Multiple Regression, Moderation, and Mediation: 4-Part Series
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.
- Introduction to Multiple Regression (March 24) — attendees will be given a gentle introduction to multiple regression.
- Introduction to Moderated Regression (April 12) — will expand upon what was learned in the first webinar by sharing information on how to perform moderated regression and interpret the results.
- Introduction to Mediated Regression (April 27) — will cover mediation regression, how you can use regression to estimate those effects, and how to best estimate the standard error of those effects.
- Introduction to Moderated Mediated Regression (May 11) — will show how to combine the ideas of moderation and mediation into a single model (i.e., mediated moderation and moderated mediation).
Participants will receive handouts prior to each webinar to be used during the webinar. Participants will also be able to practice the skills being taught during the webinar.
Webinar content will be viewed through the lens of family-related research, and the application of theory to guide model-building will be emphasized. Thus, by attending this webinar, participants with a background in social sciences will gain comfort in interpreting results from regression models and applying the analytic technique in their own work.
Although attendees can solely attend any one of the webinars, it is highly recommended that you register for all webinars to receive the full benefits of learning how to conduct multiple regressions with mediating and moderating effects. This webinar is part of the multi-year NCFR series Quantitative Methods: Learning and Practicing Beginner to Advanced Skills. Future webinars in this series on advanced statistical methods will build on the skill learned in this webinar. Webinars from this series are great for individual use and as supplemental materials in research methods and statistics classes. Classroom licenses are available for all webinars.
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.
NCFR members receive discounts on their webinar registration. Become a member today and receive the full benefits of NCFR membership!
Please note: If you are interested in attending the second, third, or fourth webinar in the series, we highly recommend that you register for and attend the previous webinars in the series. Though the webinars in this series are also offered for registration individually, they have been designed to build on each other as the series progresses.
Webinar 1: Introduction to Multiple Regression
Thursday, March 24, 2022 | 12:30 – 2 p.m. CT | Todd Jensen, Ph.D., M.S.W.
This webinar will offer a gentle introduction to multiple regression, a commonly applied statistical technique used to study the relationship between a single dependent variable and one or more independent variables. Attendees will explore the fundamentals and common uses of multiple regression in the context of family-related research, and gain comfort in (a) interpreting results from regression models and (b) applying the analytic technique in their own work.
Specifically, attendees will explore key features of multiple regression, including core assumptions underlying linear regression, data types that are optimal for use with regression modeling, and general steps for developing a regression model. A dataset and step-by-step directions are included with the purchase of these webinars so that participants can practice the steps after the webinar has been completed to help reinforce their comprehension of the information taught.
Overall, attendees will leave this webinar with the ability to:
- Explain the fundamentals of multiple regression
- Describe the common uses of multiple regression
- Perform a multiple regression model
- Interpret the results of a multiple regression model
Approved for 1.5 hours of CFLE continuing education credit.
This is part 1 of a 4-part series on Multiple Regression, Moderation, and Mediation. Register for the whole series and save! Purchase all 4 webinars at a reduced rate.
Webinar 2: Introduction to Moderated Regression
Tuesday, April 12, 2022 | 1:30 – 3 p.m. CT | Clint Broadbent, Ph.D.
This webinar will build on the Introduction to Multiple Regressions webinar by exploring the many uses of regression and to practice what has been learned. Specifically, this webinar will give an overview of moderated regression and its practical uses; moderated regressions are used to determine whether the relationship between two variables depends on the value of a third variable. Attendees will be able to apply moderated regression in multiple scenarios as well as learn when to center variables. An introduction to regions of significance will also be shared to help attendees improve the strength of their regression reporting.
Overall, this webinar will cover moderating effects including how to center variables, how to interpret the results, and how to report region of significance. Attendees will leave this webinar with the ability to:
- Explain the fundamentals of moderated regression
- Perform moderated regression in statistical software
- Interpret the results of a moderated regression model
Approved for 1.5 hours of CFLE continuing education credit.
Webinar 3: Introduction to Mediated Regression
Wednesday, April 27, 2022 | 8:30 – 10 a.m. CT | Isaac Washburn, Ph.D.
Building upon the previous webinars in the Multiple Regression, Moderation, and Mediation series, attendees of webinar 3 will practice how to estimate the effect of a mediator between two related constructs. Specifically, participants will learn about mediating effects, how to use regressions to estimate those effects, and how to best estimate the standard error of those effects. With a nod to past techniques, this webinar will focus on current methods for both estimation of effects and the standard errors for those non-normal effects (e.g., bootstrapping). Skills learned in this webinar will also provide a foundation for more advanced techniques in studying mediation (e.g., structural equation modeling).
