Question 1

In the context of discriminant analysis, the number of discriminant functions extracted is limited to the number of:

Accepted Answer

A)  predictors. 
B)  levels of the dependent variable minus 1. 
C)  predictors or to the number of levels of the dependent variable minus 1, whichever is smaller. 
D)  dependent variables. 
A)  predictors. 
B)  levels of the dependent variable minus 1. 
C)  predictors or to the number of levels of the dependent variable minus 1, whichever is smaller. 
D)  dependent variables.

Question 2

In the real world of research, the observed value of a variable _____ the true value of that variable.

Accepted Answer

A)  is the same as 
B)  is always higher than 
C)  is always lower than 
D)  usually differs from 
A)  is the same as 
B)  is always higher than 
C)  is always lower than 
D)  usually differs from

Question 3

When considering the correlations among dependent variables, multivariate statistical tests tend to be more powerful than separate univariate tests.

Accepted Answer

A) True 
 B)False

Question 4

Which of the following statements is true of exogenous variables?

Accepted Answer

A)  They begin a causal sequence. 
B)  No causal paths lead to these variables. 
C)  They can sometimes be correlated. 
D)  All of the answers are correct. 
A)  They begin a causal sequence. 
B)  No causal paths lead to these variables. 
C)  They can sometimes be correlated. 
D)  All of the answers are correct.

Question 5

Oblique rotation assumes that measures are uncorrelated and consequently that the factors extracted are uncorrelated.

Accepted Answer

A) True 
 B)False

Question 6

_____ allows you to examine the relationship between two variables with the effect of a third variable removed from both of these variables.

Accepted Answer

A)  Partial correlation 
B)  Part correlation 
C)  Factor analysis 
D)  Multiple regression 
A)  Partial correlation 
B)  Part correlation 
C)  Factor analysis 
D)  Multiple regression

Question 7

Wright's rules are used to:

Accepted Answer

A)  decompose paths into indirect effects. 
B)  determine the degree of causal connection between different exogenous variables. 
C)  determine the degree of causal connection between different endogenous variables. 
D)  determine the degree of causal connection between endogenous and exogenous variables. 
A)  decompose paths into indirect effects. 
B)  determine the degree of causal connection between different exogenous variables. 
C)  determine the degree of causal connection between different endogenous variables. 
D)  determine the degree of causal connection between endogenous and exogenous variables.

Question 8

Principal factors analysis completes a correlation matrix with _____ along the diagonal.

Accepted Answer

A)  communalities 
B)  rotated factor loadings 
C)  eigenvalues 
D)  ones 
A)  communalities 
B)  rotated factor loadings 
C)  eigenvalues 
D)  ones

Question 9

_____ is used when your dependent variable is categorical and you have several predictor variables.

Accepted Answer

A)  Multiple regression 
B)  Canonical correlation 
C)  Factor analysis 
D)  Discriminant analysis 
A)  Multiple regression 
B)  Canonical correlation 
C)  Factor analysis 
D)  Discriminant analysis

Question 10

When dealing with outliers, identify the first step in reflecting.

Accepted Answer

A)  To subtract each score from the highest score in a distribution 
B)  To apply either a square root or logarithmic transformation 
C)  To check for transcription and other data-entry errors 
D)  To delete from the analysis all data from the variable containing the outlier 
A)  To subtract each score from the highest score in a distribution 
B)  To apply either a square root or logarithmic transformation 
C)  To check for transcription and other data-entry errors 
D)  To delete from the analysis all data from the variable containing the outlier

Question 11

According to Tabachnick and Fidell (2013), an alternative to using beta weights to determine the unique contribution of each predictor is to use _____ instead.

Accepted Answer

A)  factor loadings 
B)  structure correlations 
C)  squared semipartial correlations 
D)  R-square 
A)  factor loadings 
B)  structure correlations 
C)  squared semipartial correlations 
D)  R-square

Question 12

In factor analysis, each _____ is the correlation between a measure and an underlying factor.

Accepted Answer

A)  beta weight 
B)  discriminant function 
C)  factor loading 
D)  structure correlation 
A)  beta weight 
B)  discriminant function 
C)  factor loading 
D)  structure correlation

Question 13

Explain exogenous and endogenous variables with the help of causal models. Describe how to interpret path analysis.

Accepted Answer

In causal modeling, exogenous variables

Question 14

_____ is the correlation between the predicted values of Y and the observed values of Y.

Accepted Answer

A)  R-square 
B)  Beta weight 
C)  Factor loading 
D)  Multiple R 
A)  R-square 
B)  Beta weight 
C)  Factor loading 
D)  Multiple R

Question 15

Differentiate between univariate and multivariate strategies. Describe the advantages of a multivariate experimental strategy over a univariate strategy.

