Introduction to Smart PLS

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INTERNATIONAL CANADIAN CENTER FOR DEVELOPMENT

Make Learning and Teaching more Effective with active participation and student collaboration

  • Course Title: Introduction to Smart PLS

  • Course Price: The course price is in Canadian dollars: 999 CA

  • Instructor Time and Date: Mondays 8:30-11:30AM PT (Pacific Time)

  • About the course:

The "Introduction to Smart PLS Interface" course provides a comprehensive overview of the Smart Partial Least Squares (PLS) interface, a powerful tool for structural equation modeling (SEM) and path analysis. This course is designed to equip participants with essential skills to navigate and utilize the Smart PLS interface effectively. Participants will gain insights into the various features and functionalities of Smart PLS, including data input, model specification, and result interpretation. The course covers fundamental concepts such as latent variable modeling, measurement models, and structural models, enabling users to understand the theoretical foundations behind Smart PLS. Hands-on practical sessions guide participants through the step-by-step process of creating and analyzing models, allowing them to apply their knowledge in a real-world context. Additionally, the course emphasizes best practices for model validation and result reporting. Whether participants are new to Smart PLS or seeking a refresher, this course serves as a valuable resource for researchers, analysts, and professionals looking to enhance their skills in structural equation modeling using the Smart PLS interface.

Who this course is for:

  • Students

  • Researchers

  • Instructors

  • Curriculum or the outline of the course:

The curriculum typically covers a range of key components, including adult learning theories, instructional design principles, effective communication strategies, and interactive training methodologies.

Course requirements:

  • Computer

What will you learn in this course:

Introduction to Smart PLS: Overview of the interface and its applications. Data Input: Techniques for importing and organizing data within the interface.

Maxima Students per course 3

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