Bivariate Analysis and Multiple Regression

Updated: Jan 22

These videos are meant to provide brief introductions to correlational analysis and regression analysis, as well as the importance of the pre-work that should be done before getting into the analyses. It is important to get a good understanding of your data--the sample and the population from which the data were collected. Also, for every analysis that is conducted you need to check the underlying assumptions and make decision about how the data will be handled. The key is being intentional about all of the decisions that are made (preliminary screening and the actual analyses) and to the extent possible planning for how different issues that may arise with the data will be handled.




Correlation Prep





Correlation Analysis





Bivariate Regression Prep





Bivariate Regression Analysis







Bivariate Relationships and OLS Regression











Rochelle S. Michel has held a number of roles in the context of educational testing, assessment, educational research, and non-profit program management, including working as the Executive Director of Admission Programs at Educational Records Bureau, Director of Research within the Academic to Career Research Center at Educational Testing Service (ETS), Research Director at Curriculum Associates, and Psychometric Manager at ETS. She served as the president of the Northeastern Educational Research Association in 2018-2019. She also has extensive teaching experience in Mathematics and Statistics, at the junior high school, high school, and college levels. Dr. Michel received her PhD in Psychometrics from Fordham University and currently is a Lecturer in the Masters of Science and Social Policy program at the University of Pennsylvania. Dr. Michel is an Institute Fellow of the Institute in Critical Quantitative, Computational, and Mixed Methodologies (ICQCM).