Question 1

Which method is used to present the results in a graphical representation of the relationships among the different factors under consideration?
A)path analysis
B)SEM
C)factor analysis
D)eta analysis

Accepted Answer

Structural equation modeling (SEM) is a statistical method used to present relationships between different factors under consideration in a graphical representation. It is a flexible technique that can analyze complex relationships among variables simultaneously. Path analysis is a component of SEM that constructs a path diagram to depict the relationships among variables. Factor analysis is a different statistical technique that identifies underlying factors that explain the variation in observed variables. Eta analysis is not a valid statistical method.

Question 2

It is hard to determine clearly the effect of the treatment variable on any one outcome since the outcome variables are usually related to one another.Which test is most appropriate to use in this situation?
A)ANCOVA
B)path analysis
C)MANOVA
D)ANOVA

Accepted Answer

MANOVA (Multivariate Analysis of Variance) is most appropriate in situations where there are multiple interrelated outcome variables, as it allows for the analysis of the effect of independent variables on two or more dependent variables simultaneously, taking into account the intercorrelation among them.

Question 3

Which of the following statistical techniques is used to examine correlations but postulates a theorized direction,or causality,in the relationship between factors?
A)path analysis
B)factor analysis
C)multivariate analysis
D)analysis of covariance

Accepted Answer

Path analysis is used to examine correlations while also postulating a theorized direction or causality in the relationship between factors. It allows researchers to test a theoretical model of causal relationships among variables. The other options (B, C, and D) do not involve postulating a theorized direction or causality in the relationship between factors.

Question 4

What method was used to investigate the research question of what sets of variables discriminate between two sets of individuals?
A)analysis of variance
B)analysis of covariance
C)multiple regression
D)discriminant analysis

Accepted Answer

Discriminant analysis is specifically designed to identify the variables (predictors) that best discriminate between two or more groups (in this case, two sets of individuals). Analysis of variance and analysis of covariance are used to compare means between groups, but do not specifically identify the variables that contribute to group differences. Multiple regression is used to predict an outcome variable based on a set of predictors, but does not necessarily identify the predictors that discriminate between groups.

Question 5

What test is used to examine the impact of personality type on participants' interest in high-adrenaline sports,as well as interpretive dancing?
A)ANCOVA
B)path analysis
C)MANOVA
D)ANOVA

Accepted Answer

MANOVA (Multivariate Analysis of Variance) is used when there are multiple dependent variables, which in this case would be interest in high-adrenaline sports and interpretive dancing, and the independent variable is personality type. This allows for the examination of the impact of personality type on both interests simultaneously.

Question 6

MANOVA is most appropriate to use when you have ______.
A)one dependent variable
B)two independent variables and one dependent variable
C)two or more dependent variables
D)more than three independent variables

Accepted Answer

MANOVA is designed to analyze the relationship between multiple dependent variables and one or more independent variables. Therefore, it is most appropriate to use when you have two or more dependent variables.

Question 7

In what type of ANOVA is there one factor on which participants are tested more than once?
A)analysis of covariance
B)repeated measures
C)multivariate analysis
D)path analysis

Accepted Answer

In repeated measures ANOVA, participants are tested more than once, allowing for comparison of scores within the same subject.

Question 8

What is used as an umbrella term for techniques such as regression,path analysis,and factor analysis?
A)MANOVA
B)SEM
C)ANOVA
D)EFA

Accepted Answer

Structural equation modeling (SEM) is an umbrella term for techniques such as regression, path analysis, and factor analysis. MANOVA is a statistical technique for comparing group means on multiple dependent variables. ANOVA is a statistical technique for comparing group means on a single dependent variable. EFA, or exploratory factor analysis, is a specific type of factor analysis used to explore the underlying dimensions of a set of variables.

Question 9

Which of the following techniques is used when the goal is to represent those constructs that are related to one another by a more general name?
A)path analysis
B)ANOVA
C)factor analysis
D)multiple regression

Accepted Answer

Factor analysis is a statistical technique used to identify and analyze underlying factors or constructs that explain the variance among a set of observed variables. It is used when the goal is to represent those constructs that are related to one another by a more general name.

Question 10

The procedure that allows a researcher to explore how items on a particular measure cluster together is ______.
A)factor analysis
B)MANOVA
C)correlation
D)path analysis

Accepted Answer

Factor analysis allows a researcher to explore how items on a particular measure cluster together, identifying underlying factors or dimensions that may be driving the observed relationships between variables. MANOVA is a multivariate analysis of variance, which is used to test for differences across groups on multiple dependent variables. Correlation measures the degree of association between two variables. Path analysis is a statistical technique used to test theoretical models of causal relationships between variables, including direct and indirect effects.

Question 11

Which of the following advanced procedures uses more than one dependent variable?
A)ANOVA
B)ANCOVA
C)MANOVA
D)repeated-measures ANOVA

Accepted Answer

MANOVA (multivariate analysis of variance) is the advanced procedure that uses more than one dependent variable. It is used when there are multiple dependent variables and one independent variable. ANOVA (analysis of variance) only uses one dependent variable, ANCOVA (analysis of covariance) uses one dependent variable and one or more continuous independent variables, and repeated-measures ANOVA uses one dependent variable and one independent variable with repeated measures.

Question 12

Which of the following procedures is used to examine within-groups change over time?
A)ANOVA
B)ANCOVA
C)MANOVA
D)repeated-measures ANOVA

Accepted Answer

Repeated-measures ANOVA is used to examine within-groups change over time because it takes into account the correlated nature of repeated measurements on the same individuals. ANOVA, ANCOVA, and MANOVA are all group-level analyses that do not take into account within-individual changes over time.

