Data Analysis Using Regression and Multilevel/Hierarchical Models (Analytical Methods for Social Research)

4,35 valoración promedio
( 155 valoraciones por GoodReads )
 
9780521686891: Data Analysis Using Regression and Multilevel/Hierarchical Models (Analytical Methods for Social Research)

Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. It introduces and demonstrates a variety of models and instructs the reader in how to fit these models using freely available software packages.

"Sinopsis" puede pertenecer a otra edición de este libro.

Review:

'Data Analysis Using Regression and Multilevel/Hierarchical Models' … careful yet mathematically accessible style is generously illustrated with examples and graphical displays, making it ideal for either classroom use or self-study. It appears destined to adorn the shelves of a great many applied statisticians and social scientists for years to come.' Brad Carlin, University of Minnesota

'Gelman and Hill have written what may be the first truly modern book on modeling. Containing practical as well as methodological insights into both Bayesian and traditional approaches, Data Analysis Using Regression and Multilevel/Hierarchical Models provides useful guidance into the process of building and evaluating models. For the social scientist and other applied statisticians interested in linear and logistic regression, causal inference, and hierarchical models, it should prove invaluable either as a classroom text or as an addition to the research bookshelf.' Richard De Veaux, Williams College

'The theme of Gelman and Hill's engaging and nontechnical introduction to statistical modeling is 'Be flexible'. Using a broad array of examples written in R and WinBugs, the authors illustrate the many ways in which readers can build more flexibility into their predictive and causal models. This hands-on textbook is sure to become a popular choice in applied regression courses.' Donald Green, Yale University

'Simply put, Data Analysis Using Regression and Multilevel/Hierarchical Models is the best place to learn how to do serious empirical research. Gelman and Hill have written a much needed book that is sophisticated about research design without being technical. Data Analysis Using Regression and Multilevel/Hierarchical Models is destined to be a classic!' Alex Tabarrok, George Mason University

'… a detailed, carefully written exposition of the modelling challenge, using numerous convincing examples, and always paying careful attention to the practical aspects of modelling. I recommend it very warmly.' Journal of Applied Statistics

'Data Analysis Using Regression and Multilevel/Hierarchical Models is the book I wish I had in graduate school. … The text is an obvious candidate for use in courses or course modules on multilevel modeling, especially in Part 2. Beyond that, where should it be used? Instructors of first-year graduate methods courses should consider complementing their texts with material from Part 1. Many use Kennedy's A Guide to Econometrics (2003) to provide an alternative take in the essentials. Data Analysis is better suited for taking on this role. Students will find its coverage less redundant of what they get from standard texts, and the use of non-economics based examples should also help sell quantitative research to skeptical incomers into the profession.' The Political Methodologist

From the Publisher:

Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors' own applied research, with programming codes provided for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided throughout.

"Sobre este título" puede pertenecer a otra edición de este libro.

Comprar nuevo Ver libro

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America

Destinos, gastos y plazos de envío

Añadir al carrito

Los mejores resultados en AbeBooks

1.

Gelman, Andrew; Hill, Jennifer
Editorial: CAMBRIDGE UNIVERSITY PRESS, United Kingdom (2011)
ISBN 10: 052168689X ISBN 13: 9780521686891
Nuevos Paperback Cantidad: 10
Librería
The Book Depository
(London, Reino Unido)
Valoración
[?]

Descripción CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2011. Paperback. Estado de conservación: New. 252 x 178 mm. Language: English . Brand New Book. Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors own applied research, with programming codes provided for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided throughout. Nº de ref. de la librería AAA9780521686891

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 46,95
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

2.

Gelman, Andrew; Hill, Jennifer
ISBN 10: 052168689X ISBN 13: 9780521686891
Nuevos Cantidad: 5
Librería
GreatBookPrices
(Columbia, MD, Estados Unidos de America)
Valoración
[?]

Descripción Estado de conservación: New. Nº de ref. de la librería 4403277-n

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 44,75
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 2,49
A Estados Unidos de America
Destinos, gastos y plazos de envío

3.

Gelman, Andrew; Hill, Jennifer
Editorial: CAMBRIDGE UNIVERSITY PRESS, United Kingdom (2011)
ISBN 10: 052168689X ISBN 13: 9780521686891
Nuevos Paperback Cantidad: 10
Librería
The Book Depository US
(London, Reino Unido)
Valoración
[?]

Descripción CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2011. Paperback. Estado de conservación: New. 252 x 178 mm. Language: English . Brand New Book. Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors own applied research, with programming codes provided for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided throughout. Nº de ref. de la librería AAA9780521686891

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 47,37
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

4.

Gelman, Andrew; Hill, Jennifer
Editorial: Cambridge University Press 2006-12-18, Cambridge (2006)
ISBN 10: 052168689X ISBN 13: 9780521686891
Nuevos paperback Cantidad: > 20
Librería
Blackwell's
(Oxford, OX, Reino Unido)
Valoración
[?]

