Introduction to Mediated Regression

This webinar is available for free to NCFR members and to Certified Family Life Educators (CFLEs). Log in, or become an NCFR member or a CFLE, to access it.
April 27, 2022 8:30am - 10:00am
CT
4-part series: Single/Series Pricing: Free for NCFR members & CFLEs / $94/$262 for nonmembers & non-CFLEs / Become a member
Isaac J. Washburn
Presented by 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.

This is part 3 of a 4-part series on Multiple Regression, Moderation, and Mediation. View series details.

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The views expressed in this webinar may not represent the views of the entire organization.

About the Presenter

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 convenienceThis webinar is now free for NCFR members and Certified Family Life Educators (CFLEs), and $94 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 for NCFR members, $341 for nonmembers.
  • 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.

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