Development and Validation of the Marijuana Motives Measure Short Form

Authors

  • Laura Mezquita Universitat Jaume I. CIBERSAM.
  • Lucía Ruiz-Valero Universitat Jaume I.
  • Naiara Martínez-Gómez Universitat Jaume I.
  • Manuel I. Ibáñez Universitat Jaume I. CIBERSAM.
  • Generós Ortet Universitat Jaume I. CIBERSAM.

DOI:

https://doi.org/10.20882/adicciones.979

Keywords:

marijuana motives, cannabis, MMM SF, psychometric properties, marijuana outcomes

Abstract

Marijuana motives are a proximal variable to marijuana use. This research aimed to adapt and validate the short form of the Marijuana Motives Measure (MMM; Simons, Correia, Carey, y Borsari, 1998), the MMM SF, in Spanish.  The sample comprised 232 participants (mean age = 25.11 (7.58), 50.43% males) who had tried marijuana at least once in their lifetime. Item and Rasch analyses were performed to choose the final pool of 15 items. Confirmatory Factor Analysis (CFA) showed an adequate 5-factor structure (S-BX2(80) = 121.30, p = .002; NNFI = .944; CFI = .958; IFI = .959; MFI = .915; RMSEA = .047(0.029, 0.063); AIC = -38.70), and the multi-group CFA between males and females showed acceptable fit indices (S-BX2(160) = 230.01, p = .000; NNFI = .900; CFI = .924; IFI = .927; MFI = .860; RMSEA = .062(.043, .078); AIC = -89.99). The questionnaire indicated metric (S-BX2diff (15) = 13.61, p = .556)), scalar (S-BX2diff (15) = 23.15, p = .081)) and error measurement invariance (S-BX2diff (15) = 8.65, p = .895)) between gender groups. The internal consistencies and ordinal omega of the scales were between .79 and .90. In the regression analysis, enhancement, coping and low conformity motives predicted frequency and quantity of marijuana smoked. The best predictor of frequency and quantity consumed during the heaviest smoking period was enhancement, while coping and, to a lesser extent, low conformity, were the only predictors of cannabis-related problems when marijuana frequency and quantity were controlled for.  The MMM SF shows adequate psychometric properties and is a suitable instrument to assess marijuana motives, especially during time-limited sessions.

Author Biographies

Laura Mezquita, Universitat Jaume I. CIBERSAM.

Departamento de Psicología Básica, Clínica y Psicobiología, Universitat Jaume I, Castellón, España. Centro de Investigación Biomédica en Red, Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, España.

Lucía Ruiz-Valero, Universitat Jaume I.

Departamento de Psicología Básica, Clínica y Psicobiología, Universitat Jaume I, Castellón, España.

Naiara Martínez-Gómez, Universitat Jaume I.

Departamento de Psicología Básica, Clínica y Psicobiología, Universitat Jaume I, Castellón, España.

Manuel I. Ibáñez, Universitat Jaume I. CIBERSAM.

Departamento de Psicología Básica, Clínica y Psicobiología, Universitat Jaume I, Castellón, España. Centro de Investigación Biomédica en Red, Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, España.

Generós Ortet, Universitat Jaume I. CIBERSAM.

Departamento de Psicología Básica, Clínica y Psicobiología, Universitat Jaume I, Castellón, España. Centro de Investigación Biomédica en Red, Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, España.

References

Anderson, K. G., Sitney, M. y White, H. R. (2015). Marijuana motivations across adolescence: Impacts on use and consequences. Substance Use & Misuse, 50, 292–301. doi:10.3109/10826084.2014.977396.

Benschop, A., Liebregts, N., van der Pol, P., Schaap, R., Buisman, R., van Laar, M., … Korf, D. J. (2015). Reliability and validity of the Marijuana Motives Measure among young adult frequent cannabis users and associations with cannabis dependence. Addictive Behaviors, 40, 91–95. doi:10.1016/j.addbeh.2014.09.003.

Bentler, P. M. (2006). EQS 6 structural equations program manual. Encino, CA: Multivariate Software.

Bentler, P. M. y Wu, E. J. C. (2002). EQS 6 for Windows User’s Guide [Computer software]. Software, Inc.

Buckner, J. D. (2013). College cannabis use: The unique role of social norms, motives, and expectancies. Journal of Studies on Alcohol and Drugs, 74, 720–726. doi:10.15288/jsad.2013.74.720.

