You are here

Resources to help you transition to teaching online

Instructors: To support your transition to online learning, please see our resources and tools page whether you are teaching in the UK, or teaching outside of the UK.

Inspection copy update April 2020: Due to the current restrictions in place in response to COVID-19, our inspection copy policy has changed. Please refer to our updated inspection copy policy for full details. If you have recently placed an inspection copy order with us, we will be in touch to advise of any changes.

Understanding and Using Advanced Statistics
Share

Understanding and Using Advanced Statistics
A Practical Guide for Students

First Edition


November 2005 | 192 pages | SAGE Publications Ltd
Understanding and Using Advanced Statistics is a comprehensive, practical guide for postgraduate students advising how and when to use more advanced statistical methods. Perfect for students without a mathematical background, the authors refresh important basics such as descriptive statistics and research design as well as introducing essential upper-level techniques to cater for the advanced student.

Key Features:

- Comprehensive guide informing how to use a range of advanced statistical methods such as MANOVA, path analysis and logistical regression;

- Inter-disciplinary: ideal for students studying upper level statistical methods in any subject across the social sciences;

- Practical guide: case studies, further reading, key terms explained in order to help the non-mathematically orientated student get ahead with their research.

Building on undergraduate statistical grounding, Understanding and Using Advanced Statistics provides the upper-level researcher with the knowledge of what advanced statistics do, how they should be used, and what their output means.

 
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


Preview this book

For instructors

Select a Purchasing Option


Paperback
ISBN: 9781412900140
£29.99

Hardcover
ISBN: 9781412900133
£105.00

SAGE Knowledge is the ultimate social sciences digital library for students, researchers, and faculty. Hosting more than 4,400 titles, it includes an expansive range of SAGE eBook and eReference content, including scholarly monographs, reference works, handbooks, series, professional development titles, and more.

The platform allows researchers to cross-search and seamlessly access a wide breadth of must-have SAGE book and reference content from one source.

SAGE Knowledge brings together high-quality content from across our imprints, including CQ Press and Corwin titles.