Bridging Advanced Quantitative Methods and Applied Research in the Behavioral, Social and Health Sciences
It is critical for researchers in the behavioral, health, and social sciences to have a full understanding of the linear regression model. Not only is this model important in its own right, but it serves as the foundation for more advanced statistical models, such as the multilevel model, factor analysis, structural equation modeling, generalized linear models, and many other techniques. For those seeking a first exposure to linear regression or simply looking for a refresher, we’ve launched a new series of CBA Office Hours videos that starts with the basics of the simple one-predictor model and proceeds to more advanced topics. So far, we’ve posted four episodes:
- Episode 1: Introduction to Linear Regression
- Episode 2: Ordinary Least Squares Explained
- Episode 3: Testing the Model
- Episode 4: Inferences about Specific Parameters
- Episode 5: Multiple Regression
We intend to add more videos as time goes on, focusing on such topics as interpretation in the multiple regression model, the difference between hierarchical versus simultaneous regression, how to incorporate categorical predictors, and how to test, probe, and plot interactions. To view all of the videos in this series in sequence, simply click the embedded video or go to our YouTube playlist on Linear Regression. You can also follow us on social media to be updated as new videos are added on this and other topics.