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Understanding and Using Advanced Statistics

Understanding and Using Advanced Statistics
A Practical Guide for Students

First Edition

December 2005 | 192 pages | SAGE Publications Ltd

The spread of sophisticated computer packages and the machinery on which to run them has meant that procedures which were previously only available to experienced researchers with access to expensive machines and research students can now be carried out in a few seconds by almost every undergraduate. Understanding and Using Advanced Statistics provides the basis for gaining an understanding of what these analytic procedures do, when they should be used, and what the results provided signify.

This comprehensive textbook guides students and researchers through the transition from simple statistics to more complex procedures with accessible language and illustration. Each chapter covers a separate statistical method and provides:

  • An outline of the technique
  • Examples of the types of question it answers
  • An explanation of the information that can be gleaned from the results
  • Examples from published literature of how the technique has been used in a range of disciplines
  • Frequently asked questions
  • A comprehensive chapter summary
  • Suggestions for further reading
  • A glossary of key terms

As statistical techniques become increasingly common and the understanding of these becomes ever more essential, Understanding and Using Advanced Statistics is an essential guide for all students and researchers throughout the social sciences.

Basic Features of Statistical Analysis and the General Linear Model
Multivariate Analysis of Variance
Multiple Regression
Log-Linear Analysis
Logistic Regression
Factor Analysis
Path Analysis
Structural Equation Modelling
Time Series Analysis
Facet Theory and Smallest Space Analysis
Survival or Failure Analysis
Repertory Grids

Very easy to understand, providing a good overview. Good for applied researchers!

Dr Eva Zeglovits
Dept of Methods in the Social Sciences, University of Vienna
February 22, 2012

The book provides some basic, but clear and sufficient explanation of more advanced statistical techniques. I would not recommend it for beginners and people who want to gain a deep understanding of basic, and more advanced statistics, but would recommend it for those who want to use them in practice.

Ms Ewa Maslowska
Amsterdam School of Communication Rsch, University of Amsterdam
July 5, 2011

This text is a provides a good introduction to more advanced statististics and gives a good overview of several increasingly popular and relevant techniques. It would be ideal for final year and post graduate students embarking on advanced analysis. Will recommend for library stock and as a valuable purchase for post grads seeking a career in statistics

Dr Rosie McNiece
Faculty of CISM, Kingston University
May 5, 2010

Sample Materials & Chapters

PDF file of Chapter 2

PDF file of Chapter 1

Jeremy J Foster

Emma Barkus

Research Interests:Cannabis, Ecstasy (MDMA), risk factors for psychosis in the general population, experiences people have after using recreational drugs, effects of psychosis proneness and recreational cannabis use on cognitive function, schizophrenia and other psychoses, early psychosis, use of technology in research, health and well being of adolescents and children, neuropsychology, neuroscience, functional brain imaging. More About Author

Christian Yavorsky

For instructors

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ISBN: 9781412900140

SAGE Research Methods is a research methods tool created to help researchers, faculty and students with their research projects. SAGE Research Methods links over 175,000 pages of SAGE’s renowned book, journal and reference content with truly advanced search and discovery tools. Researchers can explore methods concepts to help them design research projects, understand particular methods or identify a new method, conduct their research, and write up their findings. Since SAGE Research Methods focuses on methodology rather than disciplines, it can be used across the social sciences, health sciences, and more.