Submit one APA-formatted Word document for this assignment.
1. Briefly restate your research area of interest (see attachment for area of interest). You will use
this topic as the basis to select variables for the remaining questions in this assignment.
2. Pearson Correlation
a. Identify two variables for which you could calculate a Pearson correlation coefficient.
Describe the variables and their scale of measurement.
b. Now, assume you conducted a Pearson correlation and came up with a significant positive or
negative value.
Create a mock r value (for example, .3 or -.2). Report your mock finding in APA style, and
interpret the statistic in terms of effect size and R2 while also taking into account the third
variable problem and well as direction of causality.
3. Spearmans Correlation
a. Identify two variables for which you could calculate a Spearmans correlation coefficient.
Describe the variables and their scale of measurement.
b. Now, assume you conducted a correlation and came up with a significant positive or negative
value. Create a mock r value (for example, .3 or -.2). Report your mock finding in APA style and
interpret the statistic in terms of effect size and R2 while also taking into account the third
variable problem and well as direction of causality.
4. Partial Correlation vs. Semi-Partial Correlation
a. Identify three variables for which you may be interested in calculating either a partial or semipartial correlation coefficient.
b. Compare/contrast these two types of analyses using your variables and research example.
Which would you use and why?
5. Simple Regression
a. Identify two variables for which you could calculate a simple regression. Describe the
variables and their scale of measurement.
b. Which variable would you include as the predictor variable and which as the outcome
variable? Why?
c. What would R2 tell you about the relationship between the two variables?
6. Multiple Regression
a. Identify at least three variables for which you could calculate a multiple regression. Describe
the variables and their scale of measurement.
b. Which variables would you include as the predictor variables and which as the outcome
variable? Why?

c. Which regression method would you use and why?
d. What would R2 and adjusted R2 tell you about the relationship between the variables?
7. Logistic Regression
a. Identify at least three variables for which you could calculate a logistic regression. Describe
the variables and their scale of measurement.
b. Which variables would you include as the predictor variables and which as the outcome
variable? Why?
c. Which regression method would you use, and why?
d. What would the output tell you about the relationship between the variables?

Submit one APA-formatted Word document for this assignment.
1. Briefly restate your research area of interest (see attachment for area of interest). You will use
this topic as the basis to select variables for the remaining questions in this assignment.
2. Pearson Correlation
a. Identify two variables for which you could calculate a Pearson correlation coefficient.
Describe the variables and their scale of measurement.
b. Now, assume you conducted a Pearson correlation and came up with a significant positive or
negative value.
Create a mock r value (for example, .3 or -.2). Report your mock finding in APA style, and
interpret the statistic in terms of effect size and R2 while also taking into account the third
variable problem and well as direction of causality.
3. Spearmans Correlation
a. Identify two variables for which you could calculate a Spearmans correlation coefficient.
Describe the variables and their scale of measurement.
b. Now, assume you conducted a correlation and came up with a significant positive or negative
value. Create a mock r value (for example, .3 or -.2). Report your mock finding in APA style and
interpret the statistic in terms of effect size and R2 while also taking into account the third
variable problem and well as direction of causality.
4. Partial Correlation vs. Semi-Partial Correlation
a. Identify three variables for which you may be interested in calculating either a partial or semipartial correlation coefficient.
b. Compare/contrast these two types of analyses using your variables and research example.
Which would you use and why?
5. Simple Regression
a. Identify two variables for which you could calculate a simple regression. Describe the
variables and their scale of measurement.
b. Which variable would you include as the predictor variable and which as the outcome
variable? Why?
c. What would R2 tell you about the relationship between the two variables?
6. Multiple Regression
a. Identify at least three variables for which you could calculate a multiple regression. Describe
the variables and their scale of measurement.
b. Which variables would you include as the predictor variables and which as the outcome
variable? Why?

c. Which regression method would you use and why?
d. What would R2 and adjusted R2 tell you about the relationship between the variables?
7. Logistic Regression
a. Identify at least three variables for which you could calculate a logistic regression. Describe
the variables and their scale of measurement.
b. Which variables would you include as the predictor variables and which as the outcome
variable? Why?
c. Which regression method would you use, and why?
d. What would the output tell you about the relationship between the variables?