Question 1

Which of the following advanced procedures is characterized by the use of more than one dependent variable?
A) ANOVA
B) ANCOVA
C) Repeated measures
D) MANOVA

Accepted Answer

MANOVA (multivariate analysis of variance) involves the use of more than one dependent variable, with the aim of understanding the relationship between the dependent and independent variables in a multivariate context. ANOVA (analysis of variance) involves a single dependent variable, ANCOVA (analysis of covariance) involves a single dependent variable while controlling for one or more covariates, and repeated measures involve the same dependent variable measured at different time points or conditions.

Question 2

If you want to equalize initial differences between two groups before examining group differences, what procedure would you use?
A) ANOVA
B) ANCOVA
C) Repeated measures
D) MANOVA

Accepted Answer

ANCOVA (analysis of covariance) is the procedure used to equalize initial differences between two groups before examining group differences. ANCOVA adjusts for the influence of a covariate (a variable known to have an effect on the outcome) by including it in the analysis as an independent variable. This allows for a more accurate comparison of the group means and reduces the likelihood of any initial differences impacting the results.

Question 3

Which regression analysis has more than one predictor variable?
A) multiple
B) covariance
C) repeated measures
D) factor

Accepted Answer

Multiple regression analysis involves the use of more than one predictor variable to predict an outcome variable. Therefore, A is the correct choice. The other options (B, C, D) involve different types of statistical analyses that do not have multiple predictor variables.

Question 4

Which of these allows you to determine the best combination of dependent variables?
A) MANOVA
B) SEM
C) EFA
D) ANCOVA

Accepted Answer

MANOVA allows you to determine the best combination of dependent variables by examining the relationships between multiple dependent variables and one or more independent variables.

Question 5

The major difference between SEM and other advanced techniques, such as factor analysis, is that SEM is what type of technique?
A) confirmatory
B) exploratory
C) compensatory
D) factorial

Accepted Answer

SEM is a confirmatory technique, meaning it is used to confirm or test hypotheses or previously developed model. On the other hand, factor analysis is an exploratory technique used to identify underlying factors or dimensions that explain the correlations among a set of variables.

Question 6

What type of analysis examines the direction of relationships through the postulation of some theoretical relationship between variables and then uses a test to see if the direction of these relationships is substantiated by the data?
A) data mining
B) repeated measures
C) path analysis
D) factor analysis

Accepted Answer

Path analysis examines the direction of relationships between variables by postulating a theoretical relationship and then testing if the data supports this relationship. Data mining involves searching through large amounts of data to find patterns and relationships, repeated measures involves measuring the same individuals or groups multiple times, and factor analysis is a statistical technique used to identify the underlying factors that contribute to the variation in a set of observed variables.

Question 7

Which of the following is sometimes referred to as an "umbrella" term for techniques such as regression, path analysis, and factor analysis?
A) MANOVA
B) SEM
C) EFA
D) ANCOVA

Accepted Answer

SEM (Structural Equation Modeling) is sometimes referred to as an "umbrella" term for techniques such as regression, path analysis, and factor analysis. MANOVA, EFA, and ANCOVA are not typically considered to be part of SEM.

Question 8

Which of these is a way to look for patterns in sets of data, which was first used by the business community looking at (and for) financial trends?
A) data mining
B) repeated measures
C) path analysis
D) factor analysis

Accepted Answer

Data mining is a way to look for patterns in sets of data, which was first used by the business community looking at (and for) financial trends. Repeated measures involve taking the same measurement at different points in time. Path analysis and factor analysis are statistical techniques used to study relationships between variables.

Question 9

Of the following, which procedure is sometimes referred to as a "data reduction" method because it allows a researcher to explore how items on a particular measure cluster together?
A) Path analysis
B) SEM
C) Factor analysis
D) MANOVA

Accepted Answer

Factor analysis is a statistical method often called a "data reduction" technique because it helps researchers to identify underlying factors, or dimensions, within a set of observed variables. It is used to explore relationships among observed variables and group them based on the extent to which they are related to each other. Path analysis, structural equation modeling (SEM), and multivariate analysis of variance (MANOVA) are not typically referred to as "data reduction" methods.

Question 10

Which ANOVA uses more than one dependent variable?
A) repeated measures
B) path analysis
C) covariance
D) multivariate

Accepted Answer

Multivariate ANOVA (MANOVA) uses multiple dependent variables to analyze the differences between groups, making it the best choice for this type of analysis. The other options listed only involve one dependent variable.

Question 11

Of the following, which analysis can test relationships over time?
A) repeated measures
B) covariance
C) path analysis
D) ANOVA

Accepted Answer

Repeated measures analysis is designed to test within-subjects effects in a study over time, making it the best choice for testing relationships over time. This analysis is used when samples from a specified population are examined at different points in time.

Question 12

What type of analysis examines how well items are related to each other?
A) multiple
B) covariance
C) repeated measures
D) factor

Accepted Answer

Factor analysis examines how well items are related to each other and identifies which items are measuring the same underlying construct or factor.

