepts 
C) The covariance between intercepts and slopes 
D) The variance of slopes

Question 18

In the output for a multilevel model, the coefficient estimate for each effect can tell us:

Accepted Answer

A) Whether your predictors significantly predict the outcome. 
B) All of these. 
C) Whether the relationship between each predictor and the outcome is positive or negative. 
D) About any random effects in the model

Question 19

The matrix below describes what kind of covariance structure in a multilevel model?
$\left( \begin{array} { c c c c } 
\sigma _ { 1 } ^ { 2 } & 0 & 0 & 0 \
0 & \sigma _ { 2 } ^ { 2 } & 0 & 0 \
0 & 0 & \sigma _ { 3 } ^ { 2 } & 0 \
0 & 0 & 0 & \sigma _ { 4 } ^ { 2 }
\end{array} \right)$

Accepted Answer

A) Variance components 
B) AR(1) 
C) Unstructured 
D) Diagonal

Question 20

The SPSS output below is from a multilevel model. What does UN(2,2) estimate?

Accepted Answer

A) The variance of slopes 
B) The variance of residuals 
C) The variance of intercepts 
D) The covariance between intercepts and slopes

Exam 21: Multilevel Linear Models

In a multilevel model in which reaction times on different trials (level 1) were collected from within different people (level 2) , what does the intraclass correlation represent?

The SPSS output below is from a multilevel model. What does UN(1,1) estimate?

Multilevel linear models differ from regression in that they:

The graph below is from Wright and London (2009) . Which of the following descriptions best applies to this graph:

In a multilevel model in which an outcome was measured in children from different classrooms, a large intraclass correlation would imply that:

A paediatrician measured children's asthma and stress levels each month for six months. What analysis would they use to find out whether stress significantly predicts asthma?

What do we mean by centring?

What is a second-order polynomial also known as?

In the context of multilevel models what do we mean by a random regression coefficient?

It is common when fitting multilevel models to start with a simple model, and build it up by adding new terms and re-estimating the model. If you want to compare the fit of a multilevel model with a simpler variant of the same model, what estimation method must you use?

The matrix below describes what kind of covariance structure in a multilevel model? $\left( \begin{array} { l l l l } 1 & 0 & 0 & 0 \\0 & 1 & 0 & 0 \\0 & 0 & 1 & 0 \\0 & 0 & 0 & 1\end{array} \right)$

The matrix below describes what kind of covariance structure in a multilevel model? $\left( \begin{array} { c c c c } 1 & \rho & \rho ^ { 2 } & \rho ^ { 3 } \\\rho & 1 & \rho & \rho ^ { 2 } \\\rho ^ { 2 } & \rho & 1 & \rho \\\rho ^ { 3 } & \rho ^ { 2 } & \rho & 1\end{array} \right)$

In the context of multilevel models what do we mean by a fixed regression coefficient?

Which of the following is a measure of the fit of a multilevel model?

The SPSS output below is from a multilevel model. What does UN(2,1) estimate?

In the output for a multilevel model, the coefficient estimate for each effect can tell us:

The matrix below describes what kind of covariance structure in a multilevel model? $\left( \begin{array} { c c c c } \sigma _ { 1 } ^ { 2 } & 0 & 0 & 0 \\0 & \sigma _ { 2 } ^ { 2 } & 0 & 0 \\0 & 0 & \sigma _ { 3 } ^ { 2 } & 0 \\0 & 0 & 0 & \sigma _ { 4 } ^ { 2 }\end{array} \right)$

The SPSS output below is from a multilevel model. What does UN(2,2) estimate?

Exam 21: Multilevel Linear Models

In a multilevel model in which reaction times on different trials (level 1) were collected from within different people (level 2) , what does the intraclass correlation represent?

The SPSS output below is from a multilevel model. What does UN(1,1) estimate?

Multilevel linear models differ from regression in that they:

The graph below is from Wright and London (2009) . Which of the following descriptions best applies to this graph:

In a multilevel model in which an outcome was measured in children from different classrooms, a large intraclass correlation would imply that:

A paediatrician measured children's asthma and stress levels each month for six months. What analysis would they use to find out whether stress significantly predicts asthma?

What do we mean by centring?

What is a second-order polynomial also known as?

In the context of multilevel models what do we mean by a random regression coefficient?

It is common when fitting multilevel models to start with a simple model, and build it up by adding new terms and re-estimating the model. If you want to compare the fit of a multilevel model with a simpler variant of the same model, what estimation method must you use?

The matrix below describes what kind of covariance structure in a multilevel model? (1000010000100001) \left( \begin{array} { l l l l } 1 & 0 & 0 & 0 \\0 & 1 & 0 & 0 \\0 & 0 & 1 & 0 \\0 & 0 & 0 & 1\end{array} \right) ​1000​0100​0010​0001​​

In the context of multilevel models what do we mean by a fixed regression coefficient?

Which of the following is a measure of the fit of a multilevel model?

The SPSS output below is from a multilevel model. What does UN(2,1) estimate?

In the output for a multilevel model, the coefficient estimate for each effect can tell us:

The SPSS output below is from a multilevel model. What does UN(2,2) estimate?

The matrix below describes what kind of covariance structure in a multilevel model? $\left( \begin{array} { l l l l } 1 & 0 & 0 & 0 \\0 & 1 & 0 & 0 \\0 & 0 & 1 & 0 \\0 & 0 & 0 & 1\end{array} \right)$