Structural Equation Modeling With Amos
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Business & Economics
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格式
平装书
页数
416
语言
英语
已发布
Jan 1, 2010
出版商
T&F India
版本
Second Edition
ISBN-10
0805863737
ISBN-13
9780805863734
描述
This insightful work delves into the intricacies of structural equation modeling (SEM), focusing on the use of AMOS, a powerful statistical software package. The author presents a clear and accessible approach to both basic and advanced concepts, making it suitable for beginners and experienced researchers alike. Readers will appreciate the comprehensive explanations and practical examples that bring theoretical concepts to life.
Through detailed discussions, the text guides readers on how to construct and evaluate SEM models, emphasizing the importance of model fit and how to interpret results effectively. Each chapter builds upon the last, gradually introducing more complex topics while maintaining clarity. The emphasis on real-world applications helps to reinforce understanding and illustrate the relevance of SEM in various research fields.
Additionally, the author addresses common challenges and pitfalls encountered in the modeling process, equipping readers with strategies to navigate these obstacles. This thorough exploration of SEM with AMOS is an invaluable resource for anyone looking to enhance their research methodologies and embrace the power of statistical analysis.
Through detailed discussions, the text guides readers on how to construct and evaluate SEM models, emphasizing the importance of model fit and how to interpret results effectively. Each chapter builds upon the last, gradually introducing more complex topics while maintaining clarity. The emphasis on real-world applications helps to reinforce understanding and illustrate the relevance of SEM in various research fields.
Additionally, the author addresses common challenges and pitfalls encountered in the modeling process, equipping readers with strategies to navigate these obstacles. This thorough exploration of SEM with AMOS is an invaluable resource for anyone looking to enhance their research methodologies and embrace the power of statistical analysis.