Langue: anglais
Edité par Information Age Publishing, 2022
ISBN 10 : 1648028713 ISBN 13 : 9781648028717
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ISBN 10 : 1648028713 ISBN 13 : 9781648028717
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Ajouter au panierPaperback. Etat : New. Multilevel Modeling Methods with Introductory and Advanced Applications provides a cogent and comprehensive introduction to the area of multilevel modeling for methodological and applied researchers as well as advanced graduate students. The book is designed to be able to serve as a textbook for a one or two semester course in multilevel modeling. The topics of the seventeen chapters range from basic to advanced, yet each chapter is designed to be able to stand alone as an instructional unit on its respective topic, with an emphasis on application and interpretation.In addition to covering foundational topics on the use of multilevel models for organizational and longitudinal research, the book includes chapters on more advanced extensions and applications, such as cross-classified random effects models, non-linear growth models, mixed effects location scale models, logistic, ordinal, and Poisson models, and multilevel mediation. In addition, the volume includes chapters addressing some of the most important design and analytic issues including missing data, power analyses, causal inference, model fit, and measurement issues. Finally, the volume includes chapters addressing special topics such as using large-scale complex sample datasets, and reporting the results of multilevel designs.
Langue: anglais
Edité par Information Age Publishing, 2022
ISBN 10 : 1648028713 ISBN 13 : 9781648028717
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Langue: anglais
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ISBN 10 : 1648028713 ISBN 13 : 9781648028717
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Ajouter au panierPaperback / softback. Etat : New. New copy - Usually dispatched within 4 working days.
Langue: anglais
Edité par Information Age Publishing, 2022
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Langue: anglais
Edité par Emerald Publishing Inc, US, 2022
ISBN 10 : 1648028713 ISBN 13 : 9781648028717
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Ajouter au panierPaperback. Etat : New. Multilevel Modeling Methods with Introductory and Advanced Applications provides a cogent and comprehensive introduction to the area of multilevel modeling for methodological and applied researchers as well as advanced graduate students. The book is designed to be able to serve as a textbook for a one or two semester course in multilevel modeling. The topics of the seventeen chapters range from basic to advanced, yet each chapter is designed to be able to stand alone as an instructional unit on its respective topic, with an emphasis on application and interpretation.In addition to covering foundational topics on the use of multilevel models for organizational and longitudinal research, the book includes chapters on more advanced extensions and applications, such as cross-classified random effects models, non-linear growth models, mixed effects location scale models, logistic, ordinal, and Poisson models, and multilevel mediation. In addition, the volume includes chapters addressing some of the most important design and analytic issues including missing data, power analyses, causal inference, model fit, and measurement issues. Finally, the volume includes chapters addressing special topics such as using large-scale complex sample datasets, and reporting the results of multilevel designs.
Langue: anglais
Edité par Emerald Publishing Inc, US, 2022
ISBN 10 : 1648028713 ISBN 13 : 9781648028717
Vendeur : Rarewaves USA United, OSWEGO, IL, Etats-Unis
EUR 72,55
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Ajouter au panierPaperback. Etat : New. Multilevel Modeling Methods with Introductory and Advanced Applications provides a cogent and comprehensive introduction to the area of multilevel modeling for methodological and applied researchers as well as advanced graduate students. The book is designed to be able to serve as a textbook for a one or two semester course in multilevel modeling. The topics of the seventeen chapters range from basic to advanced, yet each chapter is designed to be able to stand alone as an instructional unit on its respective topic, with an emphasis on application and interpretation.In addition to covering foundational topics on the use of multilevel models for organizational and longitudinal research, the book includes chapters on more advanced extensions and applications, such as cross-classified random effects models, non-linear growth models, mixed effects location scale models, logistic, ordinal, and Poisson models, and multilevel mediation. In addition, the volume includes chapters addressing some of the most important design and analytic issues including missing data, power analyses, causal inference, model fit, and measurement issues. Finally, the volume includes chapters addressing special topics such as using large-scale complex sample datasets, and reporting the results of multilevel designs.
Langue: anglais
Edité par Information Age Publishing, 2022
ISBN 10 : 1648028721 ISBN 13 : 9781648028724
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
EUR 115,87
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Langue: anglais
Edité par Information Age Publishing, 2022
ISBN 10 : 1648028721 ISBN 13 : 9781648028724
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EUR 124,96
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EUR 127,83
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Langue: anglais
Edité par Information Age Publishing, 2022
ISBN 10 : 1648028721 ISBN 13 : 9781648028724
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EUR 117,24
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Langue: anglais
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ISBN 10 : 1648028721 ISBN 13 : 9781648028724
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EUR 115,40
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Langue: anglais
Edité par Information Age Publishing, 2022
ISBN 10 : 1648028721 ISBN 13 : 9781648028724
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EUR 115,39
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Langue: anglais
Edité par Emerald Publishing Inc, US, 2022
ISBN 10 : 1648028721 ISBN 13 : 9781648028724
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EUR 137,62
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Ajouter au panierHardback. Etat : New. Multilevel Modeling Methods with Introductory and Advanced Applications provides a cogent and comprehensive introduction to the area of multilevel modeling for methodological and applied researchers as well as advanced graduate students. The book is designed to be able to serve as a textbook for a one or two semester course in multilevel modeling. The topics of the seventeen chapters range from basic to advanced, yet each chapter is designed to be able to stand alone as an instructional unit on its respective topic, with an emphasis on application and interpretation.In addition to covering foundational topics on the use of multilevel models for organizational and longitudinal research, the book includes chapters on more advanced extensions and applications, such as cross-classified random effects models, non-linear growth models, mixed effects location scale models, logistic, ordinal, and Poisson models, and multilevel mediation. In addition, the volume includes chapters addressing some of the most important design and analytic issues including missing data, power analyses, causal inference, model fit, and measurement issues. Finally, the volume includes chapters addressing special topics such as using large-scale complex sample datasets, and reporting the results of multilevel designs.
Langue: anglais
Edité par Information Age Publishing, 2022
ISBN 10 : 1648028721 ISBN 13 : 9781648028724
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
EUR 127,29
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Langue: anglais
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EUR 127,07
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Langue: anglais
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ISBN 10 : 1648028721 ISBN 13 : 9781648028724
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EUR 127,49
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Langue: anglais
Edité par Information Age Publishing, 2022
ISBN 10 : 1648028721 ISBN 13 : 9781648028724
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Langue: anglais
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EUR 163,14
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Langue: anglais
Edité par Emerald Publishing Inc, US, 2022
ISBN 10 : 1648028721 ISBN 13 : 9781648028724
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EUR 139,69
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Ajouter au panierHardback. Etat : New. Multilevel Modeling Methods with Introductory and Advanced Applications provides a cogent and comprehensive introduction to the area of multilevel modeling for methodological and applied researchers as well as advanced graduate students. The book is designed to be able to serve as a textbook for a one or two semester course in multilevel modeling. The topics of the seventeen chapters range from basic to advanced, yet each chapter is designed to be able to stand alone as an instructional unit on its respective topic, with an emphasis on application and interpretation.In addition to covering foundational topics on the use of multilevel models for organizational and longitudinal research, the book includes chapters on more advanced extensions and applications, such as cross-classified random effects models, non-linear growth models, mixed effects location scale models, logistic, ordinal, and Poisson models, and multilevel mediation. In addition, the volume includes chapters addressing some of the most important design and analytic issues including missing data, power analyses, causal inference, model fit, and measurement issues. Finally, the volume includes chapters addressing special topics such as using large-scale complex sample datasets, and reporting the results of multilevel designs.