product
4054181The SAGE Handbook of Multilevel Modelinghttps://www.gandhi.com.mx/the-sage-handbook-of-multilevel-modeling-9781473971318/phttps://gandhi.vtexassets.com/arquivos/ids/2563626/23790e59-a38c-4efb-8069-00e108d8519d.jpg?v=63838414535907000020452273MXNSAGE PublicationsInStock/Ebooks/<p>In this important new Handbook, the editors have gathered together a range of leading contributors to introduce the theory and practice of multilevel modeling.</p><p>The Handbook establishes the connections in multilevel modeling, bringing together leading experts from around the world to provide a roadmap for applied researchers linking theory and practice, as well as a unique arsenal of state-of-the-art tools. It forges vital connections that cross traditional disciplinary divides and introduces best practice in the field.</p><ul><li>Part I establishes the framework for estimation and inference, including chapters dedicated to notation, model selection, fixed and random effects, and causal inference.</li><li>Part II develops variations and extensions, such as nonlinear, semiparametric and latent class models.</li><li>Part III includes discussion of missing data and robust methods, assessment of fit and software.</li><li>Part IV consists of exemplary modeling and data analyses written by methodologists working in specific disciplines.</li></ul><p>Combining practical pieces with overviews of the field, this Handbook is essential reading for any student or researcher looking to apply multilevel techniques in their own research.</p>...3990063The SAGE Handbook of Multilevel Modeling20452273https://www.gandhi.com.mx/the-sage-handbook-of-multilevel-modeling-9781473971318/phttps://gandhi.vtexassets.com/arquivos/ids/2563626/23790e59-a38c-4efb-8069-00e108d8519d.jpg?v=638384145359070000InStockMXN99999DIEbook20139781473971318_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_<p>In this important new Handbook, the editors have gathered together a range of leading contributors to introduce the theory and practice of multilevel modeling.</p><p>The Handbook establishes the connections in multilevel modeling, bringing together leading experts from around the world to provide a roadmap for applied researchers linking theory and practice, as well as a unique arsenal of state-of-the-art tools. It forges vital connections that cross traditional disciplinary divides and introduces best practice in the field.</p><ul><li>Part I establishes the framework for estimation and inference, including chapters dedicated to notation, model selection, fixed and random effects, and causal inference.</li><li>Part II develops variations and extensions, such as nonlinear, semiparametric and latent class models.</li><li>Part III includes discussion of missing data and robust methods, assessment of fit and software.</li><li>Part IV consists of exemplary modeling and data analyses written by methodologists working in specific disciplines.</li></ul><p>Combining practical pieces with overviews of the field, this Handbook is essential reading for any student or researcher looking to apply multilevel techniques in their own research.</p>(*_*)9781473971318_<p>In this important new Handbook, the editors have gathered together a range of leading contributors to introduce the theory and practice of multilevel modeling.</p><p>The Handbook establishes the connections in multilevel modeling, bringing together leading experts from around the world to provide a roadmap for applied researchers linking theory and practice, as well as a unique arsenal of state-of-the-art tools. It forges vital connections that cross traditional disciplinary divides and introduces best practice in the field.</p><ul><li>Part I establishes the framework for estimation and inference, including chapters dedicated to notation, model selection, fixed and random effects, and causal inference.</li><li>Part II develops variations and extensions, such as nonlinear, semiparametric and latent class models.</li><li>Part III includes discussion of missing data and robust methods, assessment of fit and software.</li><li>Part IV consists of exemplary modeling and data analyses written by methodologists working in specific disciplines.</li></ul><p>Combining practical pieces with overviews of the field, this Handbook is essential reading for any student or researcher looking to apply multilevel techniques in their own research.</p>...9781473971318_SAGE Publicationslibro_electonico_44049638-f4c6-3771-8e34-1c4990c80cb2_9781473971318;9781473971318_9781473971318InglésMéxicohttps://getbook.kobo.com/koboid-prod-public/sageuk-epub-f150f60e-b40c-4cb5-ace3-a05c058ef3ed.epub2013-08-31T00:00:00+00:00SAGE Publications