Understanding and Using Advanced Statistics: A Practical Guide for Students

Understanding and Using Advanced Statistics: A Practical Guide for Students

By: Emma Barkus (author), Jeremy J. Foster (author), Christian Yavorsky (author)Paperback

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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.

About Author

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


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

Product Details

  • ISBN13: 9781412900140
  • Format: Paperback
  • Number Of Pages: 192
  • ID: 9781412900140
  • weight: 330
  • ISBN10: 141290014X

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