9780367424619 - multilevel and longitudinal modeling with ibm spss di heck, ronald h.; thomas, scott l.; tabata, lynn n. (23 risultati)
Lingua: Inglese
Editore: Routledge 2022
Serie: Quantitative Methodologies, Libro 8 di 14. Libro 8 di 14 - Quantitative Methodologies
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paperback. Condizione: New. 3rd Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Lingua: Inglese
Editore: Routledge 2022
Serie: Quantitative Methodologies, Libro 8 di 14. Libro 8 di 14 - Quantitative Methodologies
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Paperback. Condizione: new. Paperback. Multilevel and Longitudinal Modeling with IBM SPSS, Third Edition, demonstrates how to use the multilevel and longitudinal modeling techniques available in IBM SPSS Versions 25-27. Annotated screenshots with all relevant output provide readers with a step-by-step understanding of each techn…ique as they are shown how to navigate the program. Throughout, diagnostic tools, data management issues, and related graphics are introduced. SPSS commands show the flow of the menu structure and how to facilitate model building, while annotated syntax is also available for those who prefer this approach. Extended examples illustrating the logic of model development and evaluation are included throughout the book, demonstrating the context and rationale of the research questions and the steps around which the analyses are structured. The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data management techniques that facilitate working with multilevel, longitudinal, or cross-classified data sets. The next few chapters introduce the basics of multilevel modeling, developing a multilevel model, extensions of the basic two-level model (e.g., three-level models, models for binary and ordinal outcomes), and troubleshooting techniques for everyday-use programming and modeling problems along with potential solutions. Models for investigating individual and organizational change are next developed, followed by models with multivariate outcomes and, finally, models with cross-classified and multiple membership data structures. The book concludes with thoughts about ways to expand on the various multilevel and longitudinal modeling techniques introduced and issues (e.g., missing data, sample weights) to keep in mind in conducting multilevel analyses. Key features of the third edition: Thoroughly updated throughout to reflect IBM SPSS Versions 26-27. Introduction to fixed-effects regression for examining change over time where random-effects modeling may not be an optimal choice. Additional treatment of key topics specifically aligned with multilevel modeling (e.g., models with binary and ordinal outcomes). Expanded coverage of models with cross-classified and multiple membership data structures. Added discussion on model checking for improvement (e.g., examining residuals, locating outliers). Further discussion of alternatives for dealing with missing data and the use of sample weights within multilevel data structures.Supported by online data sets, the book's practical approach makes it an essential text for graduate-level courses on multilevel, longitudinal, latent variable modeling, multivariate statistics, or advanced quantitative techniques taught in departments of business, education, health, psychology, and sociology. The book will also prove appealing to researchers in these fields. The book is designed to provide an excellent supplement to Heck and Thomas's An Introduction to Multilevel Modeling Techniques, Fourth Edition; however, it can also be used with any multilevel or longitudinal modeling book or as a stand-alone text. This text demonstrates how to use the multilevel- and longitudinal-modeling techniques available in IBM SPSS (Version 26). Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Routledge 2022
Serie: Quantitative Methodologies, Libro 8 di 14. Libro 8 di 14 - Quantitative Methodologies
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Serie: Quantitative Methodologies, Libro 8 di 14. Libro 8 di 14 - Quantitative Methodologies
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. 3 edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Routledge 2022
Serie: Quantitative Methodologies, Libro 8 di 14. Libro 8 di 14 - Quantitative Methodologies
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Serie: Quantitative Methodologies, Libro 8 di 14. Libro 8 di 14 - Quantitative Methodologies
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Serie: Quantitative Methodologies, Libro 8 di 14. Libro 8 di 14 - Quantitative Methodologies
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Editore: Taylor & Francis Ltd 2022
Serie: Quantitative Methodologies, Libro 8 di 14. Libro 8 di 14 - Quantitative Methodologies
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Lingua: Inglese
Editore: Taylor & Francis Ltd 2022
Serie: Quantitative Methodologies, Libro 8 di 14. Libro 8 di 14 - Quantitative Methodologies
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Condizione: New. 2022. 3rd Edition. Paperback. . . . . .
