Skip to main content Accessibility help
×
  1. Home
  2. Books
  3. Applied Multilevel Analysis
  • Cited by 537
      • Show more authors
      • You may already have access via personal or institutional login
    • Select format
    • Publisher:
      Cambridge University Press
      Publication date:
      March 2010
      March 2006
      ISBN:
      9780511610806
      DOI:
      https://doi.org/10.1017/CBO9780511610806
      Dimensions:
      Weight & Pages:
      Dimensions:
      Weight & Pages:
      • Subjects:
      Statistics for Life Sciences, Medicine and Health, Epidemiology Public Health and Medical Statistics, Demography, Social Statistics, Medicine, General Statistics and Probability, Sociology
      Series:
      Practical Guides to Biostatistics and Epidemiology
    You may already have access via personal or institutional login
    • Selected: Digital
    Add to cart View cart Buy from Cambridge.org
    Subjects:
    Statistics for Life Sciences, Medicine and Health, Epidemiology Public Health and Medical Statistics, Demography, Social Statistics, Medicine, General Statistics and Probability, Sociology
    Series:
    Practical Guides to Biostatistics and Epidemiology
    Information

    Book description

    This is a practical introduction to multilevel analysis suitable for all those doing research. Most books on multilevel analysis are written by statisticians, and they focus on the mathematical background. These books are difficult for non-mathematical researchers. In contrast, this volume provides an accessible account on the application of multilevel analysis in research. It addresses the practical issues that confront those undertaking research and wanting to find the correct answers to research questions. This book is written for non-mathematical researchers and it explains when and how to use multilevel analysis. Many worked examples, with computer output, are given to illustrate and explain this subject. Datasets of the examples are available on the internet, so the reader can reanalyse the data. This approach will help to bridge the conceptual and communication gap that exists between those undertaking research and statisticians.

    Reviews

    '… a concise practical guide for non-mathematical researchers beginning to use this technique in their work.'

    Pradeep Malakar - Institute Food Research

    Refine List

    Actions for selected content:

    Select all | Deselect all
    • View selected items
    • Export citations
    • Download PDF (zip)
    • Save to Kindle
    • Save to Dropbox
    • Save to Google Drive

    Save Search

    You can save your searches here and later view and run them again in "My saved searches".

    Please provide a title, maximum of 40 characters.
    Cancel
    ×

    Contents

    Contents

    Metrics

    Altmetric attention score

    Full text views

    Total number of HTML views: 0
    Total number of PDF views: 0 *
    Loading metrics...

    Book summary page views

    Total views: 0 *
    Loading metrics...

    * Views captured on Cambridge Core between #date#. This data will be updated every 24 hours.

    Usage data cannot currently be displayed.

    Accessibility standard: Unknown

    Why this information is here

    This section outlines the accessibility features of this content - including support for screen readers, full keyboard navigation and high-contrast display options. This may not be relevant for you.

    Accessibility Information

    Accessibility compliance for the PDF of this book is currently unknown and may be updated in the future.