Literature DB >> 27723274

The Cannabis Abuse Screening Test (CAST) revisited: examining measurement invariance by age.

Sharon R Sznitman1.   

Abstract

Defensible use of self-reported cannabis use problem scales in age comparative frameworks requires that measured constructs have equal psychometric properties across age groups. This study compares the psychometric properties of the Cannabis Abuse Screening Test (CAST) across three age groups (18-24, 25-29, 30-40). Data was collected online from an accessible sample of 1316 cannabis users. Factor analysis compared the optimal factor structure and dimensionality diffraction. Multi-group Model Invariance tests examined measurement invariance across the three age groups. CAST was two-dimensional in all age groups with one factor measuring cannabis use problems and the other measuring deviation from a common standard of use. The two-dimensional structure was more pronounced in older age groups. Weak factorial invariance was supported, suggesting that the meaning of the CAST factors is equivalent across age groups. Partial, but not full, strong factorial invariance was supported, indicating that only the cannabis use problem factor can be defensibly used to measure age group mean differences. Results confirm a well-defined two-dimensional CAST structure and factorial invariance across age groups. However, caution is needed when using the two items measuring deviation from a common standard in an age-comparative framework. Replication studies based on a representative sample are needed.
Copyright © 2016 John Wiley & Sons, Ltd.

Keywords:  CAST; age comparison; cannabis; measurement invariance; psychometrics; scale evaluation

Mesh:

Year:  2016        PMID: 27723274      PMCID: PMC6877237          DOI: 10.1002/mpr.1529

Source DB:  PubMed          Journal:  Int J Methods Psychiatr Res        ISSN: 1049-8931            Impact factor:   4.035


  26 in total

1.  Are the adverse consequences of cannabis use age-dependent?

Authors:  Nadia Solowij; Brin F S Grenyer
Journal:  Addiction       Date:  2002-09       Impact factor: 6.526

2.  The validity of DSM-IV cannabis abuse and dependence criteria in adolescents and the value of additional cannabis use indicators.

Authors:  Daniela Piontek; Ludwig Kraus; Stéphane Legleye; Gerhard Bühringer
Journal:  Addiction       Date:  2011-03-07       Impact factor: 6.526

3.  Subcultural evolution and illicit drug use.

Authors:  Andrew Golub; Bruce D Johnson; Eloise Dunlap
Journal:  Addict Res Theory       Date:  2005-05

4.  Properties of the Cannabis Abuse Screening Test (CAST) in the general population.

Authors:  Stéphane Legleye; Romain Guignard; Jean-Baptiste Richard; Kraus Ludwig; Alexander Pabst; François Beck
Journal:  Int J Methods Psychiatr Res       Date:  2015-06       Impact factor: 4.035

Review 5.  Problems with the identification of 'problematic' cannabis use: examining the issues of frequency, quantity, and drug use environment.

Authors:  Mark Asbridge; Cameron Duff; David C Marsh; Patricia G Erickson
Journal:  Eur Addict Res       Date:  2014-08-28       Impact factor: 3.015

6.  Reliability and validity of young adults' anonymous online reports of marijuana use and thoughts about use.

Authors:  Danielle E Ramo; Howard Liu; Judith J Prochaska
Journal:  Psychol Addict Behav       Date:  2011-11-14

7.  The social norms of birth cohorts and adolescent marijuana use in the United States, 1976-2007.

Authors:  Katherine M Keyes; John E Schulenberg; Patrick M O'Malley; Lloyd D Johnston; Jerald G Bachman; Guohua Li; Deborah Hasin
Journal:  Addiction       Date:  2011-07-27       Impact factor: 6.526

8.  Cannabis use and dependence among Australian adults: results from the National Survey of Mental Health and Wellbeing.

Authors:  W Swift; W Hall; M Teesson
Journal:  Addiction       Date:  2001-05       Impact factor: 6.526

9.  The natural history of drug use from adolescence to the mid-thirties in a general population sample.

Authors:  K Chen; D B Kandel
Journal:  Am J Public Health       Date:  1995-01       Impact factor: 9.308

10.  Screening of cannabis-related problems among youth: the CPQ-A-S and CAST questionnaires.

Authors:  Sergio Fernandez-Artamendi; José Ramón Fernández-Hermida; José Muñiz-Fernández; Roberto Secades-Villa; Gloria García-Fernández
Journal:  Subst Abuse Treat Prev Policy       Date:  2012-04-02
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  3 in total

1.  The Cannabis Abuse Screening Test and the DSM-5 in the general population: Optimal thresholds and underlying common structure using multiple factor analysis.

Authors:  Stéphane Legleye
Journal:  Int J Methods Psychiatr Res       Date:  2017-11-10       Impact factor: 4.035

2.  The mediating effect of anger rumination, coping and conformity motives on the association between hostility and problematic cannabis use.

Authors:  Zsolt Horváth; Gyöngyi Kökönyei; Péter Sárosi; Mónika Koós; Zsolt Demetrovics; Róbert Urbán
Journal:  Addict Behav Rep       Date:  2022-07-09

3.  Association patterns of cannabis abuse and dependence with risk of problematic non-substance-related dysregulated and addictive behaviors.

Authors:  José C Perales; Antonio Maldonado; Eva M López-Quirantes; Francisca López-Torrecillas
Journal:  PLoS One       Date:  2021-08-10       Impact factor: 3.240

  3 in total

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