In this webinar, presenter Nathan Hardy, Ph.D., will provide a gentle introduction to the Actor-Partner Interdependence Model (APIM), a method for analyzing dyadic data. You’ll learn a six-step process for executing the APIM with your dyadic data, as well as how to interpret findings as a consumer of dyadic research. Dr. Hardy will demonstrate the use of the APIM with structural equation modeling (SEM), and discuss its use in both SEM and multilevel modeling (MLM). He will demonstrate the restructuring of data in SPSS software and the running of the model in Mplus software.

Approved for 1.5  hours of CFLE education credit.

Webinar date: Oct. 15, 2019

$25 for NCFR student members / $45 for NCFR members / $85 for nonmembers

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Mid-range models bring theory "down to earth" and help guide research and practice in theoretically informed ways. This technique can incorporate both qualitative and quantitative methods of reasoning to help use research to guide our theories.

During this webinar, participants will learn from presenter Kari Adamsons, Ph.D., how to create mid-range models within the discipline of Family Science. The webinar will focus on both conceptual and methodological skills and will cover inductive, deductive, and transductive models, as well as a brief review of some statistical methods for testing theoretical models (primarily regression and structural equation models).

Approved for 1 CFLE contact hour of continuing education credit.

Webinar date: May 21, 2019

$25 for NCFR student members / $45 for NCFR members / $85 for nonmembers

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Missing data in research can lead to biased results if not properly considered.

During this webinar, presenter Isaac Washburn, Ph.D., will address the dangers that come from ignoring missing data issues. He’ll introduce the concepts of missing completely at random (MCAR), missing at random (MAR), and missing not at random (MNAR) and he’ll discuss how past methods of dealing with missing data are inadequate for dealing with the bias created by most forms of missing data.

Dr. Washburn will then focus on the two modern approaches to the problem of missing data: multiple imputation and maximum likelihood. He will walk through several examples using Mplus, Stata, and SPSS, showing how multiple imputation works and highlighting maximum likelihood techniques.

Approved for 1.5 CFLE contact hours of continuing education credit.

$25 for NCFR student members / $45 for NCFR members / $85 for nonmembers

Webinar date: May 16, 2019

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Moderation analyses in research typically are conducted using either interaction terms or multiple group analyses. In this way, scholars can examine whether the relationship between variables differs across the levels of another variable.

However, it may be that the relationships among variables differ for certain “unobserved” or “latent” subgroups within a population (i.e., groups that are not directly observed). Mixture regression — a type of finite mixture model/latent class analysis — is a highly flexible method to examine whether the relationships between independent and dependent variables differ for latent classes.

By attending this webinar — presented by W. Justin Dyer, Ph.D. — you’ll receive an accessible introduction to mixture regression and be able to understand basic concepts of moderation; how mixture regression can address moderation questions that previous standard methods cannot; and how to conduct a mixture regression.

Approved for 1 CFLE contact hour of continuing education credit.

Webinar date: April 30, 2019

Fee: $25 for NCFR student members / $45 for NCFR members / $85 for nonmembers

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Online survey tools provide plausible ways to address these limitations — if you know how to use all their features. In this webinar, Daniel Hubler, Ph.D., CFLE, will show you how to set up survey tools that help researchers collect online data over multiple time points and within groups (e.g., paired cases/dyadic data). You’ll also learn about randomization tools that provide a means for random assignment in a study.

Approved for 2 CFLE contact hours of continuing education credit.

Webinar date: Sept. 13, 2018

Fee: $30 for NCFR student members / $50 for NCFR members / $85 for nonmembers

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The Scholarship of Teaching and Learning (SoTL) is an academic approach to both teaching and research in which student learning is the primary focus. It involves a rigorous systematic inquiry into the methods and practices of teaching, resulting in findings suitable to use in a variety of venues.

In this webinar, Deborah Gentry, Ed.D., CFLE, will give an extensive overview of SoTL, and explain how to plan, design, implement, and report on a SoTL research project.

Approved for 1.5 CFLE contact hour of continuing education credit.

Webinar date: August 23, 2018

Fee: $25 for NCFR student members / $45 for NCFR members / $85 for nonmembers

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Presenters Chelsea Spencer, M.S., Bryan Cafferky, Ph.D., and Sandra Stith, Ph.D., will begin with a discussion of the importance of selecting an appropriate question to study. Each presenter will talk about how they determine the question they want to answer.

Next, they will provide guidance for choosing key words for your literature search and offer suggestions for careful documentation of articles you include or exclude. They will offer suggestions for developing a code-book to use to enter data and for selecting and training a research team to assist with searches and coding. They will then discuss which software they use to conduct their meta-analyses and how the software helps them in their work.

Finally, the presenters will suggest ways to ensure that a meta-analysis for which you work so hard to collect data can become the beginning of a trajectory for an ongoing research agenda.

Approved for 1.5 CFLE contact hour of continuing education credit.

Webinar date: October 11, 2017

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In this webinar, Alan Acock, Ph.D., shares information from a chapter on Item Response Theory (IRT) from the 5th edition of his book, A Gentle Introduction to Stata. IRT is widely used in computer adaptive testing, such as the SAT test, and offers many advantages over traditional summated scales such as Likert-type scales.

Approved for 2 CFLE contact hours of continuing education credit.

Approved for 1 CFLE contact hours of continuing education credit.

Webinar date: Oct. 16, 2015

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In this webinar series, you'll receive an introduction to Structural Equation Modeling using Stata, a statistical software program, with Alan Acock, Ph.D. No experience using Stata is assumed. You'll participate in four 1.75-hour webinars focusing on four types of statistical analyses.

Approved for 7 CFLE contact hours of continuing education credit.

Webinar date: Sept. - Oct. 2014

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In this webinar Dr. Alan Hawkins, Ph.D., and Jennifer Jay, M.MFT, LCMFT, discuss methodology for conducting a Systematic Literature Review and subsequent Meta-analysis. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) is used as a guide for conducting a Systematic Literature Review and Meta-analysis. The presentation wraps up with specific examples provided on Meta-Analyses conducted by Dr. Hawkins.

Approved for 1 CFLE contact hour of continuing education credit.

Webinar date: April 29, 2014

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