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

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 date: ** Wednesday, April 27, 2022

**Single Pricing:** $29 for NCFR student members / $49 for NCFR members & CFLEs / $89 for nonmembers & non-CFLEs

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.*

**Webinar date: ** Wednesday, May 11, 2022

**Single Pricing:** $29 for NCFR student members / $49 for NCFR members & CFLEs / $89 for nonmembers & non-CFLEs

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.*

**Webinar date: **March 24, 2022

**Single Pricing:** $29 for NCFR student members / $49 for NCFR members & CFLEs / $89 for nonmembers & non-CFLEs

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.

*Approved for 1.5 hours of CFLE continuing education credit.*

**Webinar date: **April 12, 2022

**Single Pricing:** $29 for NCFR student members / $49 for NCFR members & CFLEs / $89 for nonmembers & non-CFLEs

This webinar will cover when and how to use t-tests to answer research questions, how to interpret results, and how to run the t-test in a statistical software (primarily in SPSS, but additional resources will be provided for STATA and MPLUS). This webinar is a great way to build confidence in doing t-tests as well as refresh and enhance existing skills.

Overall, attendees will leave this webinar with the ability to:

- Assess the benefits and limitations of running t-tests with your data
- Run a t-test on real examples in Family Science during and after the webinar
- Interpret the results of a t-test to answer a variety of research questions

*Approved for 1.5 hours of CFLE continuing education credit.*

**Webinar date: **Aug. 19, 2021

**Fee:** $25 for NCFR student members / $45 for NCFR members & CFLEs / $85 for nonmembers & non-CFLEs

This webinar serves as an introduction or a refresher to probability and correlations. Specifically, attendees will gain a stronger understanding of the benefits and limitations of these techniques when used to answer research questions. This webinar will cover when and how to use probabilities and correlations to answer research questions, how to interpret results, and how to run correlations properly in a statistical software (e.g., STATA, SPSS, and MPLUS). This webinar is a great way to build confidence in understanding probabilities and correlations and enhance existing skills.

*Approved for 1.5 CFLE contact hours of continuing education credit.*

**Webinar date: **August 26, 2021 11:00am - 12:30pm CT

**Fee:** $25 for NCFR student members / $45 for NCFR members & CFLEs / $85 for nonmembers & non-CFLEs

This webinar will provide attendees with a stronger understanding of the benefits and limitations of using odds ratio to answer research questions, as well as provide a variety of examples of when to use a odds ratio. Specifically, participants will learn how and when to use an odds ratio, when to use an adjusted odds ratio, how to interpret odds ratio, and how to calculate odds ratio by hand, as well as in a statistical software (primarily in SPSS, but additional resources will be provided for STATA and MPLUS). This webinar is a great way to build confidence in running odds ratio as well as refresh and enhance existing skills.

Overall, attendees will leave this webinar with the ability to:

- Assess the benefits and limitations of calculating odds ratios
- Determine when to use odds ratios with Family Science research questions
- Run odds ratios during and after the webinar
- Interpret the results of a odds ratio to answer a variety of research questions

*Approved for 1.5 hours of CFLE continuing education credit.*

**Webinar date: **Sept. 23, 2021

**Fee:** $25 for NCFR student members / $45 for NCFR members & CFLEs / $85 for nonmembers & non-CFLEs

ANOVA is one of the fundamental tools for quantitative analysis due to its ability to test for statistical differences between the means of three or more independent groups. This webinar will introduce you to ANOVA and then expand into ANCOVA, MANOVA, and repeated measures.

*Approved for 1.5 hours of CFLE continuing education credit.*

**Webinar date: **Oct. 14, 2021

**Fee:** $25 for NCFR student members / $45 for NCFR members & CFLEs / $85 for nonmembers & non-CFLEs