Descripción Cambridge University Press 2006-12-18, Cambridge, 2006. paperback. Estado de conservación: New. Nº de ref. de la librería 9780521686891

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 43,92
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 5,33
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

5.

Gelman, Andrew; Hill, Jennifer
Editorial: Cambridge University Press (2006)
ISBN 10: 052168689X ISBN 13: 9780521686891
Nuevos Cantidad: > 20
Librería
Books2Anywhere
(Fairford, GLOS, Reino Unido)
Valoración
[?]

Descripción Cambridge University Press, 2006. PAP. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería FM-9780521686891

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 39,20
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 10,66
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

6.

Gelman, Andrew; Hill, Jennifer
Editorial: Cambridge University Press
ISBN 10: 052168689X ISBN 13: 9780521686891
Nuevos Paperback Cantidad: > 20
Librería
THE SAINT BOOKSTORE
(Southport, Reino Unido)
Valoración
[?]

Descripción Cambridge University Press. Paperback. Estado de conservación: new. BRAND NEW, Data Analysis Using Regression and Multilevel / Hierarchical Models, Andrew Gelman, Jennifer Hill, R. Michael Alvarez, Nathaniel L. Beck, Lawrence L. Wu, Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors' own applied research, with programming codes provided for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided throughout. Nº de ref. de la librería B9780521686891

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 45,78
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 7,04
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

7.

Gelman, Andrew; Hill, Jennifer
Editorial: Cambridge University Press (2006)
ISBN 10: 052168689X ISBN 13: 9780521686891
Nuevos Tapa blanda Cantidad: > 20
Librería
Ria Christie Collections
(Uxbridge, Reino Unido)
Valoración
[?]

Descripción Cambridge University Press, 2006. Estado de conservación: New. book. Nº de ref. de la librería ria9780521686891_rkm

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 50,76
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 3,39
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

8.

Gelman, Andrew; Hill, Jennifer
Editorial: Cambridge University Press (2006)
ISBN 10: 052168689X ISBN 13: 9780521686891
Nuevos Tapa blanda Cantidad: 1
Librería
Book Deals
(Lewiston, NY, Estados Unidos de America)
Valoración
[?]

Descripción Cambridge University Press, 2006. Estado de conservación: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: 1. Why?; 2. Concepts and methods from basic probability and statistics; Part I. A. Single-Level Regression: 3. Linear regression: the basics; 4. Linear regression: before and after fitting the model; 5. Logistic regression; 6. Generalized linear models; Part I. B. Working with Regression Inferences: 7. Simulation of probability models and statistical inferences; 8. Simulation for checking statistical procedures and model fits; 9. Causal inference using regression on the treatment variable; 10. Causal inference using more advanced models; Part II. A. Multilevel Regression: 11. Multilevel structures; 12. Multilevel linear models: the basics; 13. Multilevel linear models: varying slopes, non-nested models and other complexities; 14. Multilevel logistic regression; 15. Multilevel generalized linear models; Part II. B. Fitting Multilevel Models: 16. Multilevel modeling in bugs and R: the basics; 17. Fitting multilevel linear and generalized linear models in bugs and R; 18. Likelihood and Bayesian inference and computation; 19. Debugging and speeding convergence; Part III. From Data Collection to Model Understanding to Model Checking: 20. Sample size and power calculations; 21. Understanding and summarizing the fitted models; 22. Analysis of variance; 23. Causal inference using multilevel models; 24. Model checking and comparison; 25. Missing data imputation; Appendixes: A. Six quick tips to improve your regression modeling; B. Statistical graphics for research and presentation; C. Software; References. Nº de ref. de la librería ABE_book_new_052168689X

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 55,05
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
A Estados Unidos de America
Destinos, gastos y plazos de envío

9.

Gelman, Andrew; Hill, Jennifer
ISBN 10: 052168689X ISBN 13: 9780521686891
Nuevos Cantidad: 2
Librería
firstbookstore
(New Delhi, India)
Valoración
[?]

Descripción Estado de conservación: Brand New. Brand New Original US Edition, Perfect Condition. Printed in English. Excellent Quality, Service and customer satisfaction guaranteed!. Nº de ref. de la librería AIND-45123

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 55,07
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De India a Estados Unidos de America
Destinos, gastos y plazos de envío

10.

Gelman, Andrew; Hill, Jennifer
ISBN 10: 052168689X ISBN 13: 9780521686891
Nuevos Cantidad: 2
Librería
Bookshub
(Karol Bagh, India)
Valoración
[?]

Descripción Estado de conservación: New. New. US edition. Perfect condition. Ship by express service to USA, Canada, Australia, France, Italy, UK, Germany and Netherland. Customer satisfaction our priority. Nº de ref. de la librería ABE-190516-38397

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 55,69
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De India a Estados Unidos de America
Destinos, gastos y plazos de envío

Existen otras copia(s) de este libro

Ver todos los resultados de su búsqueda