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Data Analysis using PLS-SEM
Data Analysis using PLS-SEM
Course Overview:
This course provides an in-depth understanding of how to conduct data analysis using PLS-SEM (Partial Least Squares Structural Equation Modeling). PLS-SEM is a powerful tool for analyzing complex relationships in data, especially when dealing with constructs that are difficult to measure directly. Participants will learn the essential concepts, techniques, and best practices for applying PLS-SEM to their research.
Target Audience:
Graduate students and researchers in social sciences, business, economics, and management.
Academics and professionals seeking to enhance their quantitative research skills.
Those who wish to apply PLS-SEM in analyzing complex relationships within their datasets.
Course Duration:
4 weeks (8 hours per week)
Total: 32 hours (4 modules, 8 sessions)
Course Module:
Module 1: Introduction to PLS-SEM
Module 1: Introduction to PLS-SEM
Session 1: Introduction to Structural Equation Modeling (SEM)
Session 2: Basic Concepts of PLS-SEM
Module 2: Preparing Data for PLS-SEM
Module 2: Preparing Data for PLS-SEM
Session 3: Data Preparation
Session 4: Software for PLS-SEM
Module 3: Model Specification and Estimation
Module 3: Model Specification and Estimation
Session 5: Model Building and Path Diagram
Session 6: Estimation and Evaluation
Module 4: Model Evaluation and Interpretation
Module 4: Model Evaluation and Interpretation
Session 7: Model Evaluation Criteria
Session 8: Advanced Topics in PLS-SEM
Course Features:
Course Features:
Practical examples: Real-world case studies to illustrate the application of PLS-SEM.
Hands-on training: Step-by-step guidance on using SmartPLS and other PLS-SEM software.
Assignments and quizzes: Regular assessments to reinforce learning and practice concepts.
Learning Outcomes:
Learning Outcomes:
By the end of this course, participants will be able to:
Understand the principles and methodology behind PLS-SEM.
Prepare data appropriately for PLS-SEM analysis.
Build, run, and evaluate a PLS-SEM model.
Interpret PLS-SEM output and make meaningful inferences from data.
Conduct advanced analysis, including mediation, moderation, and multi-group analysis.
Certification:
Certification:
Participants who complete the course and assignments will receive a Certificate of Completion in Data Analysis using PLS-SEM.
Note: For any queries regarding course fees, please communicate via absiddik.nub@yahoo.com
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