Overall, attendees will leave this webinar with the ability to:
- Explain the fundamentals of mediated regression
- Perform a mediated regression model
- Interpret the results of a mediated regression model
Approved for 1.5 hours of CFLE continuing education credit.
Webinar 4: Introduction to Moderated Mediated Regression
Wednesday, May 11, 2022 | 10:30 a.m. – Noon CT | Isaac Washburn, Ph.D.
This webinar is the final of four webinars in the Multiple Regression, Moderation, and Mediation four-part webinar series. Moderated mediated (or mediated moderated) regression combines the ideas of moderation and mediation into a single model. This webinar will discuss (1) the similarities and differences between moderated mediation and mediated moderation, (2) how to use regression to estimate those effects of the moderated mediation and mediated moderation models, (3) how to best estimate the standard error of those effects, and (4) how to properly interpret those effects. An example dataset will be shown during the presentation. Attendees will be able to practice their new skills after the webinar has concluded.
Overall, attendees will leave this webinar with the ability to:
- Explain the difference and effects between moderated mediation and mediated moderation
- Perform moderated mediated and mediate moderation regression in statistical software
- Interpret the results of a mediated and mediate moderation regression model
Approved for 1.5 hours of CFLE continuing education credit.
About the Presenters
Clint Broadbent, Ph.D., is an assistant professor in the Department of Family Life and Human Development at Southern Utah University. He received his doctorate from Oklahoma State University in Human Development and Family Science with a focus on advanced statistical analysis and methodology. His research interests center on improving outcomes for underserved family populations (families that have a child with a disability and Latino immigrant adolescents and their families) which can be seen in various academic journals, books, and monographs. He is currently completing a study on the ongoing psychological effects of COVID on teachers.
Todd Jensen, Ph.D., M.S.W., is a research assistant professor in the School of Social Work and a family research and engagement specialist in the Jordan Institute for Families at the University of North Carolina at Chapel Hill. Dr. Jensen studies family well-being in diverse contexts and strategies to strengthen family-serving systems. His research includes a focus on families experiencing shifts in parental structure, family violence prevention among military-connected families, and promoting the use of evidence and implementation of effective policies, programs, or practices in family-serving systems.
Isaac Washburn, Ph.D., is an associate professor/research methodologist in the Department of Human Development and Family Science at Oklahoma State University. He received his Ph.D. from Oregon State University with an emphasis in quantitative methods. In addition to regularly teaching classes in advanced statistical modeling and methods, Dr. Washburn has been working on federally funded grants for over fifteen years and serves as part of a biostatistics group for the federally funded Center for Integrative Research on Childhood Adversity. Dr. Washburn is also the co-chair of the Statistics Network at Oklahoma State University for which he has regularly taught workshops on a variety of methods ranging from SEM, to missing data, to survival analysis. Dr. Washburn will be the Chair-Elect of the Research and Theory selection of NCFR beginning November 2021 and will serve as chair from November 2023 to November 2025. He will co-chair (for the second time, first time in 2017) the day and half pre-conference workshop on Theory Construction and Research Methods at the 2022 annual conference for NCFR. His personal research looks at family and social predictors of adolescent risky behaviors and evaluating possible prevention strategies.
On-Demand Webinar Recording
Even if you can't watch this webinar live, your registration will still grant you access to watch the recording at your convenience. This webinar series is now free for NCFR members and Certified Family Life Educators (CFLEs), and $262 for nonmembers and non-CFLEs.
Classroom Use
Classroom and departmental use licenses allow faculty members to share the video in class or embed the video in their online learning management system. Departmental use licenses allow more than on faculty member to use the webinar in their class. We request that links or downloads are not shared with students.
Single Webinar Pricing
- License for classroom use by one professor is available for $141 for NCFR members, $215 for nonmembers.
- License for departmental use (multiple professors) is available for $194 NCFR member / $341 nonmember.
- Departmental license for CFLE-approved programs is $167.
Series Webinar Pricing
- License for classroom use by one professor is available for $383 for NCFR members, $593 for nonmembers.
- License for departmental use (multiple professors) is available for $530 for NCFR members, $950 for nonmembers.
- Departmental license for CFLE-approved programs is $451.
NCFR members receive discounts on their webinar registration. Become a member today and receive the full benefits of NCFR membership!
