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REVIEW OF JOOP J. HOX MULTILEVEL ANALYSIS – TECHNIQUES AND APPLICATIONS, Second Edition, Routledge (2010)

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  • Roxana-Otilia-Sonia HRITCU

    () (“Alexandru Ioan Cuza” University, Iasi, Romania)

Abstract

Multilevel Analysis - Techniques and Applications is intended as an introduction to multilevel analysis for students and applied researchers, a book that can be used either in psychology, education, sociology, or business courses. Hox takes the reader step by step into the area of multilevel data analysis, starting out with basic information and getting to more advanced and complex issues along the way. Most of the chapters on multilevel regression analysis should be readable for social scientists who have a good general knowledge of analysis of variance and classical multiple regression analysis. Some of these chapters contain material that is more difficult but this can be skipped at first reading (e.g. longitudinal models). The Multilevel Analysis is structured in sixteen main chapters and treats two classes of multilevel models: multilevel regression models, and multilevel models for covariance structures. In addition to the basic information, the reader becomes acquainted with some advanced modelling techniques that might be used, such as bootstrapping and Bayesian estimation methods. The applicability of the multilevel information is one of the strengths of this book: there are numerous examples and applications on various multilevel topics. The simpler examples are meant to help the novice. The basic models and examples are discussed in non-technical terms. The special applications, more complex examples combining more than one problem, can be useful to both researchers and methodologists.

Suggested Citation

  • Roxana-Otilia-Sonia HRITCU, 2014. "REVIEW OF JOOP J. HOX MULTILEVEL ANALYSIS – TECHNIQUES AND APPLICATIONS, Second Edition, Routledge (2010)," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 13, pages 191-195, June.
  • Handle: RePEc:aic:revebs:y:2014:i:13:hritcuo
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    Keywords

    multilevel analysis; multilevel models; estimation; hypothesis testing;

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables

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