Question 1

Which of the following is NOT another way to refer to the Pearson Correlation Coefficient?

Accepted Answer

A) Pearson product-moment correlation coefficient 
B) Pearson rank correlation coefficient 
C) Pearson r 
D) R or r 
A) Pearson product-moment correlation coefficient 
B) Pearson rank correlation coefficient 
C) Pearson r 
D) R or r B

Question 2

If the correlations are identified as significant (with asterisks), that means:

Accepted Answer

A) You have a strong and reliable relationship between the two variables. 
B) You have a strong and reliable relationship between the three variables. 
C) You have a statistically significant, but not necessarily strong, correlation between the two variables. 
D) You have a reliable, but not necessarily strong, correlation between the three variables. 
E) You have a strong, but not necessarily reliable, correlation between the three variables. 
A) You have a strong and reliable relationship between the two variables. 
B) You have a strong and reliable relationship between the three variables. 
C) You have a statistically significant, but not necessarily strong, correlation between the two variables. 
D) You have a reliable, but not necessarily strong, correlation between the three variables. 
E) You have a strong, but not necessarily reliable, correlation between the three variables. C

Question 3

The type of variable NOT allowed when calculating a Spearman correlation coefficient is:

Accepted Answer

A) Nominal 
B) Ordinal 
C) Ratio 
D) Interval 
E) Rank 
A) Nominal 
B) Ordinal 
C) Ratio 
D) Interval 
E) Rank A

Question 4

When you have a significance level < .001, SPSS reports:

Accepted Answer

A) 0.000 
B) < .001 
C) .001 
D) .0001 
E) The exact level of significance. 
A) 0.000 
B) < .001 
C) .001 
D) .0001 
E) The exact level of significance.

Question 5

True/: All researchers prefer positive correlations over negative correlations.

Accepted Answer

A) True 
 B)False

Question 6

Which of the following is NOT an assumption for calculating a Pearson r?

Accepted Answer

A) Both variables should be measured on interval or ratio scales. 
B) Only one variable should be normally distributed. 
C) Both variables should be normally distributed. 
D) The relationship between the variables should be linear. 
A) Both variables should be measured on interval or ratio scales. 
B) Only one variable should be normally distributed. 
C) Both variables should be normally distributed. 
D) The relationship between the variables should be linear.

Question 7

If your data don't meet the assumptions for a Pearson r correlation coefficient, an appropriate action you can take is:

Accepted Answer

A) Run the analysis anyway. 
B) Calculate z-scores for both variables. 
C) Change your data to meet the assumptions. 
D) Make a scatterplot but don't calculate the correlation coefficient. 
E) Consider a Spearman's rho correlation coefficient instead. 
A) Run the analysis anyway. 
B) Calculate z-scores for both variables. 
C) Change your data to meet the assumptions. 
D) Make a scatterplot but don't calculate the correlation coefficient. 
E) Consider a Spearman's rho correlation coefficient instead.

Question 8

Which of the following is/are TRUE? (select all that apply)

Accepted Answer

A) There are no degrees of freedom for correlation because SPSS does not report it. 
B) There are degrees of freedom for a correlation only if SPSS reports it. 
C) Degrees of freedom are calculated using the population size. 
D) Degrees of freedom are calculated using the sample size. 
E) Degrees of freedom are always reported in a summary. 
A) There are no degrees of freedom for correlation because SPSS does not report it. 
B) There are degrees of freedom for a correlation only if SPSS reports it. 
C) Degrees of freedom are calculated using the population size. 
D) Degrees of freedom are calculated using the sample size. 
E) Degrees of freedom are always reported in a summary.

Question 9

In simple linear regression,

Accepted Answer

A) The correlation coefficient changes if you switch the independent and dependent variables. 
B) It doesn't matter which variable is dependent and which is independent. 
C) Only the independent variable can be dichotomous. 
D) Only the dependent variable can be dichotomous. 
E) Both variables can be dichotomous. 
A) The correlation coefficient changes if you switch the independent and dependent variables. 
B) It doesn't matter which variable is dependent and which is independent. 
C) Only the independent variable can be dichotomous. 
D) Only the dependent variable can be dichotomous. 
E) Both variables can be dichotomous.

Question 10

Bivariate correlations refer to:

Accepted Answer

A) Only Pearson's r. 
B) Any type of correlation. 
C) Correlations calculated with one variable. 
D) Correlations calculated between two variables. 
E) Correlations calculated with at least three variables. 
A) Only Pearson's r. 
B) Any type of correlation. 
C) Correlations calculated with one variable. 
D) Correlations calculated between two variables. 
E) Correlations calculated with at least three variables.

