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Multilevel and Longitudinal Modeling Using Stata, Volumes I and II
Taschenbuch von Berkeley, USA) Sophia Rabe-Hesketh (University of California (u. a.)
Sprache: Englisch

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Beschreibung
Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in which observations are groupedwhether those groups are formed by a nesting structure, such as children nested in classrooms, or formed by repeated observations on the same individuals. This text introduces random-effects models, fixed-effects models, mixed-effects models, marginal models, dynamic models, and growth-curve models, all of which account for the grouped nature of these types of data. As Rabe-Hesketh and Skrondal introduce each model, they explain when the model is useful, its assumptions, how to fit and evaluate the model using Stata, and how to interpret the results. With this comprehensive coverage, researchers who need to apply multilevel models will find this book to be the perfect companion. It is also the ideal text for courses in multilevel modeling because it provides examples from a variety of disciplines as well as end-of-chapter exercises that allow students to practice newly learned material.

The book comprises two volumes. Volume I focuses on linear models for continuous outcomes, while volume II focuses on generalized linear models for binary, ordinal, count, and other types of outcomes.

Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in which observations are groupedwhether those groups are formed by a nesting structure, such as children nested in classrooms, or formed by repeated observations on the same individuals. This text introduces random-effects models, fixed-effects models, mixed-effects models, marginal models, dynamic models, and growth-curve models, all of which account for the grouped nature of these types of data. As Rabe-Hesketh and Skrondal introduce each model, they explain when the model is useful, its assumptions, how to fit and evaluate the model using Stata, and how to interpret the results. With this comprehensive coverage, researchers who need to apply multilevel models will find this book to be the perfect companion. It is also the ideal text for courses in multilevel modeling because it provides examples from a variety of disciplines as well as end-of-chapter exercises that allow students to practice newly learned material.

The book comprises two volumes. Volume I focuses on linear models for continuous outcomes, while volume II focuses on generalized linear models for binary, ordinal, count, and other types of outcomes.

Details
Erscheinungsjahr: 2022
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781597181365
ISBN-10: 1597181366
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Sophia Rabe-Hesketh (University of California, Berkeley, USA)
Anders Skrondal (London School of Economics, UK)
Auflage: 4. Auflage
Hersteller: Stata Press
Verantwortliche Person für die EU: preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de
Maße: 240 x 186 x 70 mm
Von/Mit: Berkeley, USA) Sophia Rabe-Hesketh (University of California (u. a.)
Erscheinungsdatum: 22.10.2021
Gewicht: 2,404 kg
Artikel-ID: 128205086
Details
Erscheinungsjahr: 2022
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781597181365
ISBN-10: 1597181366
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Sophia Rabe-Hesketh (University of California, Berkeley, USA)
Anders Skrondal (London School of Economics, UK)
Auflage: 4. Auflage
Hersteller: Stata Press
Verantwortliche Person für die EU: preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de
Maße: 240 x 186 x 70 mm
Von/Mit: Berkeley, USA) Sophia Rabe-Hesketh (University of California (u. a.)
Erscheinungsdatum: 22.10.2021
Gewicht: 2,404 kg
Artikel-ID: 128205086
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