How to estimate detailed direct, indirect, and total effects for complex, intertwined mediating and moderating effects.
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Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Apply the PROCESS technique to separately estimate complex, combined direct, indirect and total mediating and moderating effects in OLS models and in PLS path models using their own data and models.
Have a wider range of precise analytical tools to more finitely estimate individual direct, indirect and total mediating and moderating effects, as well as the significant differences among them.
Install and use our R-based allstatGUI and MEDMOD (PROCESS) software applications on their own data and models.
This comprehensive Mediation, Moderation, and Conditional Process Analysis curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Mediation, Moderation, and Conditional Process Analysis course:
This course is perfect for:
Everything you need to know about this online course, from duration to certification
Course Instructor
Geoffrey Hubona, Ph.D.
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
Budget-Friendly Course
Typically around $24.99
Pricing may vary. Check the course provider for current promotions and exact pricing.
Affiliate disclosure: if you enroll through links on this page, the course provider may pay us a commission. This comes at no extra cost to you and does not influence how we describe courses.
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