Handbook of Advanced Multilevel Analysis

Nonfiction, Reference & Language, Education & Teaching, Teaching, Statistics, Health & Well Being, Psychology, Social & Cultural Studies, Social Science
Cover of the book Handbook of Advanced Multilevel Analysis by , Taylor and Francis
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781136951268
Publisher: Taylor and Francis Publication: January 11, 2011
Imprint: Routledge Language: English
Author:
ISBN: 9781136951268
Publisher: Taylor and Francis
Publication: January 11, 2011
Imprint: Routledge
Language: English

This new handbook is the definitive resource on advanced topics related to multilevel analysis. The editors assembled the top minds in the field to address the latest applications of multilevel modeling as well as the specific difficulties and methodological problems that are becoming more common as more complicated models are developed. Each chapter features examples that use actual datasets. These datasets, as well as the code to run the models, are available on the book’s website http://www.hlm-online.com . Each chapter includes an introduction that sets the stage for the material to come and a conclusion.

Divided into five sections, the first provides a broad introduction to the field that serves as a framework for understanding the latter chapters. Part 2 focuses on multilevel latent variable modeling including item response theory and mixture modeling. Section 3 addresses models used for longitudinal data including growth curve and structural equation modeling. Special estimation problems are examined in section 4 including the difficulties involved in estimating survival analysis, Bayesian estimation, bootstrapping, multiple imputation, and complicated models, including generalized linear models, optimal design in multilevel models, and more. The book’s concluding section focuses on statistical design issues encountered when doing multilevel modeling including nested designs, analyzing cross-classified models, and dyadic data analysis.

Intended for methodologists, statisticians, and researchers in a variety of fields including psychology, education, and the social and health sciences, this handbook also serves as an excellent text for graduate and PhD level courses in multilevel modeling. A basic knowledge of multilevel modeling is assumed.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This new handbook is the definitive resource on advanced topics related to multilevel analysis. The editors assembled the top minds in the field to address the latest applications of multilevel modeling as well as the specific difficulties and methodological problems that are becoming more common as more complicated models are developed. Each chapter features examples that use actual datasets. These datasets, as well as the code to run the models, are available on the book’s website http://www.hlm-online.com . Each chapter includes an introduction that sets the stage for the material to come and a conclusion.

Divided into five sections, the first provides a broad introduction to the field that serves as a framework for understanding the latter chapters. Part 2 focuses on multilevel latent variable modeling including item response theory and mixture modeling. Section 3 addresses models used for longitudinal data including growth curve and structural equation modeling. Special estimation problems are examined in section 4 including the difficulties involved in estimating survival analysis, Bayesian estimation, bootstrapping, multiple imputation, and complicated models, including generalized linear models, optimal design in multilevel models, and more. The book’s concluding section focuses on statistical design issues encountered when doing multilevel modeling including nested designs, analyzing cross-classified models, and dyadic data analysis.

Intended for methodologists, statisticians, and researchers in a variety of fields including psychology, education, and the social and health sciences, this handbook also serves as an excellent text for graduate and PhD level courses in multilevel modeling. A basic knowledge of multilevel modeling is assumed.

More books from Taylor and Francis

Cover of the book Debating Biology by
Cover of the book Analyzing Social Narratives by
Cover of the book Ways of Residing in Transformation by
Cover of the book The Global History of the Balfour Declaration by
Cover of the book The Political Philosophy of Confucianism by
Cover of the book Darwinism and the Study of Society by
Cover of the book Rethinking Democracy and the European Union by
Cover of the book Patterns of Business Organization (RLE: Organizations) by
Cover of the book Opposing Censorship in Public Schools by
Cover of the book Political Corruption in the Caribbean Basin by
Cover of the book Gestalt Therapy by
Cover of the book Managing Professional Development in Education by
Cover of the book Stealth Altruism by
Cover of the book Tertullian by
Cover of the book The Third Reign of Louis XIV, c.1682-1715 by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy