Before starting your exercises, ensure that your SPSS is open.

For instructions on how to download and/or open the SPSS software, please see the following guide: EDD611 Inquiry I Getting Started

Astin, A.W. (2012). Assessment for excellence: The philosophy and practice of assessment and evaluation in higher education. Rowman & Littlefield Publishers. 

This multiple regression lab is based on the following research question: 

What is the relationship with student background characteristics, college experiences, and (your chosen variable)?

Example: What is the relationship with student background characteristics, college experiences, and Sense of Belonging?

Step 1:

Click on Analyze, Regression, then Linear

Step 2:

Select the dependent (outcome) variable of your choice

Example: CSS Sense of Belong Score [SENSE_BELONG]

Step 3:

Click on the top arrow button to add it to the Dependent field

Step 4:

Select the (input) variable of your choice

Example: Your sex: [SEX] 

Step 5:

Click on the (second from top) arrow to add it to the Independent(s) field in Block 1 of 1

Step 6:

Click on the Next button to move to Block 2

The block will update to show 'Block 2 of 2'

Step 7:

Select the (environment) variable(s) of your choice

Step 8:

Click on the (second from top) arrow to add it to the Block 2 of 2 field

Step 9:

Repeat Steps 7 and 8 to add the additional (environment) variables of your choice:

Example: 

• Satisfaction: Academic advising [SATIS01]
• Act: Discussed course content with students outside of class[ACT14]
• Act: Felt isolated from campus life [ACT23]
• Act: Studied with other students [ACT55]

Step 10:

When you ahev added all of your variables, click on the Statistics button

Step 11:

Ensure the following checkboxes are checked:

• Model fit

• R squared change

• Descriptives

• Collinearity diagnostics

Step 13:

Click the Continue button 

Step 14:

Click the OK button

The results will populate in your Output window

If encounter the following error, you most likely included a variable with valid, complete, and usable information.

It is recommended to select other variables and run a descriptive analysis to ensure there is usable data for that variable.

A descriptive analysis allow you to confirm that the variables you intend to use contain valid information.

Step 1:

Click Analyze, Descriptive Statistics, then Descriptives

Step 2:

Select the variable(s) you would like to check for data

Step 3:

Click on the arrow button to move the variable to the Variable(s) field

Step 4:

When you have added all the variables you would like to check, click the OK button

Step 5:

In your Output window, review the output for any field with a zero

Any field with a '0' indicates that there is no data for that variable.

Write up your multiple regression analysis, making sure to include the following elements:

• Research question, noting your final variable
• Dependent variable (Outcome)
• Block 1 variables (Inputs)
• Block 2 variables (Environment)

Example: