Essentials of SmartPLS 4: For Research and Data Analysis | Udemy [Update 03/2025]
English | Size: 1.77 GB
Genre: eLearning[/center]

Learn Partial Least Square Structural Equation Modeling (PLS SEM) and Path Analysis using Smart PLS 4 from Scratch

What you'll learn
To introduce the basic concepts related to Multivariate Analysis and SEM.
To illustrate the basic applications of SEM in Research using SmartPLS 4.
To illustrate the procedure for preparing and creating data file using SPSS.
To provide hands on training of applying SEM using valid data set and reporting results.

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.

Who this course is for:
Research Scholars
Faculty Members
University Students
PhD Researchers
Freelancing

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