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Structural Equation Modeling. A Second Course (2nd Edition)
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Автор на обложке
Gregory R. Hancock; Ralph O. Mueller
Год выпуска
2026
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Офсетная
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Мягкая обложка
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Печатная книга «Structural Equation Modeling. A Second Course (2nd Edition)» в мягкой обложке, язык - английский. В книге 702 страниц, она напечатана на белой офсетной бумаге плотностью 80 г/м². Форма
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Structural Equation Modeling. A Second Course (2nd Edition)Печатная книга «Structural Equation Modeling. A Second Course (2nd Edition)» в мягкой обложке, язык - английский. В книге 702 страниц, она напечатана на белой офсетной бумаге плотностью 80 г/м². Формат издания — 156x234 мм. Все книги аккуратно упаковываем в прочный трёхслойный непрозрачный картонный конверт.
This volume is the second edition of Hancock and Mueller's highly-successful 2006 volume, with
all of the original chapters updated as well as four new chapters. The second edition, like the first,
is intended to serve as a didactically-oriented resource for graduate students and research professionals,
covering a broad range of advanced topics often not discussed in introductory courses on
structural equation modeling (SEM). Such topics are important in furthering the understanding of
foundations and assumptions underlying SEM as well as in exploring SEM, as a potential tool to address new types of research questions
that might not have arisen during a first course. Chapters focus on the clear explanation and application of topics, rather than on
analytical derivations, and contain materials from popular SEM software.
"This book represents a significant updating and expansion of Hancock and Mueller's excellent first edition that explores a variety of
topics not typically covered in introductory SEM courses. The second edition is again characterized by the substantial strengths of the
original text including a clearly articulated didactic presentation style and a cohesive voice that connects each chapter to the next. This
revised edition not only incorporates comprehensive updates to the original material but also includes the addition of a number of
wholly new chapters covering important and contemporary topics including partial least squares estimation, conditional process modeling,
exploratory SEM, and Bayesian estimation. Taken together, this is an indispensable resource for both beginner and advanced users
of SEM across the social and behavioral sciences; I recommend it highly_" -- Patrick J. Curran, University of North Carolina at Chapel
Hill
This volume is the second edition of Hancock and Mueller's highly-successful 2006 volume, with
all of the original chapters updated as well as four new chapters. The second edition, like the first,
is intended to serve as a didactically-oriented resource for graduate students and research professionals,
covering a broad range of advanced topics often not discussed in introductory courses on
structural equation modeling (SEM). Such topics are important in furthering the understanding of
foundations and assumptions underlying SEM as well as in exploring SEM, as a potential tool to address new types of research questions
that might not have arisen during a first course. Chapters focus on the clear explanation and application of topics, rather than on
analytical derivations, and contain materials from popular SEM software.
"This book represents a significant updating and expansion of Hancock and Mueller's excellent first edition that explores a variety of
topics not typically covered in introductory SEM courses. The second edition is again characterized by the substantial strengths of the
original text including a clearly articulated didactic presentation style and a cohesive voice that connects each chapter to the next. This
revised edition not only incorporates comprehensive updates to the original material but also includes the addition of a number of
wholly new chapters covering important and contemporary topics including partial least squares estimation, conditional process modeling,
exploratory SEM, and Bayesian estimation. Taken together, this is an indispensable resource for both beginner and advanced users
of SEM across the social and behavioral sciences; I recommend it highly_" -- Patrick J. Curran, University of North Carolina at Chapel
Hill
- Артикул
- 5180107184
- Автор на обложке
- Gregory R. Hancock; Ralph O. Mueller
- Год выпуска
- 2026
- Тип бумаги в книге
- Офсетная
- Тип обложки
- Мягкая обложка
- Тип книги
- Печать по требованию
- Язык издания
- Английский
- Количество страниц
- 702
- Размеры, мм
- 156x234
- Вес товара, г
- 1150
- ISBN
- 9781623962449
- Возрастные ограничения
- 12+
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