Multiple regression—often referred to as ordinary least squares (OLS) regression—is a widely applied statistical technique used to study the relationship between a single dependent variable and one or more independent variables. Attractive features of multiple regression include its applicability to answer research questions related to (a) prediction or (b) causal analysis.

In the context of prediction studies, multiple regression allows for the inclusion of many independent variables to generate optimal predictions of a dependent variable. In terms of causal analysis studies, multiple regression enables the separation of effects on the dependent variable across numerous independent variables, thus enabling an assessment of the unique association between each independent variable and the dependent variable. For these, and other reasons, multiple regression has much appeal among scholars who study families.

This is a four-part webinar series that will build in progression.

Each webinar is approved for 1.5 hours of CFLE continuing education credit. Taking all four webinars would result in 6 hours of CFLE continuing education credit.

Webinar date: March 24, April 12, April 27, and May 11, 2022

Series Pricing: $70 for NCFR student members / $125 for NCFR members & CFLEs / $240 for nonmembers & non-CFLEs