Question 13

What method was used in generating this result: Mothers' literacy activities and mothers' level of education contributed significantly to children's language skills,whereas mothers' age and shared reading did not.
A)analysis of variance
B)analysis of covariance
C)multiple regression
D)logistic regression

Accepted Answer

The statement mentions "contributed significantly" which implies that a regression analysis was performed to determine the relationship between the different variables mentioned and their impact on children's language skills. Therefore, multiple regression is the most appropriate method used in generating this result.

Question 14

What statistical procedure is used to examine the direction of a relationship between two variables such that they posit that one variable causes the other?
A)correlation
B)ANOVA
C)MANOVA
D)path analysis

Accepted Answer

Path analysis is a statistical procedure used to examine the direction of a relationship between two variables such that they posit that one variable causes the other. It allows for the testing of a hypothesized causal model by estimating the strength and significance of the direct and indirect effects of one variable on another. Correlation measures the strength and direction of a relationship between two variables, but it does not indicate causation. ANOVA and MANOVA are used to compare means among two or more groups.

Question 15

Researchers collected data on many variables and then looked at the relationships among them.Those measures that seemed to contain items that were related were deemed ______.
A)paths
B)beta weights
C)repeated measures
D)factors

Accepted Answer

The measures that contain items that are related are called factors in statistical analysis, as they represent underlying constructs that are being measured. Paths refer to the connections between variables in a structural equation model, beta weights are coefficients used in regression analysis, and repeated measures refer to the same variable measured multiple times.

Question 16

In data analysis,researchers often use a technique based on how well various items are related to one another and form clusters.What technique is this?
A)path analysis
B)logistic regression
C)factor analysis
D)meta-analysis

Accepted Answer

The technique described is clustering, which involves grouping items together based on their similarity. Factor analysis is a statistical technique commonly used to identify the underlying factors that contribute to the similarities and differences between different items. Therefore, option C is the best choice. Path analysis is a statistical method used to determine the relationships between variables, logistic regression is a regression analysis used when the dependent variable is categorical or dichotomous, and meta-analysis is a statistical technique used to combine the results of multiple studies.

Question 17

When researchers combine data from several studies to examine patterns and trends,what analysis is being used?
A)path analysis
B)multiple regression
C)factor analysis
D)meta-analysis

Accepted Answer

Meta-analysis is the process of combining data from multiple studies to draw conclusions about patterns and trends. Path analysis, multiple regression, and factor analysis are all techniques used for analyzing a single data set, not combining data from multiple studies.

Question 18

Which of the following statistical techniques uses values of more than one variable to predict the value of another variable?
A)ANOVA
B)EFA
C)MANOVA
D)multiple regression

Accepted Answer

Multiple regression uses values of more than one variable to predict the value of another variable. ANOVA and MANOVA are used to test differences between groups, and EFA is used for exploring underlying factors in a set of variables.

Question 19

The goal in ______ analysis is to represent those things that are related to one another by a more general name.
A)path
B)logistic
C)factor
D)meta

Accepted Answer

Factor analysis is a statistical method used to identify patterns in the relationships between variables. Its goal is to represent those things that are related to one another by a more general name, or "factor." This allows researchers to identify underlying concepts or themes in their data and reduce the complexity of the information they are working with.

Question 20

What procedure is used to equalize initial differences between two groups before examining group differences?
A)ANOVA
B)ANCOVA
C)MANOVA
D)repeated-measures ANOVA

Accepted Answer

ANCOVA (Analysis of Covariance) is used to equalize initial differences between two groups before examining group differences. It does this by controlling for the effects of covariates (variables that could affect the outcome) that may be different between the two groups. ANOVA (Analysis of Variance) is a statistical test used to compare means between two or more groups, but it does not control for covariates. MANOVA (Multivariate Analysis of Variance) and repeated-measures ANOVA are also not focused on equalizing initial differences between two groups, but rather on analyzing differences in multiple outcomes or over multiple time points, respectively.

Quiz 18: Some Other Importantstatistical Procedures You Should Know About

Which method is used to present the results in a graphical representation of the relationships among the different factors under consideration?

It is hard to determine clearly the effect of the treatment variable on any one outcome since the outcome variables are usually related to one another.Which test is most appropriate to use in this situation?

Which of the following statistical techniques is used to examine correlations but postulates a theorized direction,or causality,in the relationship between factors?

What method was used to investigate the research question of what sets of variables discriminate between two sets of individuals?

What test is used to examine the impact of personality type on participants' interest in high-adrenaline sports,as well as interpretive dancing?

MANOVA is most appropriate to use when you have ______.

In what type of ANOVA is there one factor on which participants are tested more than once?

What is used as an umbrella term for techniques such as regression,path analysis,and factor analysis?

Which of the following techniques is used when the goal is to represent those constructs that are related to one another by a more general name?

The procedure that allows a researcher to explore how items on a particular measure cluster together is ______.

Which of the following advanced procedures uses more than one dependent variable?

Which of the following procedures is used to examine within-groups change over time?

What method was used in generating this result: Mothers' literacy activities and mothers' level of education contributed significantly to children's language skills,whereas mothers' age and shared reading did not.

What statistical procedure is used to examine the direction of a relationship between two variables such that they posit that one variable causes the other?

Researchers collected data on many variables and then looked at the relationships among them.Those measures that seemed to contain items that were related were deemed ______.

In data analysis,researchers often use a technique based on how well various items are related to one another and form clusters.What technique is this?

When researchers combine data from several studies to examine patterns and trends,what analysis is being used?

Which of the following statistical techniques uses values of more than one variable to predict the value of another variable?

The goal in ______ analysis is to represent those things that are related to one another by a more general name.

What procedure is used to equalize initial differences between two groups before examining group differences?