國立高雄大學圖資館 |

Language: English

Back

Personality traits and drug consumpt...

Fehrman, Elaine.

Personality traits and drug consumptiona story told by data /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Personality traits and drug consumptionby Elaine Fehrman ... [et al.].
Reminder of title:	a story told by data /
other author:	Fehrman, Elaine.
Published:	Cham :Springer International Publishing :2019.
Description:	vi, 168 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Biostatistics.
Online resource:	https://doi.org/10.1007/978-3-030-10442-9
ISBN:	9783030104429$q(electronic bk.)

Personality traits and drug consumptiona story told by data /
Personality traits and drug consumptiona story told by data /[electronic resource] :by Elaine Fehrman ... [et al.]. - Cham :Springer International Publishing :2019. - vi, 168 p. :ill., digital ;24 cm.

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.

ISBN: 9783030104429$q(electronic bk.)

Standard No.: nam a2200337 a 4500Subjects--Topical Terms:

339693
Biostatistics.

LC Class. No.: RC564

Dewey Class. No.: 362.29

Personality traits and drug consumptiona story told by data /
LDR:02470nmm a2200349 a 4500 001 556881
003 DE-He213
005 20190426185513.0
006 m d
007 cr nn 008maaau
008 191127s2019 gw s 0 eng d
020 $a 9783030104429$q(electronic bk.)
020 $a 9783030104412$q(paper)
024 3 4 $a nam a2200337 a 4500
024 7 $a 10.1007/978-3-030-10442-9 $2 doi
035 $a 978-3-030-10442-9
040 $a GP $c GP
041 0 $a eng
050 4 $a RC564
072 7 $a PBT $2 bicssc
072 7 $a MED090000 $2 bisacsh
072 7 $a PBT $2 thema
072 7 $a MBNS $2 thema
082 0 4 $a 362.29 $2 23
090 $a RC564 $b .P467 2019
245 0 0 $a Personality traits and drug consumption $h [electronic resource] : $b a story told by data / $c by Elaine Fehrman ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a vi, 168 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1 Introduction: drug use and personality profiles -- 2 Methods of Data Analysis -- 3 Results of data analysis -- Summary -- Discussion -- Main Tables.
520 $a 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.
650 2 4 $a Biostatistics. $3 339693
650 2 4 $a Personality and Social Psychology. $3 338284
650 2 4 $a Statistics for Social Sciences, Humanities, Law. $3 825904
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 0 $a Drug abuse $x Psychological aspects. $3 502586
650 0 $a Personality. $3 250041
650 1 4 $a Statistics for Life Sciences, Medicine, Health Sciences. $3 274067
650 2 4 $a Psychometrics. $3 182715
700 1 $a Fehrman, Elaine. $3 839234
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-3-030-10442-9
950 $a Mathematics and Statistics (Springer-11649)