Multilevel Statistical Models / Edition 3

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In the mid 1980s a number of researchers began to pursue systematic approaches to the statistical modelling and analysis of hierarchically structured data. Aitkin's early work on teaching styles and his subsequent classic work with Longford initiated a series of developments that by the early 1990s had resulted in a core of established techniques and software. The methods are now finding wide applications in education, epidemiology, geography, child development, and sociology. This new edition aims to integrate existing methodological developments, provide examples, and explain new developments, especially in discrete response data, times series models, random cross classifications, errors of measurement, missing data, and nonlinear models.

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Editorial Reviews

Describes the application of systematic approaches to the statistical modeling and analysis of hierarchically structured data, and the core set of techniques and software packages that have been developed since the mid 1980s to apply them in education, epidemiology, geography, child growth, household surveys, and other areas. The second edition integrates new developments into the framework and terminology of the first, which was published in 1987 as Multilevel Models in Educational and Social Research by Edward Arnold, London. Annotation c. Book News, Inc., Portland, OR (
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Product Details

  • ISBN-13: 9780470689363
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 1/1/1900
  • Edition number: 3
  • Pages: 320
  • Product dimensions: 0.63 (w) x 9.21 (h) x 6.14 (d)

Table of Contents

1 Introduction 1
2 The Basic Linear Multilevel Model and its Estimation 15
3 Extensions to the Basic Multilevel Model 47
4 The Multivariate Multilevel Model 69
5 Nonlinear Multilevel Models 77
6 Models for Repeated Measures Data 87
7 Multilevel Models for Discrete Response Data 97
8 Multilevel Cross Classification 113
9 Multilevel Event History Models 125
10 Multilevel Models with Measurement Errors 141
11 Software for Multilevel Modelling; Missing Data and Multilevel Structural Equation Models 153
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