Accepted Answer

Univariate and multivariate strategies a

Question 16

Path analysis is designed to sift through data for interesting relationships among variables.

Accepted Answer

A) True 
 B)False

Question 17

Research situations in which categorical variables are measured or manipulated are most effectively analyzed with:

Accepted Answer

A)  MANOVA. 
B)  ANOVA. 
C)  factor analysis. 
D)  loglinear analysis. 
A)  MANOVA. 
B)  ANOVA. 
C)  factor analysis. 
D)  loglinear analysis.

Question 18

_____ is a variation of multiple regression in which the dependent or criterion variable is measured nominally.

Accepted Answer

A)  Partial correlation 
B)  Discriminant analysis 
C)  Canonical correlation 
D)  Factor analysis 
A)  Partial correlation 
B)  Discriminant analysis 
C)  Canonical correlation 
D)  Factor analysis

Question 19

_____ are used as estimates of the magnitude of causal relationships among variables.

Accepted Answer

A)  Structure correlations 
B)  Path coefficients 
C)  Factor loadings 
D)  Discriminant functions 
A)  Structure correlations 
B)  Path coefficients 
C)  Factor loadings 
D)  Discriminant functions

Question 20

Which of the following is a purely descriptive strategy and fails to infer causal relationships?

Accepted Answer

A)  Discriminant analysis 
B)  Canonical correlation 
C)  Factor analysis 
D)  Part correlation 
A)  Discriminant analysis 
B)  Canonical correlation 
C)  Factor analysis 
D)  Part correlation

In the context of discriminant analysis, the number of discriminant functions extracted is limited to the number of:

In the real world of research, the observed value of a variable _____ the true value of that variable.

When considering the correlations among dependent variables, multivariate statistical tests tend to be more powerful than separate univariate tests.

Which of the following statements is true of exogenous variables?

Oblique rotation assumes that measures are uncorrelated and consequently that the factors extracted are uncorrelated.

_____ allows you to examine the relationship between two variables with the effect of a third variable removed from both of these variables.

Wright's rules are used to:

Principal factors analysis completes a correlation matrix with _____ along the diagonal.

_____ is used when your dependent variable is categorical and you have several predictor variables.

When dealing with outliers, identify the first step in reflecting.

According to Tabachnick and Fidell (2013), an alternative to using beta weights to determine the unique contribution of each predictor is to use _____ instead.

In factor analysis, each _____ is the correlation between a measure and an underlying factor.

Explain exogenous and endogenous variables with the help of causal models. Describe how to interpret path analysis.

_____ is the correlation between the predicted values of Y and the observed values of Y.

Differentiate between univariate and multivariate strategies. Describe the advantages of a multivariate experimental strategy over a univariate strategy.

Path analysis is designed to sift through data for interesting relationships among variables.

Research situations in which categorical variables are measured or manipulated are most effectively analyzed with:

_____ is a variation of multiple regression in which the dependent or criterion variable is measured nominally.

_____ are used as estimates of the magnitude of causal relationships among variables.

Which of the following is a purely descriptive strategy and fails to infer causal relationships?

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

In the context of discriminant analysis, the number of discriminant functions extracted is limited to the number of:

In the real world of research, the observed value of a variable _____ the true value of that variable.

When considering the correlations among dependent variables, multivariate statistical tests tend to be more powerful than separate univariate tests.

Which of the following statements is true of exogenous variables?

Oblique rotation assumes that measures are uncorrelated and consequently that the factors extracted are uncorrelated.

_____ allows you to examine the relationship between two variables with the effect of a third variable removed from both of these variables.

Wright's rules are used to:

Principal factors analysis completes a correlation matrix with _____ along the diagonal.

_____ is used when your dependent variable is categorical and you have several predictor variables.

When dealing with outliers, identify the first step in reflecting.

According to Tabachnick and Fidell (2013), an alternative to using beta weights to determine the unique contribution of each predictor is to use _____ instead.

In factor analysis, each _____ is the correlation between a measure and an underlying factor.

Explain exogenous and endogenous variables with the help of causal models. Describe how to interpret path analysis.

_____ is the correlation between the predicted values of Y and the observed values of Y.

Differentiate between univariate and multivariate strategies. Describe the advantages of a multivariate experimental strategy over a univariate strategy.

Path analysis is designed to sift through data for interesting relationships among variables.

Research situations in which categorical variables are measured or manipulated are most effectively analyzed with:

_____ is a variation of multiple regression in which the dependent or criterion variable is measured nominally.

_____ are used as estimates of the magnitude of causal relationships among variables.

Which of the following is a purely descriptive strategy and fails to infer causal relationships?

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