Factor analysis, reliability and validity of a measurement model for the intent of alcohol consumption among ecuadorian teenagers

  1. Moreta Herrera, Rodrigo 1
  2. Mayorga Lascano, Marlon 1
  3. Larzábal Fernández, Aitor 1
  4. Vaca Quintana, Diego 2
  1. 1 Pontificia Universidad Católica del Ecuador, Ambato. Ecuador
  2. 2 Universidad Tecnológica Indoamérica. Ecuador
Zeitschrift:
Health and addictions: salud y drogas

ISSN: 1578-5319

Datum der Publikation: 2020

Ausgabe: 20

Nummer: 1

Seiten: 126-135

Art: Artikel

DOI: 10.21134/HAAJ.V20I1.489 DIALNET GOOGLE SCHOLAR lock_openOpen Access editor

Andere Publikationen in: Health and addictions: salud y drogas

Objetivos de desarrollo sostenible

Zusammenfassung

Objective. Confirm the bifactorial structure, reliability and validity of the Modelo de Medición de Intención al consumo de Alcohol (MMICA), in a sample of Ecuadorian adolescents. Method. Instrumental study with factor analysis, reliability and validity (construct and criterion) of the MMICA among risky and not risky consumers. The sample was 480 students (52.3% men), between 12 to 19 years (M= 14.8, SD= 1.5), from three different educational centres (67.9% public) of Ambato and Pelileo cities, Ecuador. Results. The bifactorial structure is confirmed with a variance explained of 72.1%, the adjustment data are adequate with X2 = 39.9; p< .001; df= 26; X2 /df=1.5; CFI= .98; TLI= .97; SRMR= .045; RMSEA=.048 [.011 - .077]. Reliability is high (ω=.90 for behavioural control and ω=, 84 for behavioural belief). This study confirms criterion validity between risky and not risky alcohol consumers. Conclusions. The MMICA is an adequate, reliable and valid test to assess intent of alcohol consumption among Ecuadorian adolescents

