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{ "item_title" : "Handbook of Multilevel Analysis", "item_author" : [" Jan Deleeuw", "H. Goldstein", "Erik Meijer "], "item_description" : "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 biomedical sciences. 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 chapter authors are all leading experts in the field. Given the omnipresence of multilevel data in the social, behavioral, and biomedical sciences, this book is essential for empirical researchers in these fields.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/44/192/512/1441925120_b.jpg", "price_data" : { "retail_price" : "119.99", "online_price" : "119.99", "our_price" : "119.99", "club_price" : "119.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Handbook of Multilevel Analysis|Jan Deleeuw

Handbook of Multilevel Analysis

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Overview

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 biomedical sciences. 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 chapter authors are all leading experts in the field. Given the omnipresence of multilevel data in the social, behavioral, and biomedical sciences, this book is essential for empirical researchers in these fields.

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Details

  • ISBN-13: 9781441925121
  • ISBN-10: 1441925120
  • Publisher: Springer
  • Publish Date: October 2010
  • Dimensions: 9.21 x 6.14 x 1.02 inches
  • Shipping Weight: 1.55 pounds
  • Page Count: 494

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