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January Member Training: A Gentle Introduction To Random Slopes In Multilevel Models

by TAF Support

A Gentle Introduction to Random Slopes in Multilevel Modeling

…aka, how to look at cool interaction effects for nested data.

Do the words “random slopes model” or “random coefficients model” send shivers down your spine? These words don’t have to be so ominous. Journal editors are increasingly asking researchers to analyze their data using this particular approach, and for good reason.

In this Stat’s Amore training, Marc Diener will help you make sense of the concepts and data that you find in studies that use random slopes: multi-level models (MLM). You’ll learn the ideas behind random slope models, when to use this type of model, and how to go about adding variables into your model. A running example will be used to clarify the ideas and the meaning of the multilevel model results.

Note: This training is an exclusive benefit to members of the Statistically Speaking Membership Program and part of the Stat’s Amore Trainings Series. Each Stat’s Amore Training is approximately 90 minutes long.

Not a Member? Join!

Date and Time

Tuesday, January 19th, 2021
12:00pm-1:30pm (America/New_York)
↪ In a different time zone?

About the Instructor

Marc Diener, PhD is an Associate Professor in the Clinical Psychology Doctoral Program at Long Island University—Post, and he maintains an independent clinical and research/statistics consulting practice. He has published widely, including peer-reviewed journal articles, book chapters, and other publications. He serves as a consulting editor for several journals, and his professional presentations include peer-reviewed and invited talks. He is a Fellow in the Division of Independent Practice of the American Psychological Association. In his practice, he provides psychological testing, individual psychotherapy, clinical supervision/consultation, and research/statistics consultation.

 

Not a Member Yet?

It’s never too early to set yourself up for successful analysis with support and training from expert statisticians. Just head over and sign up for Statistically Speaking. You'll get access to this training webinar and 85+ other stats trainings — plus the expert guidance you need to progress with live Q&A sessions and an ask-a-mentor forum.

Tagged With: multilevel model, nested, random slope

Related Posts

  • Member Training: A Gentle Introduction to Multilevel Models
  • Member Training: Elements of Experimental Design
  • The Difference Between Random Factors and Random Effects
  • Member Training: Latent Growth Curve Models

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This Month’s Statistically Speaking Live Training

  • January Member Training: A Gentle Introduction To Random Slopes In Multilevel Models

Upcoming Workshops

  • Logistic Regression for Binary, Ordinal, and Multinomial Outcomes (May 2021)
  • Introduction to Generalized Linear Mixed Models (May 2021)

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Data Analysis with SPSS
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by Stephen Sweet and
Karen Grace-Martin

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