This course provides a practical approach to mastering SmartPLS 2.0, focusing on its powerful features and reporting capabilities. Participants will learn to specify, model, estimate, and interpret various PLS path model parameters effectively.
Key Learning Outcomes
- PLS path model parameters: Gain insights into direct, indirect, total, mediating, and moderating effects within PLS path models, enhancing your analytical skills and improving your research outcomes.
- SmartPLS 2.0 functionalities: Engage with live demonstrations that illustrate the software’s capabilities, ensuring a hands-on learning experience that reinforces theoretical knowledge and practical application.
- Bootstrapping and blindfolding: Understand essential computational processes that validate your models, allowing for robust analysis and interpretation of results, crucial for accurate data-driven decisions.
- Interpreting path coefficients: Learn how to evaluate predictive variance in latent variables and understand default report data, which is vital for effective data analysis and research reporting.
Upon completion, participants will be equipped with the skills to effectively utilize SmartPLS 2.0 for PLS path modeling, making them valuable assets in academic and research settings.
Who This Course Is For
- Graduate students pursuing research in quantitative methods and requiring advanced skills in PLS path modeling.
- Faculty members looking to enhance their teaching methodologies with practical applications of SmartPLS 2.0 in their courses.
- Researchers involved in data analysis who need to apply PLS path modeling techniques for their projects.
File Details
Total Size: 4.3GB
How to Get Your Files:
– Enter your email address in the "Message" field at checkout.
– Your Google Drive access link will be emailed immediately after payment confirmation.
– Enjoy Lifetime Access to stream or download your files.
Important Notice:
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