Essentials of SmartPLS 4: For Research and Data Analysis
Learn Partial Least Square Structural Equation Modeling (PLS SEM) and Path Analysis using Smart PLS 4 from Scratch
Essentials of SmartPLS 4: For Research and Data Analysis udemy course free download
Learn Partial Least Square Structural Equation Modeling (PLS SEM) and Path Analysis using Smart PLS 4 from Scratch
PLS-SEM is a composite-based approach to SEM that aims at maximizing the explained variance of dependent constructs in the path model. Researchers and practitioners use PLS-SEM, especially when they conduct studies on success factors and the sources of competitive advantage.
Compared to other SEM techniques, PLS-SEM allows researchers to estimate very complex models with many constructs and indicator variables. Furthermore, PLS-SEM allows for estimating reflective and formative constructs and generally offers much flexibility in terms of data requirements. The goal of PLS-SEM is the explanation of variances (prediction-oriented character of the methodology) rather than explaining covariances (theory testing via covariance-based SEM, CB-SEM). The application of the PLS-SEM method is of high interest if the assumptions of CB-SEM are violated and the proposed cause-and-effect relationships are not sufficiently explored.
The course will include the following aspects:
Why is data analysis required?
Basic concepts related to SEM
Data analysis using SPSS and SmartPLS
Measurement model analysis
Structural model analysis
Mediator/Moderator analysis
Advanced issues in SmartPLS
Explanation in APA style
Real exercise from Fiverr projects
Getting started with Fiverr gigs
Tips and tricks and many more
The course features include but are not limited to:
Competitive edge for pursuing PhD and Master's
Required tool for scholarly publication
High acceptance rate by top business journals
Easy explanation of the statistical analysis
Focus on both theory and practice
Become a global data analyst and freelancer
Excellent carrier opportunity
Huge demand in local and global markets
Software package: SmartPLS 4, SPSS 25.0
Who should attend?
Research scholars, faculty members, university students, and individuals who are engaged in or interested in contemporary statistical techniques
Prerequisite: Basic knowledge of multivariate techniques such as factor analysis and multiple regression.
Thanks and Regards
Shahedul Hasan
Research Assistant & Independent Researcher.
BBA & MBA, University of Dhaka.
Ex-Lecturer, East Delta University.
Data Analysis Instructor, Instructory and Udemy.
Top Rated Freelancer, Upwork.
Editorial Review Board Member, Virtual Economics & Transnational Marketing Journal.
Editor, Global Journal of Entrepreneurship, Innovation and Leadership.
Editorial Assistant, Journal for the Study of Cooperative and Experiential Education.