Question 13

In order to equalize groups on initial differences, which analysis should be used?
A) repeated measures
B) covariance
C) path analysis
D) ANOVA

Accepted Answer

Covariance analysis is used to adjust for initial differences in groups by controlling for a covariate (a variable that is related to both the independent and dependent variables), allowing for a more accurate comparison of group means. Repeated measures are used when the same individuals are measured multiple times, path analysis is used to model complex causal relationships among variables, and ANOVA is used to compare means between two or more groups.

Question 14

Which Excel data analysis tool is applied to determine how more than one variable can predict another?
A) Correlation
B) Regression
C) Covariance
D) ANOVA

Accepted Answer

Regression is the Excel data analysis tool that is applied to determine how more than one variable can predict another. It is used when we want to predict a dependent variable (outcome) based on the values of multiple independent variables (predictors).

Question 15

For which of the following procedures can you use the Excel Data Analysis Toolpak procedure ANOVA: Two Factor with Replication?
A) ANOVA
B) ANCOVA
C) Repeated measures
D) MANOVA

Accepted Answer

The answer of For which of the following procedures can...

Question 16

Which of the following is a path analysis technique used to present results in a graphical representation of the relationship between all the different factors under consideration?
A) data mining
B) structural equation modeling
C) covariance
D) ANOVA

Accepted Answer

Structural equation modeling is a path analysis technique that is used to present results in a graphical representation of the relationship between all the different factors under consideration. A, C, and D are not path analysis techniques specifically used to present relationships between different factors.

Question 17

Which of the following examines data to see if a theoretical relationship is sustained?
A) repeated measures
B) covariance
C) path analysis
D) ANOVA

Accepted Answer

Path analysis is a statistical method that examines the relationship between variables in a proposed theoretical model. It tests whether the data collected supports the assumed relationship between the variables. Repeated measures and ANOVA examine differences between groups or conditions, while covariance examines the extent to which two variables are related.

Question 18

If a researcher wants to examine the direction of a relationship between two variables such that he or she posits that one variable causes the other, what type of statistical procedure would be used?
A) Correlation
B) ANOVA
C) Repeated measures
D) Path analysis

Accepted Answer

Path analysis is used to examine the direction of a relationship between two variables and determine whether one variable causes the other. It allows the researcher to test a hypothesized causal model by analyzing the relationships among multiple variables simultaneously. Correlation only examines the strength and direction of the relationship between two variables, while ANOVA and repeated measures are used to compare group means or differences within subjects over time, respectively.

Question 19

Which of the following allows you to equalize initial differences between groups?
A) analysis of variance
B) analysis of covariance
C) structural equation modeling
D) factor analysis

Accepted Answer

Analysis of covariance (ANCOVA) allows you to control for or equalize initial differences between groups by using a covariate, which is a variable that is related to the outcome variable but not to the grouping variable. ANCOVA adjusts for the effects of the covariate, making the groups more comparable and providing a more accurate estimate of the treatment effect.

Question 20

Which of the following examines group difference on just one dependent variable?
A) repeated measures
B) covariance
C) path analysis
D) ANOVA

Accepted Answer

ANOVA examines group differences on just one dependent variable.

Quiz 18: Some Other (Important) Statistical Procedures You Should Know About

Which of the following advanced procedures is characterized by the use of more than one dependent variable?

If you want to equalize initial differences between two groups before examining group differences, what procedure would you use?

Which regression analysis has more than one predictor variable?

Which of these allows you to determine the best combination of dependent variables?

The major difference between SEM and other advanced techniques, such as factor analysis, is that SEM is what type of technique?

What type of analysis examines the direction of relationships through the postulation of some theoretical relationship between variables and then uses a test to see if the direction of these relationships is substantiated by the data?

Which of the following is sometimes referred to as an "umbrella" term for techniques such as regression, path analysis, and factor analysis?

Which of these is a way to look for patterns in sets of data, which was first used by the business community looking at (and for) financial trends?

Of the following, which procedure is sometimes referred to as a "data reduction" method because it allows a researcher to explore how items on a particular measure cluster together?

Which ANOVA uses more than one dependent variable?

Of the following, which analysis can test relationships over time?

What type of analysis examines how well items are related to each other?

In order to equalize groups on initial differences, which analysis should be used?

Which Excel data analysis tool is applied to determine how more than one variable can predict another?

For which of the following procedures can you use the Excel Data Analysis Toolpak procedure ANOVA: Two Factor with Replication?

Which of the following is a path analysis technique used to present results in a graphical representation of the relationship between all the different factors under consideration?

Which of the following examines data to see if a theoretical relationship is sustained?

If a researcher wants to examine the direction of a relationship between two variables such that he or she posits that one variable causes the other, what type of statistical procedure would be used?

Which of the following allows you to equalize initial differences between groups?

Which of the following examines group difference on just one dependent variable?