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Personality Traits and Drug Consumption

A Story Told by Data

  • Elaine Fehrman
  • Vincent Egan
  • Alexander N. Gorban
  • Jeremy Levesley
  • Evgeny M. Mirkes
  • Awaz K. Muhammad

Table of contents

  1. Front Matter
    Pages i-vi
  2. Elaine Fehrman, Vincent Egan, Alexander N. Gorban, Jeremy Levesley, Evgeny M. Mirkes, Awaz K. Muhammad
    Pages 1-4
  3. Elaine Fehrman, Vincent Egan, Alexander N. Gorban, Jeremy Levesley, Evgeny M. Mirkes, Awaz K. Muhammad
    Pages 5-33
  4. Elaine Fehrman, Vincent Egan, Alexander N. Gorban, Jeremy Levesley, Evgeny M. Mirkes, Awaz K. Muhammad
    Pages 35-59
  5. Elaine Fehrman, Vincent Egan, Alexander N. Gorban, Jeremy Levesley, Evgeny M. Mirkes, Awaz K. Muhammad
    Pages 61-120
  6. Elaine Fehrman, Vincent Egan, Alexander N. Gorban, Jeremy Levesley, Evgeny M. Mirkes, Awaz K. Muhammad
    Pages 121-127
  7. Elaine Fehrman, Vincent Egan, Alexander N. Gorban, Jeremy Levesley, Evgeny M. Mirkes, Awaz K. Muhammad
    Pages 129-130
  8. Back Matter
    Pages 131-168

About this book

Introduction

This book discusses the psychological traits associated with drug consumption through the statistical analysis of a new database with information on 1885 respondents and use of 18 drugs. After reviewing published works on the psychological profiles of drug users and describing the data mining and machine learning methods used, it demonstrates that the personality traits (five factor model, impulsivity, and sensation seeking) together with simple demographic data make it possible to predict the risk of consumption of individual drugs with a sensitivity and specificity above 70% for most drugs. It also analyzes the correlations of use of different substances and describes the groups of drugs with correlated use, identifying significant differences in personality profiles for users of different drugs.

The book is intended for advanced undergraduates and first-year PhD students, as well as researchers and practitioners. Although no previous knowledge of machine learning, advanced data mining concepts or modern psychology of personality is assumed, familiarity with basic statistics and some experience in the use of probabilities would be helpful. For a more detailed introduction to statistical methods, the book provides recommendations for undergraduate textbooks.

Keywords

62-07, 62P15, 62H30, 62H25 classification machine learning cross-validation psychological profile personality models drug consumption decision tree visualization polychoric correlation Principal Component Analysis categorical PCA sparse PCA linear discriminant analysis

Authors and affiliations

  • Elaine Fehrman
    • 1
  • Vincent Egan
    • 2
  • Alexander N. Gorban
    • 3
  • Jeremy Levesley
    • 4
  • Evgeny M. Mirkes
    • 5
  • Awaz K. Muhammad
    • 6
  1. 1.Men’s Personality Disorder and National Women’s DirectorateRampton HospitalRetfordUK
  2. 2.Department of Psychiatry and Applied PsychologyUniversity of NottinghamNottinghamUK
  3. 3.Department of MathematicsUniversity of LeicesterLeicesterUK
  4. 4.Department of MathematicsUniversity of LeicesterLeicesterUK
  5. 5.Department of MathematicsUniversity of LeicesterLeicesterUK
  6. 6.Department of MathematicsUniversity of LeicesterLeicesterUK

Bibliographic information