# BTM 8107 8 Week: 3 Activity: Explore Correlation and Regression

Activity Description

You will submit one Word document. You will create this Word document by cutting and pasting SPSS output into Word. Please answer the questions first and include all output at the end of the activity in an Appendix.

Part A. SPSS Assignment
Part A of Assignment #3 has you familiarizing yourself with a set of data, providing you the opportunity to perform statistical tests and then interpret the output. You will rely on all you have learned to this point and add correlation and regression strategies to your skill set.Using the data set: Chamorro-Premuzic.sav; you will focus on the variables related to Extroversion and Agreeableness (student and lecturer).

To complete Part A

1. Exploratory Data Analysis.

a. Perform Exploratory Data Analysis on all variables in the data set. Because you are going to focus on Extroversion andAgreeableness, be sure to include scatterplots for these combinations of variables (Student Agreeableness/Lecture Agreeableness; Student Extroversion/Lecture Extroversion; Student Agreeableness/Lecture Extroversion; Student Extroversion/Lecture Agreeableness) and include the regression line within the chart.
b. Compose a one to two paragraph write up of the data.
c. Create an APA style table that presents descriptive statistics for the sample.

2. Make a decision about the missing data. How are you going to handle it and why?

3. Correlation. Perform a correlational analysis on the following variables: Student Extroversion, Lecture Extroversion, Student Agreeableness, Lecture Agreeableness.
a. Ensure you handle missing data as you decided above.
b. State if you are using a one or two-tailed test and why.
c. Write up the results in APA style and interpret them.

4. Regression. Calculate a regression that examines whether or not you can predict if a student wants a lecturer to be extroverted using the student’s extroversion score.
5. Multiple Regression. Calculate a multiple regression that examines whether age, gender, and student’s extroversion predict if a student
wants the lecturer to be extroverted.
a. Ensure you handle missing data as you decided above.
b. State if you are using a one or two-tailed test and why.
c. Include diagnostics.
d. Discuss assumptions: are they met?
e. Write up the results in APA style and interpret them.
f. Do these results differ from the correlation results above?

Part B. Applying Analytical Strategies to an Area of Research Interest

1. Briefly restate your research area of interest.
a. Pearson Correlation: Identify two variables for which you could calculate a Pearson correlation coefficient. Describe the variables
and their scale of measurement. 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 (note the text does not use
APA style) and interpret the statistic in terms of effect size and R2 while also taking into account the third variable problem as well as direction of causality.
b. Spearman’s Correlation: Identify two variables for which you could calculate a Spearman’s correlation coefficient. Describe the variables and their scale of measurement. 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 as well as direction of causality.
c. Partial Correlation vs. Semi-Partial Correlation: Identify three variables for which you may be interested in calculating either a
partial or semi-partial correlation coefficient. Compare/contrast these two types of analyses using your variables and research example. Which would you use and why?
d. Simple Regression: Identify two variables for which you could calculate a simple regression. Describe the variables and their
scale of measurement. Which variable would you include as the predictor variable and which as the outcome variable? Why?
What would R2 tell you about the relationship between the two variables?
e. Multiple Regression: Identify at least 3 variables for which you could calculate a multiple regression. Describe the variables and their scale of measurement. Which variables would you include as the predictor variable and which as the outcome variable? Why? Which regression method would you use and why? What would R2 and adjusted R2 tell you about the relationship between
the variables?
f. Logistic Regression: Identify at least 3 variables for which you could calculate a logistic regression. Describe the variables and their scale of measurement. Which variables would you include as the predictor variable and which as the outcome variable? Why? Which regression method would you use and why? What would the output tell you about the relationship between the
variables?

Your submittal should demonstrate thoughtful consideration of the ideas and concepts that are presented in the course and provide new thoughts and insights relating directly to this topic. Where applicable your submittal should reflect scholarly writing and current APA standards.
Review APA Form and Style.

Be sure to adhere to Northcentral University's Academic Integrity Policy. View the Northcentral Academic Integrity Tutorial to refresh your
knowledge of how to achieve academic integrity.
Learning Outcomes
3.0 Calculate and interpret descriptive statistical analysis.
4.0 Create and interpret visual displays of data.
5.0 Apply appropriate statistical tests based on level of measurement.
6.0 Determine the appropriate use of inferential statistical analysis.
8.0 Analyze and apply the assumptions required for valid inferential tests.
10.0 Demonstrate proficiency in the use of SPSS.
11.0 Demonstrate proficiency in reporting statistical output in APA format.

Resources
Books
Reference Instruction
Field, A. (2013) Discovering statistics using IBM SPSS Statistics. Read Chapters 7, 8 and 9
Websites
Reference Instruction