Mastering Partial Least Squares Structural Equation Modeling PLS-SEM With SmartPLS in 38 Hours
Mastering Partial Least Squares Structural Equation Modeling (Pls-Sem) with Smartpls in 38 Hours
Mastering Partial Least Squares Structural Equation Modeling PLS-SEM With SmartPLS in 38 Hours
Artikelnr.: 17225128

Mastering Partial Least Squares Structural Equation Modeling PLS-SEM With SmartPLS in 38 Hours

Artikelnr.: 17225128

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Besondere Merkmale

Comprehensive Guide
This book provides an in-depth understanding of Partial Least Squares Structural Equation Modeling, making complex concepts accessible for beginners and experienced users alike.
Hands-On Approach
With practical examples and SmartPLS software integration, readers gain real-world skills in data analysis, enhancing their research accuracy and efficiency.
Time Efficient Learning
Designed for busy professionals and students, the 38-hour framework offers structured content that ensures effective learning without overwhelming readers.

Produktdetails

Learn PLS-SEM with Smartpls in just 38 hours with the comprehensive book 'Mastering Partial Least Squares Structural Equation Modeling'. Available at Ubuy Switzerland. Order now!
  • Comprehensive guide to Partial Least Squares (PLS) in structural equation modeling
  • Ideal for graduate students and marketing practitioners
  • Includes step-by-step guidelines for advanced PLS-SEM procedures in SmartPLS
  • Covers concepts such as CTA-PLS, FIMIX-PLS, GoF, HCM, HTMT, IPMA, and more
  • Filled with useful illustrations and business examples for practical application
  • Endorsed by Professor Siva Muthaly, Dean of Faculty of Business and Management at APU
Artikelgewicht1 lbs (450 grams)

Für wen ist das Produkt geeignet?

Suitable For
  • Graduate Students

    Ideal for graduate students needing a comprehensive guide to understand PLS-SEM methodology and software application.

  • Researchers

    Beneficial for researchers seeking to employ advanced statistical techniques for data analysis in their studies.

  • Data Analysts

    Useful for data analysts looking to enhance their skills in structural equation modeling using SmartPLS.

Not Suitable For
  • Anfänger

    Not suitable for complete beginners unfamiliar with statistical concepts or software usage.

  • Gelegentliche Leser

    Not recommended for those looking for light reading; the content requires focused study and application.

  • Nicht-technische Benutzer

    May be challenging for users without a solid foundation in statistics or analytical methods.

PRODUKTBESCHREIBUNG

Mastering Partial Least Squares Structural Equation Modeling PLS-SEM With SmartPLS in 38 Hours

Haben Sie eine Frage? Mit uns chatten

Kunden Fragen und Antworten

  • Frage: What is Partial Least Squares Structural Equation Modeling (PLS-SEM)?

    Antworten: Partial Least Squares Structural Equation Modeling (PLS-SEM) is a statistical technique used to analyze complex relationships between variables. It combines statistical analysis with multivariate techniques to determine the relationships in a model. PLS-SEM is particularly useful in exploratory research where the confirmation of existing theories is not the primary aim. This method is favored for its ability to handle small sample sizes and its strength in predictive modeling.
  • Frage: Who is the author of 'Mastering Partial Least Squares Structural Equation Modeling PLS-SEM with SmartPLS'?

    Antworten: The book 'Mastering Partial Least Squares Structural Equation Modeling PLS-SEM with SmartPLS' is authored by Joseph F. Hair Jr., G. Tomas M. Hult, Christian M. Ringle, and Marko Sarstedt. Their expertise in the field of marketing and business research adds significant value to this publication, making it a trusted resource for students, researchers, and professionals looking to master PLS-SEM techniques.
  • Frage: What are the key topics covered in this book?

    Antworten: This book covers essential topics such as the theoretical foundations of PLS-SEM, model assessment criteria, and practical guidance on using SmartPLS software. It offers step-by-step instructions to help users navigate their analyses effectively. By emphasizing both theoretical understanding and practical application, it serves as a comprehensive guide for anyone interested in mastering PLS-SEM, whether for academic research or business analytics.
  • Frage: Is prior knowledge of statistics required to understand the book?

    Antworten: While a basic understanding of statistics is beneficial, the book is designed to accommodate readers with various levels of expertise. It aims to break down complex statistical concepts into manageable information, making it accessible to beginners. For users with more experience, it provides in-depth discussions that enhance your knowledge and understanding of advanced PLS-SEM techniques.
  • Frage: What software do you need to use with this book?

    Antworten: The book focuses on the use of SmartPLS software, which is a well-known tool for conducting partial least squares structural equation modeling. It includes detailed tutorials and examples demonstrating how to utilize SmartPLS for your analyses. Having the software installed will be essential to follow along with the book's practical exercises and apply the concepts you're learning directly.
  • Frage: Can this book aid in preparing for academic research?

    Antworten: Absolutely! 'Mastering Partial Least Squares Structural Equation Modeling PLS-SEM with SmartPLS' is an excellent resource for students and researchers preparing for academic projects. It equips you with the necessary skills to design, conduct, and analyze your studies using PLS-SEM, enhancing the quality and credibility of your research findings.
  • Frage: What is the recommended print format for this book?

    Antworten: The recommended format for this book is the paperback edition, which offers durability and ease of use for reference during study or practice. Being a physical copy, it allows you to annotate, highlight and make notes, making the learning experience more interactive and personalized. This can be particularly helpful when studying complex concepts in PLS-SEM.
  • Frage: Who should I recommend this book to?

    Antworten: This book is perfect for a variety of audiences including graduate students, academic researchers, business analysts, and marketing professionals. If you or someone you know is involved in data analysis, business research, or looking to improve their understanding of structural equation modeling, this book would serve as a valuable resource to enhance practical knowledge and analytical skills.
  • Frage: Why is PLS-SEM increasingly popular in research?

    Antworten: PLS-SEM is gaining popularity due to its flexibility and capacity to handle various types of data. It is particularly well-suited for complex models with multiple constructs. Its predictive capabilities make it a preferred choice in fields like marketing, social sciences, and management. As researchers increasingly seek to unveil intricate relationships among variables in their studies, PLS-SEM serves as a powerful analytical tool to meet these demands.
  • Frage: Where can I buy 'Mastering Partial Least Squares Structural Equation Modeling PLS-SEM with SmartPLS'?

    Antworten: You can purchase 'Mastering Partial Least Squares Structural Equation Modeling PLS-SEM with SmartPLS' on Ubuy, which offers a wide selection of books. Ubuy is known for its reliable service, making it a great choice for acquiring this essential resource in PLS-SEM. Simply search for the title on the Ubuy website to access it conveniently.

Research Editorial Review

This book serves as a great reference for beginners in data analytics, especially for those working on their dissertations. It provides clear and easy-to-follow explanations on how to use the SmartPLS software for PLS-SEM. However, if you're looking for more advanced topics in PLS-SEM, you may need to supplement it with other books. Overall, it is well-organized and worth the investment.

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Vorteile

  • Clear and easy-to-follow explanations
  • Great reference for beginners in data analytics
  • Well-organized

Nachteile

  • Lacks breadth in topics covered

Produktpreisverlauf

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