Buckner, J. D. y Zvolensky, M. J. (2014). Cannabis and related impairment: The unique roles of cannabis use to cope with social anxiety and social avoidance. The American Journal on Addictions, 23, 598–603. doi:10.1111/j.1521-0391.2014.12150.x.

Buckner, J. D., Zvolensky, M. J. y Schmidt, N. B. (2012). Cannabis-related impairment and social anxiety: The roles of gender and cannabis use motives. Addictive Behaviors, 37, 1294–1297. doi:10.1016/j.addbeh.2012.06.013.

Byrne, B. M. (2006). Structural equation modeling with EQS: Basic concepts, applications, and programming, 2nd ed. Mahwah, NJ: Erlbaum.

Casajuana, C., López-Pelayo, H., Balcells, M. M., Miquel, L., Teixidó, L.,Colom, J. y Gual, A. (2018). Working on a Standard Joint Unit: A pilot test.  Adicciones, 29, 227-232. doi:10.20882/adicciones.721.

Chabrol, H., Ducongé, E., Casas, C., Roura, C. y Carey, K. B. (2005). Relations between cannabis use and dependence, motives for cannabis use and anxious, depressive and borderline symptomatology. Addictive Behaviors, 30, 829–840. doi:10.1016/j.addbeh.2004.08.027.

Cooper, M. L. (1994). Motivations for alcohol use among adolescents: Development and validation of a four-factor model. Psychological Assessment, 6, 117–128. doi:10.1037/1040-3590.6.2.117.

Copeland, J., Gilmour, S., Gates, P. y Swift, W. (2005). The Cannabis Problems Questionnaire: Factor structure, reliability, and validity. Drug and Alcohol Dependence, 80, 313–319. doi:10.1016/j.drugalcdep.2005.04.009.

Dunn, T. J., Baguley, T. y Brunsden, V. (2014). From alpha to omega: A practical solution to the pervasive problem of internal consistency estimation. British Journal of Psychology, 105, 399–412. doi:10.1111/bjop.12046

Foster, D. W., Allan, N. P., Zvolensky, M. J. y Schmidt, N. B. (2014). The influence of cannabis motives on alcohol, cannabis, and tobacco use among treatment-seeking cigarette smokers. Drug and Alcohol Dependence, 146, 81–88. doi:10.1016/j.drugalcdep.2014.11.013.

Grant, V. V, Stewart, S. H., O’Connor, R. M., Blackwell, E. y Conrod, P. J. (2007). Psychometric evaluation of the five-factor Modified Drinking Motives Questionnaire--Revised in undergraduates. Addictive Behaviors, 32, 2611–2632. 

Hauck-Filho, N., Teixeira, M. A. P. y Cooper, M. L. (2012). Confirmatory factor analysis of the Brazilian version of the Drinking Motives Questionnaire-Revised (DMQ-R). Addictive Behaviors, 37, 524–527. doi:10.1016/j.addbeh.2011.11.023.

IBM Corp. (2013). IBM SPSS Statistics for Windows, Version 22.0 [Computer software]. Armonk, NY: IBM Corp.

Kuntsche, E. y Kuntsche, S. (2009). Development and validation of the Drinking Motive Questionnaire Revised Short Form (DMQ-R SF). Journal of Clinical Child and Adolescent Psychology, 38, 899–908. doi:10.1080/15374410903258967.

Kuntsche, E., Wiers, R. W., Janssen, T. y Gmel, G. (2010). Same wording, distinct concepts? Testing differences between expectancies and motives in a mediation model of alcohol outcomes. Experimental and Clinical Psychopharmacology, 18, 436–444. doi:10.1037/a0019724.

Liebregts, N., van der Pol, P., de Graaf, R., Korf, D. J., van den Brink, W. y van Laar, M. (2013). Predicting the transition from frequent cannabis use to cannabis dependence: a three-year prospective study. Drug and Alcohol Dependence, 133, 352–359. doi:10.1016/j.drugalcdep.2013.06.009.

Lloret Irles, D., Morell-Gomis, R., Laguía, A. y Moriano, J.A. (2018). Design and validation of a Cannabis Use Intention Questionnaire (CUIQ) for adolescents. Adicciones, 30, 54-65. doi:10.20882/adicciones.865.

McCabe, S. E. (2002). Gender differences in collegiate risk factors for heavy episodic drinking. Journal of Studies on Alcohol, 63, 49–56.