Lingua: Inglese
Editore: Taylor & Francis 2022
Serie: Quantitative Methodologies, Libro 8 di 14. Libro 8 di 14 - Quantitative Methodologies
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Serie: Quantitative Methodologies, Libro 8 di 14. Libro 8 di 14 - Quantitative Methodologies
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Condizione: New. 2022. 3rd Edition. Paperback. . . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: Routledge 2022
Serie: Quantitative Methodologies, Libro 8 di 14. Libro 8 di 14 - Quantitative Methodologies
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Paperback. Condizione: Brand New. 3rd edition. 544 pages. 10.50x8.00x1.25 inches. In Stock.
Altre immaginiLingua: Inglese
Editore: Routledge 2022
Serie: Quantitative Methodologies, Libro 8 di 14. Libro 8 di 14 - Quantitative Methodologies
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Taschenbuch. Condizione: Neu. Multilevel and Longitudinal Modeling with IBM SPSS | Ronald H. Heck (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | Routledge | EAN 9780367424619 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London 2022
Serie: Quantitative Methodologies, Libro 8 di 14. Libro 8 di 14 - Quantitative Methodologies
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Paperback. Condizione: new. Paperback. Multilevel and Longitudinal Modeling with IBM SPSS, Third Edition, demonstrates how to use the multilevel and longitudinal modeling techniques available in IBM SPSS Versions 25-27. Annotated screenshots with all relevant output provide readers with a step-by-step understanding of each techn…ique as they are shown how to navigate the program. Throughout, diagnostic tools, data management issues, and related graphics are introduced. SPSS commands show the flow of the menu structure and how to facilitate model building, while annotated syntax is also available for those who prefer this approach. Extended examples illustrating the logic of model development and evaluation are included throughout the book, demonstrating the context and rationale of the research questions and the steps around which the analyses are structured. The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data management techniques that facilitate working with multilevel, longitudinal, or cross-classified data sets. The next few chapters introduce the basics of multilevel modeling, developing a multilevel model, extensions of the basic two-level model (e.g., three-level models, models for binary and ordinal outcomes), and troubleshooting techniques for everyday-use programming and modeling problems along with potential solutions. Models for investigating individual and organizational change are next developed, followed by models with multivariate outcomes and, finally, models with cross-classified and multiple membership data structures. The book concludes with thoughts about ways to expand on the various multilevel and longitudinal modeling techniques introduced and issues (e.g., missing data, sample weights) to keep in mind in conducting multilevel analyses. Key features of the third edition: Thoroughly updated throughout to reflect IBM SPSS Versions 26-27. Introduction to fixed-effects regression for examining change over time where random-effects modeling may not be an optimal choice. Additional treatment of key topics specifically aligned with multilevel modeling (e.g., models with binary and ordinal outcomes). Expanded coverage of models with cross-classified and multiple membership data structures. Added discussion on model checking for improvement (e.g., examining residuals, locating outliers). Further discussion of alternatives for dealing with missing data and the use of sample weights within multilevel data structures.Supported by online data sets, the book's practical approach makes it an essential text for graduate-level courses on multilevel, longitudinal, latent variable modeling, multivariate statistics, or advanced quantitative techniques taught in departments of business, education, health, psychology, and sociology. The book will also prove appealing to researchers in these fields. The book is designed to provide an excellent supplement to Heck and Thomas's An Introduction to Multilevel Modeling Techniques, Fourth Edition; however, it can also be used with any multilevel or longitudinal modeling book or as a stand-alone text. This text demonstrates how to use the multilevel- and longitudinal-modeling techniques available in IBM SPSS (Version 26). Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Lingua: Inglese
Editore: Taylor and Francis 2022
Serie: Quantitative Methodologies, Libro 8 di 14. Libro 8 di 14 - Quantitative Methodologies
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PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Serie: Quantitative Methodologies, Libro 8 di 14. Libro 8 di 14 - Quantitative Methodologies
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Multilevel and Longitudinal Modeling with IBM SPSS, Third Edition, demonstrates how to use the multilevel and longitudinal modeling techniques available in IBM SPSS Versions 25-27. Annotated screenshots with all relevant output pro…vide readers with a step-by-step understanding of each technique as they are shown how to navigate the program. Throughout, diagnostic tools, data management issues, and related graphics are introduced. SPSS commands show the flow of the menu structure and how to facilitate model building, while annotated syntax is also available for those who prefer this approach. Extended examples illustrating the logic of model development and evaluation are included throughout the book, demonstrating the context and rationale of the research questions and the steps around which the analyses are structured. The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data management techniquesthat