Internal Structure and Invariance of a Brief Version of the Marijuana Motives Measure (MMM-P15) in a Peruvian Population of Marijuana users

Authors

DOI: https://doi.org/10.6018/analesps.509651
Keywords: Confirmatory factor analysis, Marijuana, Motives, Internal consistency, Peruvian consumers

Abstract

Background: The identification of the reasons for marijuana use has been supported by instruments such as the MMM. Despite its importance, there are still no valid brief versions of this instrument in Latin American countries. This paper seeks to fill this gap by providing evidence of validity and reliability, as well as the structural invariance of the MMM. Method: The sample consisted of 1164 male and female marijuana users, aged between 18 and 49 years, from Lima and Callao. Results: The factor analysis found a pentafactorial structure. The brief version (MMM-P15) and the wide MMM showed favorable properties from structure and reliability (ꙍ > 0.88, H > .84) with a slight superiority of the short instrument (RMSEA = .058 [CI 90% .050, .067], SRMR = 0.044, TLI = 0.99, CFI = 0.99). Likewise, both versions maintain the invariance of the instrument according to sex and evidence of internal validity was found (AVE > 0.50). Conclusions: The MMM-P15 shows psychometric properties that support its use in both male and female marijuana users, and it is a short, versatile, and useful instrument for research purposes even in clinical settings.

Downloads

Download data is not yet available.

References

Benschop, A., Liebregts, N., Van der Pol, P., Schaap, R., Buisman, R., Van Laar, M., Van den Brink, W., Graaf, R. & Korf, D. (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. https://doi.org/10.1016/j.addbeh.2014.09.003

Brenneke, S. G.; Nordeck, C. D.; Riehm, K. E.; Schmid, I.; Tormohlen, K. N.; Smail, M. J.; Johnson, R. M.; Kalb, L. G.; Stuart, E. A. & Thrul, J. (2021). Trends in cannabis use among U.S. adults amid the COVID-19 pandemic. International Journal of Drug Policy, 103517. https://doi.org/10.1016/j.drugpo.2021.103517

Brown, T. (2015). Confirmatory Factor Analysis for applied research. Guilford Press.

Cooper, M. (1994). Motivations for alcohol use among adolescents: Development and validation of a four-factor model. Psychological Assessment, 6(2), 117–128. https://doi.org/10.1037/1040-3590.6.2.117

Díaz-Geada, A., Obradors-Rial, N., Baena, A., Teixidó-Compañó, E., Colillas-Malet, E., Mallah, N., Moure-Rodríguez, L., Caamaño-Isorna, F. &

Barón-García, T. (2021). Contextual Determinants in Alcohol, Tobacco and Cannabis Consumption, Mood and Bullying during Adolescence. Int. J. Environ. Res. Public Health, 18, 8480. https://doi.org/10.3390/ijerph18168480

Duarte, C., Varela, M., Salazar, I., Lema, L. & Tamayo, J. (2012). Motivaciones y recursos para el consumo de sustancias psicoactivas en universitarios. Hacia la Promoción de la Salud, 17(1), 92 – 104. http://www.scielo.org.co/pdf/hpsal/v17n1/v17n1a07.pdf

Elosua, P. & Zumbo, B. (2008). Coeficientes de fiabilidad para escalas de respuesta categórica ordenada. Psicothema, 20(4),896-901. https://www.redalyc.org/articulo.oa?id=72720458

European Monitoring Centre for Drugs and Drug Addiction. (2021). Informe Europeo sobre drogas. Tendencias y novedades. https://www.emcdda.europa.eu/system/files/publications/13838/2021.2256_ES0906.pdf

Ferrando, P. J. & Lorenzo-Seva, U. (2017). Program FACTOR at 10: Origins, development and future directions. Psicothema 29(2), 236-240 doi: 10.7334/psicothema2016.304

Garrison, E., Gilligan, C., Ladd, B. & Anderson, K. (2021). Social Anxiety, Cannabis Use Motives, and Social Context’s Impact on Willingness to Use Cannabis. Int. J. Environ. Res. Public Health, 18, 4882. https://doi.org/10.3390/ijerph18094882

Genrich, G., Zeller, C. & Znoj, H. J. (2021). Interactions of protective behavioral strategies and cannabis use motives: An online survey among past-month users. PLoS One, 16(3), e0247387. https://doi.org/10.1371/journal.pone.0247387

Hair, J., Black, W., Babin, B., & Anderson, R. (2014). Multivariate data analysis. (7th Edition). Pearson.

Hasin, D., Tulshi, D., Kerridge, B., Goldstein, R., Chou, P. & Zhang, H. (2015). Prevalence of marijuana use disorders in the United States between 2001-2002 and 2012-2013. JAMA Psychiatry, 72(12), 1235-42. http://jamanetwork.com/article.aspx?doi=10.1001/jamapsychiatry.2015.1858

Inter-American Drug Abuse Control Commission. (2019). Informe sobre el consumo de drogas en las Américas. http://www.cicad.oas.org/oid/Informe%20sobre%20el%20consumo%20de%20drogas%20en%20las%20Am%C3%A9ricas%202019.pdf

Imtiaz, S., Wells, S., Rehm, J., Hamilton, H. A., Nigatu, Y. T. Wickens, C. M., Jankowicz, D. & Elton-Marshall, T. (2020). Cannabis Use During the COVID-19 Pandemic in Canada: A Repeated Cross-sectional Study. Journal of Addiction Medicine, 15(6), 484-490. https://dx.doi.org/10.1097%2FADM.0000000000000798

Lee, C., Derefinko, K., Heather, D., Milich, R. & Lynam, D. (2017). Cross-lagged relations between motives and substance use: Can use strengthen your motivation over time? Drug and Alcohol Dependence, 178(1), 544-550. https://doi.org/10.1016/j.drugalcdep.2017.05.027

MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power Analysis and determination of sample size for covariance structure modeling of fit involving a particular measure of model. Psychological Methods, 13(2), 130–149. https://doi.apa.org/doi/10.1037/1082-989X.1.2.130

Malgady, R. (2007). How skewed are psychological data? A standardized index of effect size. The Journal of General Psychology, 134(3), 355-359. https://doi.org/10.3200/GENP.134.3.355-360

Matalí, J., Simons, J., Pardo, M., Lleras, M., Pérez, A. & Andión, O. (2017). Spanish version validation of the Marihuana Motives Measure in a drug-consuming adolescent sample. Adicciones, 20(10), 1-9. https://doi.org/10.20882/adicciones.947

Mezquita, L., Ruiz, L., Martínez, N., Ibáñez, M. & Generós, O. (2019). Development and Validation of the Marijuana Motives Measure Short Form. Adicciones, 31(2), 106-115. https://doi.org/10.20882/adicciones.979

National Institute on Drug Abuse. (2020a). La marihuana – Reporte de investigación. https://www.drugabuse.gov/es/publicaciones/serie-de-reportes/la-marihuana/la-marihuana-es-adictiva

National Institute on Drug Abuse. (2020b). ¿El consumo de marihuana afecta la capacidad de conducir? https://www.drugabuse.gov/es/publicaciones/serie-de-reportes/la-marihuana/el-consumo-de-marihuana-afecta-la-capacidad-de-conducir

Pan American Health Organization and World Health Organization. (2018). Efectos sociales y para la salud del consumo de cannabis sin fines médicos. https://iris.paho.org/bitstream/handle/10665.2/34944/9789275319925_spa.pdf?sequence=1&isAllowed=y

Phillips, K., Lalonde, T., Phillips, M. & Schneider, M. (2017). Marijuana Use and Associated Motives in Colorado University Students. The American Journal on Addictions, 26(8), 830–837. https://doi.org/10.1111/ajad.12640

Pons, X. (2008). Modelos interpretativos del consumo de drogas. Polis, 4(2), 157-186. http://www.scielo.org.mx/pdf/polis/v4n2/v4n2a6.pdf

Rolland, B., Haesebaert, F., Zante, E., Benyamina,A., Haesebaert, J.& Franck, N. (2020). Global Changes and Factors of Increase in Caloric/Salty Food Intake, Screen Use, and Substance Use During the Early COVID-19 Containment Phase in the General Population in France: Survey Study. JMIR Public Health and Surveillance, 6(3), e19630. https://doi.org/10.2196/31906

RStudio Team (2015). RStudio: Integrated Development for R. RStudio. https://www.rstudio.com/

Ruppert, R., Kattari, S., & Sussman, S. (2021). Review: Prevalence of Addictions among Transgender and Gender Diverse Subgroups. Int. J. Environ. Res. Public Health, 18, 8843. https://doi.org/10.3390/ijerph18168843

Simons, J., Correia, C. & Carey, K. (2000). A comparison of motives for marijuana and alcohol use among experienced users. Addictive Behaviors, 25(1), 153-160. https://doi.org/10.1016/S0306-4603(98)00104-X

Simons, J., Correia, C., Carey, K. & Borsari, B. (1998). Validating a Five-Factor Marijuana Motives Measure: Relations With Use, Problems, and Alcohol Motives. Journal of Counseling Psychology, 45(3), 265-273. https://psycnet.apa.org/doi/10.1037/0022-0167.45.3.265

Simons, J., Gaher, R., Correia, C., Hansen, C. & Christopher, M. (2005). An Affective–Motivational Model of Marijuana and Alcohol Problems Among College Students. Psychology of Addictive Behaviors, 19(3), 326-334. https://psycnet.apa.org/doi/10.1037/0893-164X.19.3.326

Terwee, C. B., Bot, S. D., Boer, M. R. van der Windt, D. A., Knol, D. L., Dekker, J., Bouter, L. M., & de Vet, H. C. (2007). Quality criteria were proposed for measurement pro-perties of health status questionnaires. Journal of Clinical Epidemiology, 60(1), 34 -42. https://doi.org/10.1016/j.jclinepi.2006.03.012

United Nations Office on Drugs and Crime. (2021a). Informe Mundial sobre las Drogas 2021: los efectos de la pandemia aumentan los riesgos de las drogas, mientras los jóvenes subestiman los peligros del cannabis. https://www.unodc.org/peruandecuador/es/noticias/2021/informe-mundial-sobre-drogas-2021.html

United Nations Office on Drugs and Crime. (2021b). Drug Market Trends: Cannabis Opioids https://www.unodc.org/res/wdr2021/field/WDR21_Booklet_3.pdf

Wu M. L. (2013). Questionnaire Statistical Analysis Practice-SPSS Operation and Application. Chongqing University Press.

Zamora, B., Sirvent, C. & Palacios, L. (2005). Diferencias de género en la adicción e implicaciones terapéuticas. Salud y drogas, 5(2), 81-97. http://www.redalyc.org/articulo.oa?id=83905205

Published
01-01-2023
How to Cite
Vallejos-Flores, M., Capa-Luque, W., Caycho-Caja, A., Chavez Santamaria, A., Reyes-Baca, G., & Bello-Vidal, C. (2023). Internal Structure and Invariance of a Brief Version of the Marijuana Motives Measure (MMM-P15) in a Peruvian Population of Marijuana users. Anales de Psicología / Annals of Psychology, 39(1), 39–50. https://doi.org/10.6018/analesps.509651
Issue
Section
Clinical and Health Psychology