Question 1

In most cases, the results of a factor analysis are easier to interpret without rotation of factors.

Accepted Answer

A) True 
 B)False

Question 2

An advantage of single multivariate analysis over multiple bivariate analyses is that:

Accepted Answer

A)  you reduce the risk of finding relationships that occur merely by chance. 
B)  it is easier to compute than bivariate statistical techniques. 
C)  it allows you to look at only one relationship at a time. 
D)  None of the answers is correct.

Question 3

One good way to deal with the problem of measurement error is to:

Accepted Answer

A)  use multiple sources of information for predictor variables. 
B)  statistically control error after your research has been conducted. 
C)  ignore it because it poses little problem for multivariate statistics. 
D)  None of the answers is correct.

Question 4

Describe structural equation modeling (SEM) and explain the two variables associated with SEM.

Accepted Answer

The answer of Describe structural equation modeling (SEM) and explain...

Question 5

Loglinear analysis can be used:

Accepted Answer

A)  for testing and building theoretical models. 
B)  if you conduct a correlational study with several categorical variables. 
C)  if your data violate the assumptions of parametric statistics (such as ANOV
A) . 
D)  All of the answers are correct.

Question 6

A(n) _____ is a measure of a variable's reliability.

Accepted Answer

A)  eigenvalue 
B)  factor loading 
C)  communality 
D)  beta weight

Question 7

Stepwise regression is used infrequently because it:

Accepted Answer

A)  tends to capitalize on chance. 
B)  reduces error variance to an unacceptable level. 
C)  violates most of the assumptions underlying multivariate statistics. 
D)  None of the answers is correct.

Question 8

Multivariate statistics are especially suited to research with small samples.

Accepted Answer

A) True 
 B)False

Question 9

On a scatter plot, an elliptical pattern of data points indicates the presence of heteroscedasticity.

Accepted Answer

A) True 
 B)False

Question 10

A design in which only one dependent variable is analyzed, or where multiple dependent variables are analyzed in separate statistical analyses, follows a _____ strategy.

Accepted Answer

A)  single-variable 
B)  multivariate 
C)  univariate 
D)  unilevel

Question 11

An assumption underlying bivariate correlational statistics is that the relationship between continuously measured variables is:

Accepted Answer

A)  bidirectional. 
B)  linear. 
C)  nonlinear. 
D)  asymptotic.

Question 12

In the context of the types of regression analysis, identify a true statement about simple regression analysis.

Accepted Answer

A)  It is used when there is a well-developed theory or model suggesting a certain causal sequence of variables. 
B)  Sampling and measurement error tend to make unstable correlations among variables in this regression. 
C)  The order in which variables are entered is based on a statistical decision. 
D)  Each predictor variable is assessed as if it had been entered after each of the other predictors had been entered.

Question 13

The most popular orthogonal rotation method in factor analysis is:

Accepted Answer

A)  oblique. 
B)  parallel. 
C)  varimax. 
D)  minimax.

Question 14

Principal components analysis is most appropriate when you have theoretically or empirically based predictions.

Accepted Answer

A) True 
 B)False

Question 15

In the context of factor analysis, identify a true statement about oblique rotation.

Accepted Answer

A)  It assumes that the measures and factors are correlated. 
B)  In this rotation, results are easier to interpret. 
C)  Its most popular method maximizes the variance of loadings on each factor and simplifies factors. 
D)  In this rotation, the axes representing the factors remain perpendicular when rotated around fixed points representing data.

Question 16

_____ is used when you have a large set of variables that you want to describe in simpler terms and you have no a priori ideas about which variables will cluster together.

Accepted Answer

A)  Confirmatory factor analysis 
B)  Exploratory factor analysis 
C)  Principle components analysis 
D)  Varimax rotation of factors

Question 17

Which of the following is a confirmatory application of structural equation modeling (SEM)?

Accepted Answer

A)  Strictly confirmatory approach 
B)  Alternative models approach 
C)  Model development approach 
D)  All of the answers are correct.

Question 18

R-square provides an index of the amount of variability in the dependent variable accounted for by the predictor variables.

Accepted Answer

A) True 
 B)False

Question 19

Loglinear analysis is analogous to:

Accepted Answer

A)  chi-square. 
B)  MANOVA. 
C)  canonical correlation. 
D)  factor analysis.

Question 20

Outliers affect both the magnitude and the sign of a calculated correlation.

Accepted Answer

A) True 
 B)False

Exam 15: Using Multivariate Design and Analysis

In most cases, the results of a factor analysis are easier to interpret without rotation of factors.

An advantage of single multivariate analysis over multiple bivariate analyses is that:

One good way to deal with the problem of measurement error is to:

Describe structural equation modeling (SEM) and explain the two variables associated with SEM.

Loglinear analysis can be used:

A(n) _____ is a measure of a variable's reliability.

Stepwise regression is used infrequently because it:

Multivariate statistics are especially suited to research with small samples.

On a scatter plot, an elliptical pattern of data points indicates the presence of heteroscedasticity.

A design in which only one dependent variable is analyzed, or where multiple dependent variables are analyzed in separate statistical analyses, follows a _____ strategy.

An assumption underlying bivariate correlational statistics is that the relationship between continuously measured variables is:

In the context of the types of regression analysis, identify a true statement about simple regression analysis.

The most popular orthogonal rotation method in factor analysis is:

Principal components analysis is most appropriate when you have theoretically or empirically based predictions.

In the context of factor analysis, identify a true statement about oblique rotation.

_____ is used when you have a large set of variables that you want to describe in simpler terms and you have no a priori ideas about which variables will cluster together.

Which of the following is a confirmatory application of structural equation modeling (SEM) ?

R-square provides an index of the amount of variability in the dependent variable accounted for by the predictor variables.

Loglinear analysis is analogous to:

Outliers affect both the magnitude and the sign of a calculated correlation.