| Titre : | An introduction to multilevel modeling techniques : MLM and SEM approaches using Mplus | | Type de document : | texte imprimé | | Auteurs : | Ronald H. Heck ; Scott Loring Thomas | | Mention d'édition : | Third edition. | | Editeur : | New York : Routledge | | Année de publication : | 2015 | | Collection : | Quantitative methodology series | | Importance : | 440 p. | | Format : | 24 cm | | ISBN/ISSN/EAN : | 978-1-84872-552-2 | | Langues : | Anglais (eng) | | Catégories : | [Thesaurus]Sciences et Techniques:Provisoire:Divers
| | Index. décimale : | 300 Sciences sociales | | Résumé : | Univariate and multivariate multilevel models are used to understand how to design studies and analyze data in this comprehensive text distinguished by its variety of applications from the educational, behavioral, and social sciences. Basic and advanced models are developed from the multilevel regression (MLM) and latent variable (SEM) traditions within one unified analytic framework for investigating hierarchical data. The authors provide examples using each modeling approach and also explore situations where alternative approaches may be more appropriate, given the research goals. Numerous examples and exercises allow readers to test their understanding of the techniques presented. |
An introduction to multilevel modeling techniques : MLM and SEM approaches using Mplus [texte imprimé] / Ronald H. Heck ; Scott Loring Thomas . - Third edition. . - New York : Routledge, 2015 . - 440 p. ; 24 cm. - ( Quantitative methodology series) . ISBN : 978-1-84872-552-2 Langues : Anglais ( eng) | Catégories : | [Thesaurus]Sciences et Techniques:Provisoire:Divers
| | Index. décimale : | 300 Sciences sociales | | Résumé : | Univariate and multivariate multilevel models are used to understand how to design studies and analyze data in this comprehensive text distinguished by its variety of applications from the educational, behavioral, and social sciences. Basic and advanced models are developed from the multilevel regression (MLM) and latent variable (SEM) traditions within one unified analytic framework for investigating hierarchical data. The authors provide examples using each modeling approach and also explore situations where alternative approaches may be more appropriate, given the research goals. Numerous examples and exercises allow readers to test their understanding of the techniques presented. |
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An introduction to multilevel modeling techniques / Ronald H. Heck
