Question 1

Determining the strength of the association is done by conducting the Cramer's ______ test.

Accepted Answer

Cramer's V is a measure of association between two nominal variables, providing a value between 0 and 1 to indicate the strength of the association.

Question 2

A multiple regression analysis is appropriate to use when you have more than one independent variable, which are nominal, ordinal, interval, or ratio, and ______ dependent variable(s), which is/are interval or ratio.

Accepted Answer

Multiple regression analysis is used when there is one dependent variable that is interval or ratio, and multiple independent variables.

Question 3

To find the distance of a variable value from the mean in a variable distribution, you would calculate the ______.

Accepted Answer

The standard deviation measures how far individual data points are from the mean in a distribution.

Question 4

Which of the following is an appropriate research question to be answered using a simultaneous multiple regression analysis?

Accepted Answer

Simultaneous multiple regression is used to predict the value of a dependent variable based on multiple independent variables. Option C involves predicting community violence exposure (dependent variable) based on parental monitoring and social support (independent variables).

Question 5

The purpose of a simultaneous multiple regression analysis is to determine which independent variable predicts the ______ variable.

Accepted Answer

Simultaneous multiple regression analysis is used to determine the relationship between multiple independent variables and a single dependent variable.

Question 6

At least how many assumptions of multiple regression analysis must be met to produce valid results?

Accepted Answer

The answer of At least how many assumptions of multiple...

Question 7

When data values of a variable have approximately the same scatter, you are testing for the statistical assumption of ______.

Accepted Answer

Homoscedasticity refers to the assumption that the variance of errors or the scatter of data points is consistent across all levels of an independent variable.

Question 8

If there are multiple significant outliers in multiple regression analysis, what does this indicate to a researcher?

Accepted Answer

Multiple significant outliers can indicate that the model may not be accurately capturing the relationship between the independent and dependent variables, making predictions less reliable.

Question 9

When using multiple regression analysis, what can a researcher do if the relationship between each independent variable and the dependent variable is not linear in multiple regression analysis?

Accepted Answer

If the relationship between the independent and dependent variables is not linear, a researcher can conduct a nonlinear regression analysis to better model the relationship.

Question 10

Which of the following is a type of t-test?

Accepted Answer

An independent-sample t-test is used to compare the means of two independent groups.

Question 11

If the independent variables in your study are too correlated to one another, you run the risk of violating the statistical assumption of ______.

Accepted Answer

Multicollinearity occurs when independent variables in a regression model are highly correlated, which can affect the stability and interpretation of the model's coefficients.

Question 12

Before conducting the independent-sample t-test, one must ensure that the ______ required for this analysis are met.

Accepted Answer

The independent-sample t-test requires certain assumptions to be met, such as normality, homogeneity of variance, and independence of observations.

Question 13

To effectively use nominal variables in multiple regression analysis, what do you need to do to the variables?

Accepted Answer

Nominal variables need to be converted into a numerical format for regression analysis, which is done through dummy coding. This involves creating binary variables to represent the categories of the nominal variable.

Question 14

If you reject the null hypothesis when in reality the null hypothesis is true, you are making a Type II error.

Accepted Answer

Rejecting the null hypothesis when it is true is a Type I error, not a Type II error. A Type II error occurs when you fail to reject the null hypothesis when it is false.

Question 15

An assumption for indepedent-sample t-Tests is that the variances for the dependent variable should be equal within each group of the independent variable, when the standard deviation for each group is approximately double.

Accepted Answer

The assumption for independent-sample t-tests is that the variances should be equal (homogeneity of variance), not that one standard deviation is approximately double the other.

Question 16

The mean and the median of a variable's distribution are always the same.

Accepted Answer

The mean and median are only the same in a perfectly symmetrical distribution. In skewed distributions, they differ.

Question 17

The absence of multicollinearity refers to independent variables being too highly correlated.

Accepted Answer

The absence of multicollinearity means that independent variables are not too highly correlated. Multicollinearity occurs when independent variables are highly correlated.

Question 18

An appropriate research question to be answered using a one-way ANOVA would be as follows: "Are there differences in the anxiety scores between African American, Hispanic, and Asian females?"

Accepted Answer

A one-way ANOVA is used to compare the means of three or more independent groups, which fits the research question comparing anxiety scores among three ethnic groups.

Question 19

What does a significant F value associated with a one-way ANOVA test tell a researcher?

Accepted Answer

The answer of What does a significant F value associated...

Question 20

When is a MANOVA analysis appropriate to use?

Accepted Answer

The answer of When is a MANOVA analysis appropriate to...

Quiz 13: Quantitative Data Analysis