Statistics & Data Analysis: Linear Regression Models in SPSS
Beginner and Intermediate Data Analytic Methods for Testing Main Effects & Interactions with SPSS and the PROCESS Macro
- Analyze data using linear regression analysis
- Use SPSS and PROCESS to test interactions between variables
- Graph the results of data analyses to visually communicate the results
- Take a sample of data and create a simple equation to predict outcomes for people who you don't have data from
- Understand what regression is and how to interpret the output of statistical analyses
- You will need SPSS installed on your computer
- You will need the PROCESS add-on, but we will walk through how to download and install this (free) add-on in this course
- You will need Microsoft Excel to use the graphing template, although this is not essential
- A rudimentary understanding of statistics (e.g., means, standard deviation, p-values) is recommended
**Please note that this course was designed with the PROCESS macro version 2.13. Several aspects of the "interaction analysis" section of this course may currently be out of date with the most recent version of this add-on to SPSS.**
Linear regression is one of the essential tools in statistical analysis. In this course, we'll walk through step-by-step how to conduct many important analyses using SPSS.
Although you will learn the basics of what these statistics are, we'll avoid complicated mathematical discussions and go right to what you need to know to conduct these analyses.
Linear regression is basically a tool that allows you to test relationships between many variables at the same time, control for variables' effects, and create simple statistical models that allow you to make predictions.
In this course, we'll cover the following key topics:
Correlations: You probably already know this, but understanding how to test the correlation between two variables gets us started in this course.
Simple Linear Regression: Taking correlations one step further by creating a statistical model.
Multiple Linear Regression: Being able to test multiple predictors at the same time and testing the unique effect of each.
Hierarchical Linear Regression: How to test for the influence of different variables by adding them to the model one at a time.
Interaction Analysis: How to test whether there's a two-way interaction between variables (also known as a "moderator" analysis)
You'll not only learn how to conduct these analyses, we'll also go over how to interpret the statistical results and how to graph the results using SPSS and a special Excel template I've created for you.
As a bonus, we also learn how to use a new free add-on to SPSS called "PROCESS," which simplifies a lot of the steps in doing interaction analysis in regression.
This course is meant to get you started in analyzing data using linear regression in SPSS. Whether you have data of your own that need to understand or you just want to know more about statistical data analysis, you'll get a running head start with this simple, easy-to-follow course.
I do linear regression analysis all the time in SPSS to conduct research in psychology, so I've become familiar with the steps it takes to pull off these analyses. I'm confident you will be able to, too!
- Linear regression is a fundamental data analytic strategy, so if you have any data that you want to understand, this will be key
- If you have access to survey data (e.g., customer satisfaction, opinion polls, educational tests), you will learn how to think about those data with linear models
- Students taking a statistics course will benefit from a supplemental course like this one
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