Question 1

When a researcher is attempting to predict sales volume by using building permits, amount of advertising, and the income levels of residents, the researcher is using _____.
A) univariate analysis
B) a chi-square analysis
C) multiple regression analysis
D) factor analysis

Accepted Answer

The researcher is using multiple regression analysis, which involves predicting a dependent variable (in this case, sales volume) based on multiple independent variables (building permits, advertising, and income levels). Option A, univariate analysis, involves analyzing a single variable at a time. Option B, chi-square analysis, is used to analyze the relationship between two categorical variables. Option D, factor analysis, is used to analyze the underlying factors or dimensions that explain the correlation between multiple variables.

Question 2

Which of the following is a dependence method of analysis?
A) structural equations modeling
B) multiple regression analysis
C) multiple discriminant analysis
D) all of these choices

Accepted Answer

All the listed methods (structural equations modeling, multiple regression analysis, and multiple discriminant analysis) are dependence methods of analysis, as they involve understanding the relationship between dependent and independent variables.

Question 3

All of the following are examples of interdependence methods of analysis EXCEPT _____.
A) factor analysis
B) cluster analysis
C) multidimensional scaling
D) conjoint analysis

Accepted Answer

The answer of All of the following are examples of...

Question 4

Nominal and ordinal scales are examples of ______ scales, while interval and ratio scales are examples of ______ scales.
A) metric; co-metric
B) nonmetric; metric
C) nonmetric; advanced
D) metric; continuous

Accepted Answer

Nominal and ordinal scales are nonmetric scales as they measure categories or rank order, while interval and ratio scales are metric scales as they measure quantities and have a fixed unit of measurement.

Question 5

Which of the following is an example of an interdependence analysis method?
A) multidimensional scaling
B) multiple regression analysis
C) conjoint analysis
D) all of these choices

Accepted Answer

The answer of Which of the following is an example...

Question 6

Multidimensional scaling provides a means for placing objects in multidimensional space on the basis of respondents' judgments of the similarity of objects.

Accepted Answer

Multidimensional scaling is indeed a method for placing objects in multidimensional space based on similarity judgments.

Question 7

Which analysis is portrayed by the equation: Y = b_o + b₁X₁ + b₂X₂ + b₃X₃... + b_nX_n? A) simple regression B) multiple regression C) chi-square D) factor analysis

Accepted Answer

The equation shows multiple regression analysis, as it includes multiple predictor variables (_o, ₁X₁, etc.) and one outcome variable (Y).

Question 8

Factor analysis is considered a data reduction technique.

Accepted Answer

Factor analysis is a statistical method that helps to reduce the complexity of data by identifying patterns and relationships between variables in a dataset. It is used to identify a few underlying factors that can explain the observed patterns in the data. Therefore, factor analysis is considered a data reduction technique.

Question 9

When a multivariate statistical technique is used to predict job satisfaction from several independent variables, such as age, salary, and number of years in that position, the researcher is studying _____.
A) dependence
B) independence
C) interdependence
D) segments

Accepted Answer

The researcher is studying dependence because they are examining how job satisfaction (the dependent variable) is influenced by several independent variables (age, salary, and number of years in the position).

Question 10

Which type of analysis involves three or more variables?
A) univariate statistical analysis
B) bivariate statistical analysis
C) multivariate statistical analysis
D) all of these choices

Accepted Answer

Multivariate statistical analysis involves the analysis of three or more variables simultaneously, while univariate analysis involves the analysis of one variable and bivariate analysis involves analyzing the relationship between two variables.

Question 11

All of the following are examples of dependence methods of analysis EXCEPT _____.
A) multiple regression analysis
B) multiple discriminant analysis
C) cluster analysis
D) multivariate analysis of variance

Accepted Answer

Cluster analysis is an example of an interdependence method of analysis, not a dependence method. The other options listed are examples of dependence methods of analysis.

Question 12

In cluster analysis, each cluster should have low internal homogeneity and high external heterogeneity.

Accepted Answer

The cluster should have high internal (within-cluster)homogeneity and external (between-cluster)heterogeneity.

Question 13

The two basic groups of multivariate techniques are _____.
A) dependence methods and interdependence methods
B) primary methods and secondary methods
C) simple methods and complex methods
D) partial methods and complete methods

Accepted Answer

The two basic groups of multivariate techniques are dependence methods, which analyze the relationship between the dependent variable and one or more independent variables, and interdependence methods, which analyze the relationship between multiple independent variables.

Question 14

If the analysis contains only one dependent variable and that variable is metric, the appropriate statistical analysis is:
A) multiple discriminant analysis
B) conjoint analysis
C) multivariate ANOVA
D) multiple regression

Accepted Answer

Multiple regression is the appropriate statistical analysis in this case as it is used when there is only one dependent variable that is metric. It allows us to examine the relationship between the dependent variable and multiple independent variables simultaneously. Multiple discriminant analysis is used for predicting group membership, conjoint analysis is used for predicting preferences, and multivariate ANOVA is used when there are multiple dependent variables.

Question 15

In regression analysis, the symbol X is commonly used for the ______ variable, and the symbol Y is commonly used for the ______ variable.
A) dependent; moderating
B) independent; dependent
C) dependent; independent
D) independent; moderating

Accepted Answer

In regression analysis, the independent variable (or predictor variable) is the variable used to predict or explain variance in the dependent variable (or outcome variable). Therefore, the symbol X is commonly used for the independent variable, and the symbol Y is commonly used for the dependent variable. Choice B correctly identifies X as the independent variable and Y as the dependent variable.

Question 16

Which of the following is a mathematical way in which a set of variables can be represented with one equation?
A) structuralism
B) variate
C) ANOVA
D) synergy

Accepted Answer

The mathematical way in which a set of variables can be represented with one equation is called a variate. Structuralism is a philosophical approach to understanding human culture and society. ANOVA (Analysis of Variance) is a statistical method used to analyze the differences between group means. Synergy refers to the combined effort or interaction between people or components to produce a greater effect than the sum of their individual effects.

Question 17

Mulitvariate dependence techniques are variants of the _____, which is a way of modeling some process based on how different variables cause fluctuations from the average dependent variable.
A) ordinary linear model (OLM)
B) weighted average model (WAM)
C) general linear model (GLM)
D) metric scaling model (MSM)

Accepted Answer

Multivariate dependence techniques are variants of the general linear model (GLM), which is a way of modeling some process based on how different variables cause fluctuations from the average dependent variable. GLM can handle both continuous and categorical predictor variables and can model non-linear relationships through the use of transformations. OLM is a simple linear regression model that only handles one predictor variable, while WAM and MSM are not commonly used modeling techniques for multivariate dependence.

Question 18

Which of the following is an appropriate technique when the inputs are metric?
A) cluster analysis
B) metric multidimensional scaling
C) factor analysis
D) all of these choices

Accepted Answer

All of these techniques can be used with metric inputs because they all preserve the distances between the data points.

Question 19

In factor analysis, communality is a measure of the percentage of a variable's variation that can be explained by the factors.

Accepted Answer

This is a correct definition of communality in factor analysis.

Question 20

The rule of parsimony basically means "less is better."

Accepted Answer

The rule of parsimony, also known as Occam's Razor, advises choosing the simplest explanation that fits the observed data, therefore "less is better."

Quiz 24: Multivariate Statistical Analysis

When a researcher is attempting to predict sales volume by using building permits, amount of advertising, and the income levels of residents, the researcher is using _____.

Which of the following is a dependence method of analysis?

All of the following are examples of interdependence methods of analysis EXCEPT _____.

Nominal and ordinal scales are examples of scales, while interval and ratio scales are examples of scales.

Which of the following is an example of an interdependence analysis method?

Multidimensional scaling provides a means for placing objects in multidimensional space on the basis of respondents' judgments of the similarity of objects.

Which analysis is portrayed by the equation: Y = b_o + b₁X₁ + b₂X₂ + b₃X₃... + b_nX_n?

Factor analysis is considered a data reduction technique.

When a multivariate statistical technique is used to predict job satisfaction from several independent variables, such as age, salary, and number of years in that position, the researcher is studying _____.

Which type of analysis involves three or more variables?

All of the following are examples of dependence methods of analysis EXCEPT _____.

In cluster analysis, each cluster should have low internal homogeneity and high external heterogeneity.

The two basic groups of multivariate techniques are _____.

If the analysis contains only one dependent variable and that variable is metric, the appropriate statistical analysis is:

In regression analysis, the symbol X is commonly used for the variable, and the symbol Y is commonly used for the variable.

Which of the following is a mathematical way in which a set of variables can be represented with one equation?

Mulitvariate dependence techniques are variants of the _____, which is a way of modeling some process based on how different variables cause fluctuations from the average dependent variable.

Which of the following is an appropriate technique when the inputs are metric?

In factor analysis, communality is a measure of the percentage of a variable's variation that can be explained by the factors.

The rule of parsimony basically means "less is better."

Quiz 24: Multivariate Statistical Analysis

When a researcher is attempting to predict sales volume by using building permits, amount of advertising, and the income levels of residents, the researcher is using _____.

Which of the following is a dependence method of analysis?

All of the following are examples of interdependence methods of analysis EXCEPT _____.

Nominal and ordinal scales are examples of ______ scales, while interval and ratio scales are examples of ______ scales.

Which of the following is an example of an interdependence analysis method?

Multidimensional scaling provides a means for placing objects in multidimensional space on the basis of respondents' judgments of the similarity of objects.

Which analysis is portrayed by the equation: Y = bo + b1X1 + b2X2 + b3X3... + bnXn?

Factor analysis is considered a data reduction technique.

When a multivariate statistical technique is used to predict job satisfaction from several independent variables, such as age, salary, and number of years in that position, the researcher is studying _____.

Which type of analysis involves three or more variables?

All of the following are examples of dependence methods of analysis EXCEPT _____.

In cluster analysis, each cluster should have low internal homogeneity and high external heterogeneity.

The two basic groups of multivariate techniques are _____.

If the analysis contains only one dependent variable and that variable is metric, the appropriate statistical analysis is:

In regression analysis, the symbol X is commonly used for the ______ variable, and the symbol Y is commonly used for the ______ variable.

Which of the following is a mathematical way in which a set of variables can be represented with one equation?

Mulitvariate dependence techniques are variants of the _____, which is a way of modeling some process based on how different variables cause fluctuations from the average dependent variable.

Which of the following is an appropriate technique when the inputs are metric?

In factor analysis, communality is a measure of the percentage of a variable's variation that can be explained by the factors.

The rule of parsimony basically means "less is better."

Nominal and ordinal scales are examples of scales, while interval and ratio scales are examples of scales.

Which analysis is portrayed by the equation: Y = b_o + b₁X₁ + b₂X₂ + b₃X₃... + b_nX_n?

In regression analysis, the symbol X is commonly used for the variable, and the symbol Y is commonly used for the variable.