146
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

Assessing Drug Consumption Behavior With the Heidelberger Drogenbogen (Heidelberg Drug Scales): Reliabilities, Validities, and Cut-Off Criteria

, , &
Pages 1638-1649 | Received 03 Apr 2014, Accepted 07 Mar 2015, Published online: 23 Nov 2015
 

Abstract

Background: The Heidelberger Drogenbogen (HDB) is a German language assessment of substance-specific knowledge and consumption patterns of the illicit psychoactive substances cannabis, MDMA (ecstasy), amphetamines, cocaine, and hallucinogens. The behavior modules for each of these five drugs/drug groups allow for a diagnostic evaluation of the extent of harmful consumption behavior. Each of the five modules represents a single standardized test. Objectives: This paper outlines several statistical parameters, Cronbach's alpha, retest reliabilities, as well as numerous validity and cut-off-criteria of the behavioral modules. Methods: Participants (N = 4,794) were recruited at schools, universities, in subcultural contexts, and in institutions of substance abuse treatment. Results: Internal consistencies range from = .68 to .79 while test–retest reliabilities between .87 and .94 were found. The behavior modules of the HDB can discriminate between populations with and without clinical levels of substance use. Furthermore, this measure has incremental validity and higher diagnostic accuracy over competing measures. Conclusions: The behavior modules of the HDB are reliable and valid measures of substance use and misuse.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 943.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.