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.

Dr Jeremy Foster is Principal Lecturer in the Department of Psychology and Speech Therapy at Manchester Metropolitan University.

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