Statistics & Data Analysis: Linear Regression Models in SPSS
- 1.5 hours on-demand video
- 3 articles
- 2 downloadable resources
- Full lifetime access
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- Certificate of Completion
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- 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
In this quick introductory video, I'll give you a quick preview of what's to come in the rest of this course.
We introduce the concept of the correlation coefficient as a simple way of considering the relationships between two variables.
I thought this would be a good place to stop for a moment and discuss the idea that regression analysis is all about creating a statistical model for your data. With that comes the need to assess the quality of your model, and we'll go through a few key indices of model fit.
Until this point, we've only considered the role of continuous variables in our regression analyses. You may want to include categorical variables in your model, though. In this lesson, I'll show you how to analyze an interaction between a continuous and a categorical variable using PROCESS in SPSS.
- 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 Several aspects of the "interaction analysis" section of this course may currently be out of date with the most recent version of this add-on to SPSS.**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