Essentials of SmartPLS 4: For Research and Data Analysis

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 explanationof the statistical analysis

• Focus on both theory and practice

• Become a global data analystand 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 and Independent Researcher

BBA and MBA, University of Dhaka

Ex-Lecturer, East Delta University

Data Analysis Instructor, Instructory and Udemy

Data Analyst & Freelancer, Fiverr

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Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!