Bibliographische Referenzen

  • Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Action control, 11-39.
  • Ajzen, I., & Fishbein, M. (2000). Attitudes and the Attitude-Behavior Relation: Reasoned and Automatic Processes. European Review of Social Psychology, 11(1), 1-33.
  • Ato, M., López, J., & Benavente, A. (2013). Un sistema de clasificación de los diseños de investigación en psicología. Anales de Psicología, 29(3), 1038-1059. doi:10.6018/analesps.29.3.178511
  • Batista-Fogueta, Manuel, J., Coenders, G., & Alonso, J. (2004). Análisis factorial confirmatorio. Su utilidad en la validación de cuestionarios relacionados con la salud. Medicina Clínica, 122(Supl 1), 21-7.
  • Boomsma, A., & Hoogland, J. (2001). The robustness of LISREL modeling revisited. En R. Cudeck, S. Du Toit, & D. Sörbom (Edits.), Structural equation modeling: present and future. A festschrift in honor of Karl Jöreskog (págs. 139-168). Chicago: Scientific Software International.
  • Broadwater, K., Curtin, L., Martz, D. M., & Zrull, M. C. (2006). College student drinking: Perception of the norm and behavioral intentions. Addictive behaviors, 34(1), 632-640. doi:10.1016/j.addbeh.2005.05.041
  • Byrne, B. M. (2006). Structural equation modeling with EQS. Basic concepts, applications, and programming (2nd ed.). Hills Dale, NJ: Lawrence Erlbaum Associates.
  • Cain, M. K., Zhang, Z., & Yuan, K. H. (2017). Univariate and multivariate skewness and kurtosis for measuring nonnormality: Prevalence, influence and estimation. Behavior Research Methods, 49(5), 17161735. doi:10.3758/s13428-016-0814-1
  • Caycho, T. (2017). Importancia del análisis de invarianza factorial en estudios comparativos en Ciencias de la Salud. Educación Médica Superior, 31(2), 1-3.
  • Conner, M., & Sparks, P. (2015). Theory of planned behaviour and the reasoned action approach. En M. Conner, & P. Norman (Edits.), Predicting and changing health behaviour: Research and practice with social cognition models (3rd ed., págs. 142–188). Buckingham.
  • Consejo Nacional de Control de Sustancias Estupefacientes y Psicoactivos [CONSEP]. (2013). IV Estudio Nacional sobre uso de drogas en población de 12 a 65 años del Ecuador. Quito: CONSEP.
  • Cooke, R., Dahdah, M., Norman, P., & French, D. P. (2016). How well does the theory of planned behaviour predict alcohol consumption? A systematic review and meta-analysis. Health psychology review, 10(2), 148-167. doi:10.1080/17437199.2014.947547
  • Dempsey, R. C., McAlaney, J., Helmer, S. M., Pischke, C. R., Akvardar, Y., Bewick, B. M., . . . Van Hal, G. (2016). Normative perceptions of cannabis use among European university students: associations of perceived peer use and peer attitudes with personal use and attitudes. Journal of studies on alcohol and drugs, 77(5), 740-748. doi:10.15288/jsad.2016.77.740
  • Dominguez-Lara, S., Merino-Soto, C., & Navarro-Loli, J. (2018). Comparación de coeficientes alfa basada en intervalos de confianza. Educación Médica, 19(1), 70. doi:10.1016/j.edumed.2017.03.025
  • Durán, M., Rodríguez, M., Ferraces, M. J., Río, A., & Sabucedo, J. M. (2016). Determinantes del mantenimiento del consumo de tabaco: extensión de la Teoría de la Conducta Planificada. Terapia psicológica, 34(1), 15-22. doi:10.4067/S0718-48082016000100002
  • Ferrando, P. J., & Anguiano-Carrasco, C. (2010). El análisis factorial como técnica de investigación en psicología. Papeles del Psicólogo, 31(1), 18-33.
  • Fishbein, M., & Ajzen, I. (2010). Predicting and changing behavior: the reasoned action approach. New York: Taylor and Francis.
  • Glock, S., & Krolak-Schwerdt, S. (2013). Changing Outcome Expectancies, Drinking Intentions, and Implicit Attitudes toward Alcohol: A Comparison of Positive Expectancy-Related and Health-Related Alcohol Warning Labels. Applied Psychology: Health and Well-being, 5(3), 332–347. doi:10.1111/aphw.12013
  • Guzmán Facundo, F. R., García Salas, B. A., Aguilar, L. R., & Alonso Castillo, M. M. (2014). Actitud, norma subjetiva y control conductual como predictores del consumo de drogas en jóvenes de zona marginal del norte de México. Frontera norte, 26(51), 53-74. doi:10.4067/s0717-95532012000100006
  • Hasking, P., & Schofield, L. (2015). Examining alcohol consumption with the theory of planned behaviour: Do health and alcohol knowledge play a role? Psychology, health & medicine, 20(7), 838-845. doi:10.1080/13548506.2014.969748
  • Holtmann, J., Koch, T., Lochner, K., & Eid, M. (2016). A comparison of ML, WLSMV, and Bayesian methods for multilevel structural equation models in small samples: A simulation study. Multivariate behavioral research, 51(5), 661-680. doi:10.1080/00273171.2016.1208074
  • Hox, J. J., Moerbeek, M., & Van de Schoot, R. (2017). Multilevel analysis: Techniques and applications (3er ed.). New York: Routledge.
  • Kuntsche, E., Kuntsche, S., Thrul, J., & Gmel, G. (2017). Binge drinking: Health impact, prevalence, correlates, and interventions. Psychology & Health, 32, 976–1017. doi: 10.1080/08870446.2017.1325889
  • Lorenzo-Seva, U. (1999). Promin: a method for oblique factor rotation. Multivariate Behavioral Research, 34, 347-356.
  • Lorenzo-Seva, U., & Ferrando, P. (2013). FACTOR 9.2 A Comprehensive Program for Fitting Exploratory and Semiconfirmatory Factor Analysis and IRT Models. Applied Psychological Measurement, 37(6), 497-498.
  • Mankarious, E., & Kothe, E. (2015). A meta-analysis of the effects of measuring theory of planned behaviour constructs on behaviour within prospective studies. Health psychology review, 9(2), 190-204. doi:10.1080/17437199.2014.927722
  • Mardia, K. (1970). Measures of Multivariate Skewness and Kurtosis with Applications Measures of Multivariate Skewness and Kurtosis with Applications. Biometrika, (57), 519. doi:10.2307/2334770
  • McDonald, R. P. (1999 ). Test theory: A unified treatment. Mahwah: Lawrence Erlbaum Associates, Inc.
  • Moreta-Herrera, R., Almache-Moya, A., Vargas-Espín, A., & Vaca-Quintana, D. (2019). Levels and Patterns of Alcohol Consumption: a Descriptive Study in Ecuadorian Teenagers. International Journal ofJ Mental Health Addiction, online version. doi:10.1007/s11469-01900197-9
  • Moreta-Herrera, R., Ilaja-Verdesoto, B., Mayorga-Lascano, M., LeónTamayo, L., & López-Castro, J. (2018b). Actitudes y disposición personal ante el consumo y exposición a sustancias en adolescentes del Ecuador. Health & Addictions/Salud y Drogas, 18(2), 217-226. doi:10.21134/haaj.v18i2.383
  • Moreta-Herrera, R., Mayorga-Lascano, M., León-Tamayo, L., & IlajaVerdesoto, B. (2018a). Consumo de sustancias legales, ilegales y fármacos en adolescentes y factores de riesgo asociados a la exposición reciente. Health & Adictions/Salud y Drogas, 18(1), 39-50. doi: 10.21134/haaj.v18i1.333
  • Norman, P. (2011). The theory of planned behavior and binge drinking among undergraduate students: Assessing the impact of habit strength. Addictive Behaviors, 36, 502–507. doi:10.1016/j.addbeh.2011.01.025
  • Norman, P., Webb, T. L., & Millings, A. (2019). Using the theory of planned behaviour and implementation intentions to reduce binge drinking in new university students. Psychology & Health, 34(4), 478–496. doi:10.1080/08870446.2018.1544369
  • Pan American Health Organization [PAHO]. (2015). Regional Status Report on Alcohol and Health in the Americas. Wahington, DC: PAHO-WHO.
  • Paqui Baho, K. (2017). Funcionalidad familiar y su relación con el consumo de alcohol en adolescentes de Bachillerato de la Zona 7 Ecuador. 2016 (Master's thesis). Loja: Universidad Nacional de Loja.
  • Peltzer, R. I., Conde, K., Biscarra, M. A., Lichtenberger, A., & Cremonte, M. (2017). Ampliando la evidencia para la Teoría de la Conducta Planeada: predicción del consumo episódico de alcohol en jóvenes mujeres y varones de Argentina. Health and Addiction/Salud y drogas, 17(2), 159-167. doi:10.21134/haaj.v17i2.323
  • Pérez, E. R., & Medrano, L. (2010). Análisis factorial exploratorio: bases conceptuales y metodológicas. Revista Argentina de Ciencias del Comportamiento, 2(1), 58-66.
  • R Core Team. (2019). R: A language and environment for statistical computing. , R Foundation for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing.
  • Rodríguez-Kuri, S. E., Diaz-Negrete, D. B., Gracia-Gutiérrez de Velasco, S. E., Guerrero-Huesca, J. A., & Gómez-Maqueo, E. L. (2007). Capacidad predictiva de la Teoría de la Conducta Planificada en la intención y uso de drogas ilícitas entre estudiantes mexicanos. Salud Mental, 30(1), 68-81.
  • Sheeran, P., Maki, A., Montanaro, E., Avishai-Yitshak, A., Bryan, A., Klein, W. M., . . . Rothman, A. J. (2016). The impact of changing attitudes, norms, and self-efficacy on health-related intentions and behavior: a meta-analysis. Health Psychology, 35(1), 148-167. doi:10.1080/17437199.2014.947547
  • Thompson, B. (2004). Exploratory and confirmatory factor analysis: Understanding concepts and applications. Washington, District of Columbia: American Psychological Association.
  • Ventura-León, J., & Caycho-Rodríguez, T. (2017). El coeficiente Omega: un método alternativo para la estimación de la confiabilidad. Revista Latinoamericana de Ciencias Sociales, Niñez y Juventud, 15(1), 625-627.
  • Vera Noriega, J., Tánori Quintana, J., Valdés Cuervo, Á., Martínez Ortega, L., & Martínez, E. (2014). Modelo de medición de la intención de consumo de alcohol en adolescentes. Interamerican Journal of Psychology, 48(3), 327-339.
  • Wigg, S., & Stafford, L. D. (2016). Health Warnings on Alcoholic Beverages: Perceptions of the Health Risks and Intentions towards Alcohol Consumption. PLoS ONE, 11(4), e0153027. doi:10.1371/journal.pone.0153027