Essentials of SmartPLS 4 course: For Research and Data Analysis. The PLS-SEM technique is a composition-based approach to SEM 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.
Essentials Of Smartpls 4: For Research And Data Analysis
Published 8/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English
SmartPLS v4.1.0.3 Download SmartPLS (Latest release: 4.1.0.3)
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 shaping constructs and generally offers great flexibility in terms of data requirements.
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The purpose of PLS-SEM is to explain variances (the predictive nature of the method) instead of explaining covariances (theory testing through covariance-based SEM, CB-SEM). If the assumptions of CB-SEM are violated and the proposed cause-and-effect relationships are not sufficiently investigated, the application of the PLS-SEM method is highly desirable. This course will include the following:
- Why is data analysis needed?
- Basic concepts related to SEM
- Data analysis using SPSS and SmartPLS
- Analysis of the measurement model
- Structural model analysis
- Mediator/moderator analysis
- Advanced issues in SmartPLS
- Explanation in APA style
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Course features include but are not limited to the following:
- Competitive advantage for pursuing doctoral and master’s studies
- Required tools for scientific publication
- High acceptance rate by top business journals
- Easy explanation of statistical analysis
- Focus on theory and practice
- Become a global data analyst and freelancer
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What you will learn in the Essentials of SmartPLS 4: For Research and Data Analysis course
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Introduction of basic concepts related to multivariate analysis and SEM.
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To demonstrate the fundamental applications of SEM in research using SmartPLS 4.
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To show the steps of preparing and creating a data file using SPSS.
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Provide practical training on the application of SEM using authentic data sets and reporting results.
This course is suitable for people who
- researchers
- Faculty
- students of University
- PhD researchers
- Freelancing