Meyer, J. P. (2014). Applied Measurement with JMetrik. New York: Taylor & Francis.

Mezquita, L., Camacho, L., Suso, C., Ortet, G. y Ibáñez, M.I. (2018). Development and validation of the alcohol Expectancy Questionnaire Short Form (EQ-SF). Adicciones, 30, 271-281. doi:10.20882/adicciones.920. 

Mezquita, L., Ibáñez, M. I., Moya, J., Villa, H., Arias, B., Fañanás, L. y Ortet, G. (2018). Psychometric Properties of Drinking Motives Questionnaire-Revised (DMQ-R) in Spanish Adolescents. European Journal of Psychological Assessment, 34, 145-153. doi:10.1027/1015-5759/a000319. 

Mezquita, L., Ibáñez, M. I., Moya, J., Villa, H. y Ortet, G. (2014). A longitudinal examination of different etiological pathways to alcohol use and misuse. Alcoholism, Clinical & Experimental Research, 38, 1770–1779. doi:10.1111/acer.12419.

Mezquita, L., Stewart, S. H., Kuntsche, E. y Grant, V. V. (2016). Cross-cultural examination of the five-factor model of drinking motives in Spanish and Canadian undergraduates. Adicciones, 28, 215–220. doi:10.20882/adicciones.822.

Milfont, T. L. y Fischer, R. (2010). Testing measurement invariance across groups: Applications in cross-cultural research. International Journal of Psychological Research, 3, 111–121. doi:10.21500/20112084.857.

Moitra, E., Christopher, P. P., Anderson, B. J. y Stein, M. D. (2015). Coping-motivated marijuana use correlates with DSM-5 cannabis use disorder and psychological distress among emerging adults. Psychology of Addictive Behaviors, 29, 627–632. doi:10.1037/adb0000083.

Muñiz, J., Elosua, P. y Hambleton, R. K. (2013). Directrices para la traducción y adaptación de los tests: segunda edición. Psicothema, 25, 151–157. doi:10.7334/psicothema2013.24

OMS (en prensa). The health and social effects of nonmedical cannabis use. Recuperado de goo.gl/ozDftX.

R Core Team (2013). R: A language and environment for statistical computing [Computer Software]. R Foundation for Statistical Computing, Vienna, Austria.

Satorra, A. y Bentler, P. M. (2001). A scaled difference chi-square test statistic for moment structure analysis. Psychometrika, 66, 507–514.

Simons, J. S., C., J. C., Simons, R. M. y Spelman, P. J. (2016). Marijuana consequences in a motivational context: Goal congruence reduces likelihood of taking steps toward change. Addictive Behaviors, 52, 83–90. doi:10.1016/j.addbeh.2015.08.010.

Simons, J. S., Correia, C. J., Carey, K. B. y Borsari, B. E. (1998). Validating a five-factor marijuana motives measure: Relations with use, problems, and alcohol motives. Journal of Counseling Psychology, 45, 265–273. doi:10.1037/0022-0167.45.3.265.

Simons, J. S., Gaher, R. M., Correia, C. J., Hansen, C. L. y Christopher, M. S. (2005). An affective-motivational model of marijuana and alcohol problems among college students. Psychology of Addictive Behaviors, 19, 326–334. doi:10.1037/0893-164X.19.3.326.

Studer, J., Baggio, S., Mohler-Kuo, M., Dermota, P., Daeppen, J.-B. y Gmel, G. (2014). Differential association of drinking motives with alcohol use on weekdays and weekends. Psychology of Addictive Behaviors, 28, 651–658. doi:10.1037/a0035668.

Tu, Y.-K., Gunnell, D. y Gilthorpe, M. S. (2008). Simpson’s Paradox, Lord’s Paradox, and Suppression Effects are the same phenomenon--the reversal paradox. Emerging Themes in Epidemiology, 5, 2. doi:10.1186/1742-7622-5-2. 

UNODC (2015). World drug report 2015. Vienna: Oficina de las Naciones Unidas contra la Droga y el Delito.

Zvolensky, M. J., Vujanovic, A. a, Bernstein, A., Bonn-Miller, M. O., Marshall, E. C. y Leyro, T. M. (2007). Marijuana use motives: A confirmatory test and evaluation among young adult marijuana users. Addictive Behaviors, 32, 3122–3130. doi:10.1016/j.addbeh.2007.06.010.

Published

2018-01-15

Issue

Section

Originals