Posted by **tanas.olesya** at Feb. 16, 2015

English | Apr 1, 2002 | ISBN: 0805832181 | 315 Pages | PDF/DJVU | 79/2 MB

This book is an introduction to multilevel analysis for applied researchers featuring models for hierarchical or nested data. This book presents two types of models: The multilevel regression and multilevel covariance structures models.

Posted by **ChrisRedfield** at Sept. 19, 2014

Published: 1999-12-07 | ISBN: 0761958908, 0761958894 | PDF + DJVU | 272 pages | 8 MB

Posted by **Specialselection** at Feb. 13, 2014

English | 2002-04-03 | ISBN: 080583219X | 320 pages | PDF | 13.0 mb

Posted by **Specialselection** at Feb. 3, 2014

English | 2007-03-20 | ISBN: 159385191X | 355 pages | PDF | 2.7 mb

Posted by **kalyan1232008** at March 26, 2009

Springer | Pages: 494 | 2007-12-28 | ISBN- 0387731830 | PDF | 3.4MB

Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. The simplest example is clustered data, such as a sample of students clustered within schools. Multilevel data are especially prevalent in the social and behavioral sciences and in the bio-medical sciences. The models used for this type of data are linear and nonlinear regression models that account for observed and unobserved heterogeneity at the various levels in the data.

This book presents the state of the art in multilevel analysis, with an emphasis on more advanced topics. These topics are discussed conceptually, analyzed mathematically, and illustrated by empirical examples. The authors of the chapters are the leading experts in the field.

Posted by **Sonora** at Nov. 24, 2006

Lawrence Erlbaum Associates | ISBN: 0805832181 | 2002 | 312 pages | djvu | 2.5 MB

This book is an introduction to multilevel analysis for applied researchers featuring models for hierarchical or nested data. This book presents two types of models: The multilevel regression and multilevel covariance structures models.

Despite the book being an introduction, it includes a discussion of many extensions and special applications. As an introduction, it will be useable in courses in a variety of fields, such as psychology, education, sociology, and business. The various extensions and special applications make it useful to researchers who work in applied or theoretical research, and to methodologists that have to consult with these researchers. The basic models and examples are discussed in non-technical terms; the emphasis is on understanding the methodological and statistical issues involved in using these models.

Posted by **IrGens** at Feb. 9, 2017

English | October 16, 2014 | ISBN: 1442235861 | EPUB | 308 pages | 6.3 MB

Posted by **Nice_smile)** at Feb. 7, 2017

English | 2000 | ISBN: 0761921672 | 264 Pages | PDF | 3.52 MB

Posted by **Underaglassmoon** at June 2, 2016

Springer | Radiology | June 27, 2016 | ISBN-10: 3319316125 | 319 pages | pdf | 14.04 mb

Editors: Ciarmiello, Andrea, Mansi, Luigi (Eds.)

â€‹

Explains the advantages of the hybrid techniques over stand-alone modalities

Examines clinical application of the hybrid modalities in diverse neurologic condition

Posted by **libr** at Dec. 22, 2015

English | ISBN: 0780334132 | 1997 | PDF | 208 pages | 11,6 MB