Question 1

Which of the following is a multivariate statistical technique used to analyze correlational data?

Accepted Answer

A)  Multiple regression 
B)  Discriminant analysis 
C)  Canonical correlation 
D)  All of the answers are correct. 
A)  Multiple regression 
B)  Discriminant analysis 
C)  Canonical correlation 
D)  All of the answers are correct.

Question 2

_____ is used in situations where you may want to examine the relationship between two variables when the influence of a third is removed from only one 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 3

In structural equation modeling (SEM), researchers can evaluate the relationships among measured variables and hypothetical constructs within the models that they test.

Accepted Answer

A) True 
 B)False

Question 4

Discuss the applications of loglinear analysis. Give research examples in which you would consider using loglinear analysis.

Accepted Answer

Loglinear analysis is a statistical tech

Question 5

Structural equation modeling (SEM) is normally used as an exploratory procedure.

Accepted Answer

A) True 
 B)False

Question 6

Variables that begin a causal chain are called endogenous variables.

Accepted Answer

A) True 
 B)False

Question 7

Explain the terms "multiple R" and "R-square." Describe how beta weights and squared semipartial correlations help determine the unique contribution of each predictor variable in multiple regression analysis.

Accepted Answer

Multiple R and R-square are terms used i

Which of the following is a multivariate statistical technique used to analyze correlational data?

_____ is used in situations where you may want to examine the relationship between two variables when the influence of a third is removed from only one of these variables.

In structural equation modeling (SEM), researchers can evaluate the relationships among measured variables and hypothetical constructs within the models that they test.

Discuss the applications of loglinear analysis. Give research examples in which you would consider using loglinear analysis.

Structural equation modeling (SEM) is normally used as an exploratory procedure.

Variables that begin a causal chain are called endogenous variables.

Explain the terms "multiple R" and "R-square." Describe how beta weights and squared semipartial correlations help determine the unique contribution of each predictor variable in multiple regression 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

Which of the following is a multivariate statistical technique used to analyze correlational data?

_____ is used in situations where you may want to examine the relationship between two variables when the influence of a third is removed from only one of these variables.

In structural equation modeling (SEM), researchers can evaluate the relationships among measured variables and hypothetical constructs within the models that they test.

Discuss the applications of loglinear analysis. Give research examples in which you would consider using loglinear analysis.

Structural equation modeling (SEM) is normally used as an exploratory procedure.

Variables that begin a causal chain are called endogenous variables.

Explain the terms "multiple R" and "R-square." Describe how beta weights and squared semipartial correlations help determine the unique contribution of each predictor variable in multiple regression 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