Understanding and Using Advanced Statistics

A Practical Guide for Students
First Edition
Jeremy J Foster - Manchester Metropolitan University, UK
Emma Barkus - Manchester Metropolitan University, UK
Christian Yavorsky - Manchester Metropolitan University, UK
Understanding and Using Advanced Statistics
December 2005 | 192 pages | Sage UK
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Description

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.

Contents

Basic Features of Statistical Analysis and the General Linear Model

Basic Features of Statistical Analysis and the General Linear Model

Multivariate Analysis of Variance

Multivariate Analysis of Variance

Multiple Regression

Multiple Regression

Log-Linear Analysis

Log-Linear Analysis

Logistic Regression

Logistic Regression

Factor Analysis

Factor Analysis

Path Analysis

Path Analysis

Structural Equation Modelling

Structural Equation Modelling

Time Series Analysis

Time Series Analysis

Facet Theory and Smallest Space Analysis

Facet Theory and Smallest Space Analysis

Survival or Failure Analysis

Survival or Failure Analysis

Repertory Grids

Repertory Grids

Description

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.

Contents

Basic Features of Statistical Analysis and the General Linear Model

Basic Features of Statistical Analysis and the General Linear Model

Multivariate Analysis of Variance

Multivariate Analysis of Variance

Multiple Regression

Multiple Regression

Log-Linear Analysis

Log-Linear Analysis

Logistic Regression

Logistic Regression

Factor Analysis

Factor Analysis

Path Analysis

Path Analysis

Structural Equation Modelling

Structural Equation Modelling

Time Series Analysis

Time Series Analysis

Facet Theory and Smallest Space Analysis

Facet Theory and Smallest Space Analysis

Survival or Failure Analysis

Survival or Failure Analysis

Repertory Grids

Repertory Grids

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Understanding and Using Advanced Statistics

A Practical Guide for Students


December 2005 | 192 pages | Sage UK

Format Published Date ISBN Price

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.


Table Of Contents:

  • 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

Recent Product Reviews:

Very useful textbook for Social Science post-graduate students!
Dr Marina Shapira, school of applied, Stirling University
Easy to read introduction to more complex statistical methods.
Dr Helen Scott, Psyc, Staffordshire University
I found this book very easy and pleasant to read, with clear explanations of the different methods throughout and good use of illustrative examples and supportive exercises. I will certainly be recommending this to our students to help them get to grips with advanced statistics!
Dr Laura Hammond, School of Human & Health Sciences, Huddersfield University
Nice slim volume useful for graduate students in clinical psychology
Dr Sunjeev Kamboj, Research Department of Clinical, Eductional and Health Psychology, University College London
It provides a good overview of different advanced statistical methods and is very palatable, even to those who are not very mathematically inclined. I would have liked to see more mathematics.
Dr Michelle To, Department of Psychology, Hull University

Recommendations