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Personality Traits and Drug Consumption : A Story Told by Data / by Elaine Fehrman, Vincent Egan, Alexander N. Gorban, Jeremy Levesley, Evgeny M. Mirkes, Awaz K. Muhammad
版 | 1st ed. 2019. |
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出版者 | (Cham : Springer International Publishing : Imprint: Springer) |
出版年 | 2019 |
本文言語 | 英語 |
大きさ | VI, 168 p. 36 illus., 22 illus. in color : online resource |
著者標目 | *Fehrman, Elaine author Egan, Vincent author Gorban, Alexander N author Levesley, Jeremy author Mirkes, Evgeny M author Muhammad, Awaz K author SpringerLink (Online service) |
件 名 | LCSH:Biometry LCSH:Psychometrics LCSH:Data mining LCSH:Personality LCSH:Difference (Psychology) LCSH:Social sciences -- Statistical methods 全ての件名で検索 FREE:Biostatistics FREE:Psychometrics FREE:Data Mining and Knowledge Discovery FREE:Personality and Differential Psychology FREE:Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy |
一般注記 | 1 Introduction: drug use and personality profiles -- 2 Methods of Data Analysis -- 3 Results of data analysis -- Summary -- Discussion -- Main Tables 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 HTTP:URL=https://doi.org/10.1007/978-3-030-10442-9 |
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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783030104429 |
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電子リソース |
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EB00238525 |
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