Applied Research Topics

LCA and LTA in Addictive Behaviors

Teen girl accepting joint from outstretched handThe Methodology Center has contributed to important theoretical frameworks for the etiology of drug abuse. For example, we have proposed and applied a methodological framework based on latent class analysis (LCA) and its longitudinal extension, latent transition analysis (LTA), for testing the gateway hypothesis of drug use onset (Maldonado & Lanza, 2010). A major contribution to applied work on drug abuse is the identification of latent classes characterized by particular patterns of drug use; in other words, we use LCA as a measurement model for drug abuse behavior.

References & recommended reading

Bray, B. C., Lee, G. P., Liu, W., Storr, C. L., Ialongo, N. S., & Martins, S. S. (2014). Transitions in gambling participation during late adolescence and young adulthood. Journal of Adolescent Health55(2), 188-194. doi: 10.1016/j.jadohealth.2014.02.001 PMCID: PMC4108554

Bray, B. C., Smith, R. A., Piper, M. E., Roberts, L. J., & Baker, T. B. (2016). Transitions in smokers’ social networks after quit attempts: A latent transition analysis. Nicotine & Tobacco Research, 18(12), 2243-2251.

Lanza, S. T., & Bray, B. C. (2010). Transitions in drug use among high-risk women: An application of latent class and latent transition analysis. Advances and Applications in Statistical Sciences, 3, 203-235. PMCID: PMC3171700

Lanza, S. T., Patrick, M. E., & Maggs, J. L. (2010). Latent transition analysis: Benefits of a latent variable approach to modeling transitions in substance use. Journal of Drug Issues, 40, 93-120. PMCID: PMC2909684

Maldonado, M. M., & Lanza, S. T. (2010). A framework to examine gateway relations in drug use: An application of latent transition analysis. Journal of Drug Issues, 40, 901-924. doi: 10.1177/002204261004000407 PMCID: PMC3400537

White, H. R., Bray, B. C., Fleming, C. B., & Catalano, R. F. (2009). Transitions into and out of light and intermittent smoking from adolescence into emerging adulthood. Nicotine and Tobacco Research, 11, 211-219. doi: 10.1093/ntr/ntn017 PMCID: PMC2658905

Zhang, J., Bray, B. C., Zhang, M., & Lanza, S. T. (2015). Personality profiles and frequent heavy drinking in young adulthood. Personality and Individual Differences, 80, 18-21. doi: 10.1016/j.paid.2015.01.054 PMCID: PMC4397499

LCA in Risk Factor Research

derelict buildingThe Methodology Center has applied LCA to model multiple risk factors to demonstrate the importance of taking a more holistic approach in order to draw prevention implications.

References & recommended reading

Cleland, C., Lanza, S. T., Vasilenko, S. A., & Gwadz, M. (2017). Syndemic risk classes and substance use problems among adults in high-risk urban areas: A latent class analysis. Frontiers In Public Health.

Cleveland, M. J., Collins, L. M., Lanza, S. T., Greenberg, M. T., & Feinberg, M. E. (2010). Does individual risk moderate the effect of contextual-level protective factors? A latent class analysis of substance use. Journal of Prevention and Intervention in the Community, 38, 213-228. PMCID: PMC2898733

Lanza, S. T., Cooper, B. R., & Bray, B. C. (2014). Population heterogeneity in the salience of multiple risk factors for adolescent delinquency. Journal of Adolescent Health, 54, 319-325. PMCID: PMC3943167

Lanza, S. T. & Rhoades, B. L. (2013). Latent class analysis: An alternative perspective on subgroup analysis in prevention and treatment. Prevention Science, 14, 157-168. PMCID: PMC3173585

Lanza, S. T., Rhoades, B. L., Greenberg, M. T., Cox, M. J., & The Family Life Project Key Investigators (2011). Modeling multiple risks during infancy: Contributions of a person-centered approach. Infant Behavior and Development, 34(3), 390-406. PMCID: PMC3134117

Lanza, S. T., Rhoades, B. L., Nix, R. L., Greenberg, M. T., & the Conduct Problems Prevention Research Group (2010). Modeling the interplay of multilevel risk factors for future academic and behavior problems: A person-centered approach. Development and Psychopathology, 22, 313-335. PMCID: PMC3005302

Rhoades, B. L., Greenberg, M. T., Lanza, S. T., & Blair, C. (2011). Demographic and familial predictors of early executive function development: Contribution of a person-centered perspective. Journal of Experimental Child Psychology, 108, 638-662. doi: 10.1016/j.jecp.2010.08.004 PMCID: PMC3016464

LCA and LTA in Intervention Research

The Methodology Center has applied LCA and LTA to evaluate the way interventions work differently for different subgroups of people.

References & recommended reading

Cleveland, M. J., Lanza, S. T., Ray, A. E., Turrisi, R., & Mallett, K. M. (2012). Transitions in first-year college student drinking behaviors: Does drinking latent class membership moderate the effects of parent- and peer-based intervention components? Psychology of Addictive Behaviors, 26, 440-450. PMCID: PMC3413757

Cooper, B. R., & Lanza, S. T. (2014). Who benefits most from Head Start? Using latent class moderation to exaimne differential treatment effects. Child Development, 85, 2317-2338.

Lanza, S. T. & Rhoades, B. L. (2013). Latent class analysis: An alternative perspective on subgroup analysis in prevention and treatment. Prevention Science, 14, 157-168. PMCID: PMC3173585


LCA and LTA in HIV Research

virus and red blood cellsThe Methodology Center has applied LCA and LTA to understand subgroups of people who are at risk for HIV infection. For example, we have examined sexual risk behavior among adolescents and adults (Lanza, Kugler, & Mathur, 2011). We have also tested the role played by social networks in HIV risk among a high-risk population in Namibia (Smith & Lanza, 2011).

References & recommended reading

Lanza, S. T., & Collins, L. M. (2008). A new SAS procedure for latent transition analysis: Transitions in dating and sexual risk behavior. Developmental Psychology, 44, 446-456. doi: 10.1037/0012-1649.44.2.446 PMCID: PMC2846549

Lanza, S. T, Kugler, K. C., & Mathur, C. (2011). Differential effects for sexual risk behavior: An application of finite mixture regression. The Open Family Studies Journal, 4(Suppl. 1-M9), 81-88. PMCID: PMC3487167

Smith, R. A., & Lanza, S. T. (2011). Testing theoretical network classes and HIV-related correlates with latent class analysis. AIDS Care, 23, 1274-1281. PMCID: PMC3181093

Vasilenko, S. A., Kugler, K. C., Butera, N. M. & Lanza, S. T. (2014). Patterns of adolescent sexual behavior predicting young adult sexually transmitted infections: A latent class analysis approach. Archives of Sexual Behavior. doi: 10.1007/s10508-014-0258-6 PMICD: PMC4107199


Last updated: May 11, 2020