facilitate working with multilevel, longitudinal, or cross-classified data sets. The next few chapters introduce the basics of multilevel modeling, developing a multilevel model, extensions of the basic two-level model (e.g., three-level models, models for binary and ordinal outcomes), and troubleshooting techniques for everyday-use programming and modeling problems along with potential solutions. Models for investigating individual and organizational change are next developed, followed by models with multivariate outcomes and, finally, models with cross-classified and multiple membership data structures. The book concludes with thoughts about ways to expand on the various multilevel and longitudinal modeling techniques introduced and issues (e.g., missing data, sample weights) to keep in mind in conducting multilevel analyses. Key features of the third edition:Thoroughly updated throughout to reflect IBM SPSS Versions 26-27.Introduction to fixed-effects regression for examining change over time where random-effects modeling may not be an optimal choice.Additional treatment of key topics specifically aligned with multilevel modeling (e.g., models with binary and ordinal outcomes). Expanded coverage of models with cross-classified and multiple membership data structures.Added discussion on model checking for improvement (e.g., examining residuals, locating outliers). Further discussion of alternatives for dealing with missing data and the use of sample weights within multilevel data structures.Supported by online data sets, the book's practical approach makes it an essential text for graduate-level courses on multilevel, longitudinal, latent variable modeling, multivariate statistics, or advanced quantitative techniques taught in departments of business, education, health, psychology, and sociology. The book will also prove appealing to researchers in these fields. The book is designed to provide an excellent supplement to Heck and Thomas's An Introduction to Multilevel Modeling Techniques,Fourth Edition; however, it can also be used with any multilevel or longitudinal modeling book or as a stand-alone text. 496 pp. Englisch.
Lingua: Inglese
Editore: Taylor & Francis Ltd 2022
Serie: Quantitative Methodologies, Libro 8 di 14. Libro 8 di 14 - Quantitative Methodologies
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- Print on Demand
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Lingua: Inglese
Editore: Taylor & Francis Group 2022
Serie: Quantitative Methodologies, Libro 8 di 14. Libro 8 di 14 - Quantitative Methodologies
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Lingua: Inglese
Editore: Routledge 2022
Serie: Quantitative Methodologies, Libro 8 di 14. Libro 8 di 14 - Quantitative Methodologies
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Multilevel and Longitudinal Modeling with IBM SPSS, Third Edition, demonstrates how to use the multilevel and longitudinal modeling techniques available in IBM SPSS Versions 25-27. Annotated screenshots with all relevant output provide…readers with a step-by-step understanding of each technique as they are shown how to navigate the program. Throughout, diagnostic tools, data management issues, and related graphics are introduced. SPSS commands show the flow of the menu structure and how to facilitate model building, while annotated syntax is also available for those who prefer this approach. Extended examples illustrating the logic of model development and evaluation are included throughout the book, demonstrating the context and rationale of the research questions and the steps around which the analyses are structured. The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data management techniquesthat facilitate working with multilevel, longitudinal, or cross-classified data sets. The next few chapters introduce the basics of multilevel modeling, developing a multilevel model, extensions of the basic two-level model (e.g., three-level models, models for binary and ordinal outcomes), and troubleshooting techniques for everyday-use programming and modeling problems along with potential solutions. Models for investigating individual and organizational change are next developed, followed by models with multivariate outcomes and, finally, models with cross-classified and multiple membership data structures. The book concludes with thoughts about ways to expand on the various multilevel and longitudinal modeling techniques introduced and issues (e.g., missing data, sample weights) to keep in mind in conducting multilevel analyses. Key features of the third edition:Thoroughly updated throughout to reflect IBM SPSS Versions 26-27.Introduction to fixed-effects regression for examining change over time where random-effects modeling may not be an optimal choice.Additional treatment of key topics specifically aligned with multilevel modeling (e.g., models with binary and ordinal outcomes). Expanded coverage of models with cross-classified and multiple membership data structures.Added discussion on model checking for improvement (e.g., examining residuals, locating outliers). Further discussion of alternatives for dealing with missing data and the use of sample weights within multilevel data structures.Supported by online data sets, the book's practical approach makes it an essential text for graduate-level courses on multilevel, longitudinal, latent variable modeling, multivariate statistics, or advanced quantitative techniques taught in departments of business, education, health, psychology, and sociology. The book will also prove appealing to researchers in these fields. The book is designed to provide an excellent supplement to Heck and Thomas's An Introduction to Multilevel Modeling Techniques,Fourth Edition; however, it can also be used with any multilevel or longitudinal modeling book or as a stand-alone text.
