Question 1

When variables share a curvilinear relationship, this relationship is also known as:

Accepted Answer

A)  Up and down 
B)  Positive 
C)  No relationship 
D)  Non-linear 
A)  Up and down 
B)  Positive 
C)  No relationship 
D)  Non-linear D

Question 2

Use the Spearman's rho when:

Accepted Answer

A)  The distribution is symmetrical. 
B)  The data are at the ordinal level. 
C)  The data are curvilinear. 
D)  The data are at the scale level. 
A)  The distribution is symmetrical. 
B)  The data are at the ordinal level. 
C)  The data are curvilinear. 
D)  The data are at the scale level. B

Question 3

Use Spearman's rho for data at the scale level.

Accepted Answer

A) True 
 B)False  False

Question 4

Use Pearson's r for data at the scale level.

Accepted Answer

A) True 
 B)False

Question 5

Use the following SPSS Statistics tool to calculate the correlation coefficient:

Accepted Answer

A)  Chart Builder… 
B)  Descriptive Statistics… 
C)  Bivariate… 
D)  None of the above. 
A)  Chart Builder… 
B)  Descriptive Statistics… 
C)  Bivariate… 
D)  None of the above.

Question 6

Spearman's rho is formally known as Spearman's rank-order correlation coefficient.

Accepted Answer

A) True 
 B)False

Question 7

Use the Pearson's r when:

Accepted Answer

A)  The distribution is asymmetrical. 
B)  The data are at the ordinal level. 
C)  The data are not curvilinear. 
D)  The data are curvilinear. 
A)  The distribution is asymmetrical. 
B)  The data are at the ordinal level. 
C)  The data are not curvilinear. 
D)  The data are curvilinear.

Question 8

A correlation coefficient is also known as a:

Accepted Answer

A)  Spearman's rho. 
B)  Pearson's r. 
C)  Both A and B. 
D)  None of the above. 
A)  Spearman's rho. 
B)  Pearson's r. 
C)  Both A and B. 
D)  None of the above.

Question 9

Pearson's r is formally known as Pearson product-moment correlation coefficient.

Accepted Answer

A) True 
 B)False

Question 10

Use Pearson's r for data at the ordinal level.

Accepted Answer

A) True 
 B)False

When variables share a curvilinear relationship, this relationship is also known as:

Use the Spearman's rho when:

Use Spearman's rho for data at the scale level.

Use Pearson's r for data at the scale level.

Use the following SPSS Statistics tool to calculate the correlation coefficient:

Spearman's rho is formally known as Spearman's rank-order correlation coefficient.

Use the Pearson's r when:

A correlation coefficient is also known as a:

Pearson's r is formally known as Pearson product-moment correlation coefficient.

Use Pearson's r for data at the ordinal level.

Levels of Measurement in SPSS

Entering and Saving a Set of Scores Scale Variable

Frequency Distribution

Histogram

Frequency Polygon

Mean, Median, and Mode: One Group, Two Scale Variables

Mean and Standard Deviation: Two or More Groups, One Scale Variable

Z-Scores Standard Scores

Scattergram

Simple Linear Regression

The T-Test for a Single Sample Mean

Paired-Samples T-Test

Independent-Samples T-Test

One-Way ANOVA

Chi-Square Goodness-Of-Fit Test

Chi-Square Test of Independence

Filters

Exam 10: Correlation Coefficients: The Pearson R and Spearmans RHO

When variables share a curvilinear relationship, this relationship is also known as:

Use the Spearman's rho when:

Use Spearman's rho for data at the scale level.

Use Pearson's r for data at the scale level.

Use the following SPSS Statistics tool to calculate the correlation coefficient:

Spearman's rho is formally known as Spearman's rank-order correlation coefficient.

Use the Pearson's r when:

A correlation coefficient is also known as a:

Pearson's r is formally known as Pearson product-moment correlation coefficient.

Use Pearson's r for data at the ordinal level.

Levels of Measurement in SPSS

Entering and Saving a Set of Scores Scale Variable

Frequency Distribution

Histogram

Frequency Polygon

Mean, Median, and Mode: One Group, Two Scale Variables

Mean and Standard Deviation: Two or More Groups, One Scale Variable

Z-Scores Standard Scores

Scattergram

Simple Linear Regression

The T-Test for a Single Sample Mean

Paired-Samples T-Test

Independent-Samples T-Test

One-Way ANOVA

Chi-Square Goodness-Of-Fit Test

Chi-Square Test of Independence

Filters