Description
SmartPLS 4 Course Essentials: For Research and Data Analysis. The PLS-SEM technique is a composition-based SEM approach that aims to maximize the explained variance of the dependent constructs in the path model. Researchers and practitioners use PLS-SEM especially when conducting studies on success factors and sources of competitive advantage. Compared to other SEM techniques, PLS-SEM allows researchers to estimate very complex models with many constructs and indicator variables. In addition, PLS-SEM allows the estimation of reflective and formative constructs and generally offers great flexibility in terms of data requirements. The purpose of PLS-SEM is to explain variances (the predictive nature of the method) rather than covariances (theory testing by covariance-based SEM, CB-SEM). When the assumptions of CB-SEM are violated and the proposed cause-effect relationships are not sufficiently explored, the application of the PLS-SEM method is highly desirable. This course includes:
- Why is data analysis necessary?
- Basic concepts related to SEM
- Data analysis with SPSS and SmartPLS
- Analysis of the measurement model
- Structural model analysis
- Mediator/Moderator Analysis
- Advanced issues in SmartPLS
- APA style explanation
- Real practice of Fiverr projects
- Getting Started with Fiverr Gigs
- Tips and tricks and much more
Course features include the following:
- Competitive advantage for conducting a doctoral and master’s degree
- Required tools for scientific publications
- High acceptance rate in leading business journals
- Simple explanation of statistical analysis
- Focus on theory and practice
- Become a global data analyst and freelancer
- Great shipping option
- High demand in local and global markets
What you will learn in the course “Fundamentals of SmartPLS 4: For Research and Data Analysis”
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Introduction of basic concepts related to multivariate analysis and SEM.
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Demonstration of basic applications of SEM in research with SmartPLS 4.
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Shows the steps to prepare and create a data file using SPSS.
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Provide hands-on training on applying SEM using authentic data sets and reporting results.
This course is suitable for people who
- Researchers
- Faculty
- Students of the University
- Doctoral students
- freelancing
Basic course SmartPLS 4: For research and data analysis
- Editor: Udemy
- Teacher: Shahedul Hasan
- Training level: beginner to advanced
- Training duration: 1 hour and 49 minutes
- Number of courses: 19
Headlines of the course on 9/2023
SmartPLS 4 Fundamentals: Course Prerequisites for Research and Data Analysis
- Basic knowledge of multivariate techniques such as factor analysis and multiple regression.
Pictures of the course Essentials of SmartPLS 4: For Research and Data Analysis
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