Question 1

_____ can arise from many sources, including inaccurate, incomplete, or biased sources of information.

Accepted Answer

A)  Homoscedasticity 
B)  Type III error 
C)  Measurement error 
D)  All of the answers are correct. 
A)  Homoscedasticity 
B)  Type III error 
C)  Measurement error 
D)  All of the answers are correct. C

Question 2

According to Tabachnick and Fidell (2013), identify a true statement about principal factors analysis.

Accepted Answer

A)  It is most appropriate when one wants to reduce a large number of variables down to a smaller set. 
B)  It is most appropriate when one has theoretically or empirically based predictions. 
C)  It is often used in the early stages of research to identify the variables that cluster together. 
D)  It is used in the later stages of research where one can specify how variables relate given an underlying psychological process. 
A)  It is most appropriate when one wants to reduce a large number of variables down to a smaller set. 
B)  It is most appropriate when one has theoretically or empirically based predictions. 
C)  It is often used in the early stages of research to identify the variables that cluster together. 
D)  It is used in the later stages of research where one can specify how variables relate given an underlying psychological process. B

Question 3

_____ results when variables in your analysis are highly correlated.

Accepted Answer

A)  Multicollinearity 
B)  Homoscedasticity 
C)  Heteroscedasticity 
D)  Normality 
A)  Multicollinearity 
B)  Homoscedasticity 
C)  Heteroscedasticity 
D)  Normality A

Question 4

A(n) _____ consists of a sequence of events that eventually leads to variation in a dependent variable.

Accepted Answer

A)  causal chain 
B)  open model 
C)  exogenous model 
D)  endogenous model 
A)  causal chain 
B)  open model 
C)  exogenous model 
D)  endogenous model

Question 5

According to Tabachnick and Fidell (2013), data with a moderate positive skew should be transformed with _____.

Accepted Answer

A)  a square root transformation 
B)  a logarithmic transformation 
C)  a reflecting strategy 
D)  a strategy that corrects data-entry errors 
A)  a square root transformation 
B)  a logarithmic transformation 
C)  a reflecting strategy 
D)  a strategy that corrects data-entry errors

Question 6

In the absence of any well-specified theory, you should usually choose:

Accepted Answer

A)  hierarchical regression. 
B)  simple regression. 
C)  stepwise regression. 
D)  All of the answers are correct. 
A)  hierarchical regression. 
B)  simple regression. 
C)  stepwise regression. 
D)  All of the answers are correct.

Question 7

The values of measured variables fail to determine the value of a latent variable.

Accepted Answer

A) True 
 B)False

Question 8

According to Tabachnick and Fidell (2013), _____ is related to normality and is the assumption that "the variability in scores on one variable is roughly the same at all values of the other variable."

Accepted Answer

A)  linearity 
B)  homoscedasticity 
C)  multicollinearity 
D)  canonicity 
A)  linearity 
B)  homoscedasticity 
C)  multicollinearity 
D)  canonicity

Question 9

The Roy-Bargman test should be used in the absence of a theoretically or empirically based order of entry.

Accepted Answer

A) True 
 B)False

Question 10

In _____ regression, you specify the order in which variables are entered into the regression equation.

Accepted Answer

A)  simple 
B)  stepwise 
C)  hierarchical 
D)  partial 
A)  simple 
B)  stepwise 
C)  hierarchical 
D)  partial

Question 11

A beta weight for a given predictor variable may be high because it directly produces most of the variance in a dependent variable.

Accepted Answer

A) True 
 B)False

Question 12

The strength of a factor is indicated by its:

Accepted Answer

A)  eigenvalue. 
B)  factor loading. 
C)  structure correlation. 
D)  autocorrelation. 
A)  eigenvalue. 
B)  factor loading. 
C)  structure correlation. 
D)  autocorrelation.

Question 13

The difference between the true value of a variable and the observed variable is the:

Accepted Answer

A)  standard error. 
B)  error of measurement. 
C)  Type III error. 
D)  alpha error. 
A)  standard error. 
B)  error of measurement. 
C)  Type III error. 
D)  alpha error.

Question 14

The _____ is the average of the discriminant function scores calculated within a group.

Accepted Answer

A)  multivariate mean 
B)  geometric mean 
C)  centroid 
D)  None of the answers is correct. 
A)  multivariate mean 
B)  geometric mean 
C)  centroid 
D)  None of the answers is correct.

Question 15

An alternative to using beta weights to determine the unique contribution of each predictor is to use squared semipartial correlations instead.

Accepted Answer

A) True 
 B)False

Question 16

Discuss why you should exercise caution when using multivariate statistics in your data.

Accepted Answer

Using multivariate statistics in data an

Question 17

Which of the following statements is true of multivariate statistics?

