Data Analysis with SmartPLS (One-on-one: Live Online with zoom)

Description

Kenneth Kitson (PhD)

I’m Kenneth Kitson, a private research analyst. As a private research analyst, I assist students, lecturers and businesses with their research projects in the area of research proposals, research dissertations and thesis and market research. I’m expert in the following statistical tools: IBM SPSS, AMOS, SmartPLS, Stata, etc. I have more than 5 years of experience in research and data processing and analysis, research reporting. I have facilitated research analytical training programs and assisted a lots of students, lecturers and businesses.

Course Duration: 2 Weeks

Prerequisites:

• Basic understanding of statistics and research methods
• Familiarity with concepts of regression analysis and correlation

Course Outline:

Session 1: Introduction to Structural Equation Modeling (SEM) and SmartPLS

• Understanding the need for SEM in complex data analysis
• Overview of SmartPLS and its features
• Installation and setup of SmartPLS software
• Loading and organizing data in SmartPLS

Session 2: Theoretical Foundations of SEM & Measurement Model in SmartPLS

• Review of path analysis, factor analysis, and latent variables
• Causal vs. non-causal relationships
• Formulating research questions and hypotheses for SEM
• Defining reflective and formative constructs
• Construct validity and reliability
• Indicator selection and measurement scaling
• Assessing measurement model using SmartPLS

Session 3: Model Assessment & Structural Model in SmartPLS

• Concept of latent variables and their relationships
• Understanding model fit and its importance
• Model modification and improvement
• Model specification and development
• Path specification and hypothesis testing
• Running the structural model in SmartPLS

Session 4: Advanced Topics in SmartPLS

• Moderation and mediation analysis using SmartPLS
• Second-order and higher-order constructs
• Multigroup analysis for comparing groups
• Handling missing data in SmartPLS

Session 5: Reporting and Interpreting Results

• Interpreting path coefficients and their significance
• Presenting results graphically
• Writing the results section of a research paper
• Addressing limitations and discussing implications

Bonus: Best Practices and Ethical Considerations

• Ensuring model identification and identification problem
• Assessing multicollinearity and singularity
• Dealing with endogeneity and causality challenges
• Ethical considerations in SEM research
• Troubleshooting common issues in SmartPLS

Premium Packages: SmartPLS version 4 or 3 Professional License, SmartPLS report documents, Session Videos, After Training Services, Before Training Services