Question 11

For Pearson correlation coefficients, you should report all of the following EXCEPT:

Accepted Answer

A) Direction of the association (positive or negative) 
B) Strength of the association (strong, weak, etc.) 
C) The actual value of r 
D) Degrees of freedom 
E) Level of significance
F)You actually need all of the above. 
A) Direction of the association (positive or negative) 
B) Strength of the association (strong, weak, etc.) 
C) The actual value of r 
D) Degrees of freedom 
E) Level of significance
F)You actually need all of the above.

Question 12

The correlation of a variable with itself will always be:

Accepted Answer

A) 0.5 
B) -0.5 
C) 1 
D) -1 
E) It will be different depending on the variable. 
A) 0.5 
B) -0.5 
C) 1 
D) -1 
E) It will be different depending on the variable.

Question 13

What is a correlation matrix?

Accepted Answer

A) It is a table of the correlations between a list of variables. 
B) It is a table of the normal distributions of the different variables in the output. 
C) It is the name of a table in Excel in case you need to switch software. 
D) It is an additional test to run after you find the correlation. 
E) It is a test to run if you don't meet the assumptions for a Pearson r. 
A) It is a table of the correlations between a list of variables. 
B) It is a table of the normal distributions of the different variables in the output. 
C) It is the name of a table in Excel in case you need to switch software. 
D) It is an additional test to run after you find the correlation. 
E) It is a test to run if you don't meet the assumptions for a Pearson r.

Question 14

Which of the following is NOT true?

Accepted Answer

A) Correlation coefficients range from -1 to +1. 
B) Correlation coefficients less than -0.7 are considered weak. 
C) Correlation coefficients between -0.3 and +0.3 are considered weak. 
D) Correlation coefficients greater than +0.7 are considered strong. 
E) Correlation coefficients with an absolute value of +0.7 are considered strong. 
A) Correlation coefficients range from -1 to +1. 
B) Correlation coefficients less than -0.7 are considered weak. 
C) Correlation coefficients between -0.3 and +0.3 are considered weak. 
D) Correlation coefficients greater than +0.7 are considered strong. 
E) Correlation coefficients with an absolute value of +0.7 are considered strong.

Question 15

A correlation coefficient of -0.8 would be considered what kind of correlation?

Accepted Answer

A) No correlation 
B) A weak correlation 
C) A moderate correlation 
D) A somewhat strong correlation 
E) A strong correlation 
A) No correlation 
B) A weak correlation 
C) A moderate correlation 
D) A somewhat strong correlation 
E) A strong correlation

Question 16

Degrees of freedom for the Spearman Correlation Coefficient is:

Accepted Answer

A) N 
B) N-1 
C) N-2 
D) N+1 
E) N+2 
A) N 
B) N-1 
C) N-2 
D) N+1 
E) N+2

Which of the following is NOT another way to refer to the Pearson Correlation Coefficient?

If the correlations are identified as significant (with asterisks), that means:

The type of variable NOT allowed when calculating a Spearman correlation coefficient is:

When you have a significance level < .001, SPSS reports:

True/: All researchers prefer positive correlations over negative correlations.

Which of the following is NOT an assumption for calculating a Pearson r?

If your data don't meet the assumptions for a Pearson r correlation coefficient, an appropriate action you can take is:

Which of the following is/are TRUE? (select all that apply)

In simple linear regression,

Bivariate correlations refer to:

For Pearson correlation coefficients, you should report all of the following EXCEPT:

The correlation of a variable with itself will always be:

What is a correlation matrix?

Which of the following is NOT true?

A correlation coefficient of -0.8 would be considered what kind of correlation?

Degrees of freedom for the Spearman Correlation Coefficient is:

Getting Started

Entering and Modifying Data

Descriptive Statistics

Graphing Data

Parametric Inferential Statistics

Anova Models

Nonparametric Inferential Statistics

Test Construction

Filters

Exam 5: Prediction and Association

Which of the following is NOT another way to refer to the Pearson Correlation Coefficient?

If the correlations are identified as significant (with asterisks), that means:

The type of variable NOT allowed when calculating a Spearman correlation coefficient is:

When you have a significance level < .001, SPSS reports:

True/: All researchers prefer positive correlations over negative correlations.

Which of the following is NOT an assumption for calculating a Pearson r?

If your data don't meet the assumptions for a Pearson r correlation coefficient, an appropriate action you can take is:

Which of the following is/are TRUE? (select all that apply)

In simple linear regression,

Bivariate correlations refer to:

For Pearson correlation coefficients, you should report all of the following EXCEPT:

The correlation of a variable with itself will always be:

What is a correlation matrix?

Which of the following is NOT true?

A correlation coefficient of -0.8 would be considered what kind of correlation?

Degrees of freedom for the Spearman Correlation Coefficient is:

Getting Started

Entering and Modifying Data

Descriptive Statistics

Graphing Data

Parametric Inferential Statistics

Anova Models

Nonparametric Inferential Statistics

Test Construction

Filters