Accepted Answer

A)  Fewer subjects are needed for multivariate statistics than for univariate or bivariate statistics. 
B)  They are unaffected by the violation of assumptions that underlie them. 
C)  Outliers do not pose a major problem for multivariate statistics. 
D)  Fairly large sample sizes are needed for multivariate statistics. 
A)  Fewer subjects are needed for multivariate statistics than for univariate or bivariate statistics. 
B)  They are unaffected by the violation of assumptions that underlie them. 
C)  Outliers do not pose a major problem for multivariate statistics. 
D)  Fairly large sample sizes are needed for multivariate statistics.

Question 18

A _____ is a deviant score on a combination of variables from a single source.

Accepted Answer

A)  univariate outlier 
B)  multivariate outlier 
C)  compound outlier 
D)  sampling anomaly 
A)  univariate outlier 
B)  multivariate outlier 
C)  compound outlier 
D)  sampling anomaly

Question 19

Curved arrows in a path model indicate causal relationships.

Accepted Answer

A) True 
 B)False

Question 20

Discuss the major assumptions and requirements of multivariate statistics. Explain how violations of these assumptions and requirements affect the outcome of your analysis.

Accepted Answer

Multivariate statistics involves the ana

_____ can arise from many sources, including inaccurate, incomplete, or biased sources of information.

According to Tabachnick and Fidell (2013), identify a true statement about principal factors analysis.

_____ results when variables in your analysis are highly correlated.

A(n) _____ consists of a sequence of events that eventually leads to variation in a dependent variable.

According to Tabachnick and Fidell (2013), data with a moderate positive skew should be transformed with _____.

In the absence of any well-specified theory, you should usually choose:

The values of measured variables fail to determine the value of a latent variable.

According to Tabachnick and Fidell (2013), _____ is related to normality and is the assumption that "the variability in scores on one variable is roughly the same at all values of the other variable."

The Roy-Bargman test should be used in the absence of a theoretically or empirically based order of entry.

In _____ regression, you specify the order in which variables are entered into the regression equation.

A beta weight for a given predictor variable may be high because it directly produces most of the variance in a dependent variable.

The strength of a factor is indicated by its:

The difference between the true value of a variable and the observed variable is the:

The _____ is the average of the discriminant function scores calculated within a group.

An alternative to using beta weights to determine the unique contribution of each predictor is to use squared semipartial correlations instead.

Discuss why you should exercise caution when using multivariate statistics in your data.

Which of the following statements is true of multivariate statistics?

A _____ is a deviant score on a combination of variables from a single source.

Curved arrows in a path model indicate causal relationships.

Discuss the major assumptions and requirements of multivariate statistics. Explain how violations of these assumptions and requirements affect the outcome of your analysis.

Explaining Behavior

Developing and Evaluating Theories of Behavior

Getting Ideas for Research

Choosing a Research Design

Making Systematic Observations

Choosing and Using Research Subjects

Understanding Ethical Issues in the Research Process

Doing Nonexperimental Research

Doing Survey Research

Using Between-Subjects and Within-Subjects Experimental Designs

Using Specialized Research Designs

Using Single-Subject Designs

Describing Data

Using Inferential Statistics

Reporting Your Research Results

Filters

Exam 15: Using Multivariate Design and Analysis

_____ can arise from many sources, including inaccurate, incomplete, or biased sources of information.

According to Tabachnick and Fidell (2013), identify a true statement about principal factors analysis.

_____ results when variables in your analysis are highly correlated.

A(n) _____ consists of a sequence of events that eventually leads to variation in a dependent variable.

According to Tabachnick and Fidell (2013), data with a moderate positive skew should be transformed with _____.

In the absence of any well-specified theory, you should usually choose:

The values of measured variables fail to determine the value of a latent variable.

According to Tabachnick and Fidell (2013), _____ is related to normality and is the assumption that "the variability in scores on one variable is roughly the same at all values of the other variable."

The Roy-Bargman test should be used in the absence of a theoretically or empirically based order of entry.

In _____ regression, you specify the order in which variables are entered into the regression equation.

A beta weight for a given predictor variable may be high because it directly produces most of the variance in a dependent variable.

The strength of a factor is indicated by its:

The difference between the true value of a variable and the observed variable is the:

The _____ is the average of the discriminant function scores calculated within a group.

An alternative to using beta weights to determine the unique contribution of each predictor is to use squared semipartial correlations instead.

Discuss why you should exercise caution when using multivariate statistics in your data.

Which of the following statements is true of multivariate statistics?

A _____ is a deviant score on a combination of variables from a single source.

Curved arrows in a path model indicate causal relationships.

Discuss the major assumptions and requirements of multivariate statistics. Explain how violations of these assumptions and requirements affect the outcome of your analysis.

Explaining Behavior

Developing and Evaluating Theories of Behavior

Getting Ideas for Research

Choosing a Research Design

Making Systematic Observations

Choosing and Using Research Subjects

Understanding Ethical Issues in the Research Process

Doing Nonexperimental Research

Doing Survey Research

Using Between-Subjects and Within-Subjects Experimental Designs

Using Specialized Research Designs

Using Single-Subject Designs

Describing Data

Using Inferential Statistics

Reporting Your Research Results

Filters