Hierarchical Linear Modeling
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Hierarchical Linear Models
| Author | : Stephen W. Raudenbush |
| Publisher | : SAGE |
| Total Pages | : 520 |
| Release | : 2002 |
| Genre | : Social Science |
| ISBN | : 9780761919049 |
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New edition of a text in which Raudenbush (U. of Michigan) and Bryk (sociology, U. of Chicago) provide examples, explanations, and illustrations of the theory and use of hierarchical linear models (HLM). New material in Part I (Logic) includes information on multivariate growth models and other topics.
Hierarchical Linear Models Related Books
Language: en
Pages: 520
Pages: 520
Type: BOOK - Published: 2002 - Publisher: SAGE
New edition of a text in which Raudenbush (U. of Michigan) and Bryk (sociology, U. of Chicago) provide examples, explanations, and illustrations of the theory a
Language: en
Pages: 296
Pages: 296
Type: BOOK - Published: 1992 - Publisher: SAGE Publications, Incorporated
Hierarchical Linear Models launches a new Sage series, Advanced Quantitative Techniques in the Social Sciences. This introductory text explicates the theory and
Language: en
Pages: 393
Pages: 393
Type: BOOK - Published: 2013 - Publisher: SAGE
This book provides a brief, easy-to-read guide to implementing hierarchical linear modeling using three leading software platforms, followed by a set of origina
Language: en
Pages: 654
Pages: 654
Type: BOOK - Published: 2007 - Publisher: Cambridge University Press
This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models.
Language: en
Pages: 242
Pages: 242
Type: BOOK - Published: 2017-07-06 - Publisher: CRC Press
Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects in regression models. I
