Skip to main content

Primarily Methodological Uses of IDA or Relevant Psychometric Developments

Hussong, A.M., Cole, V.T., Curran, P.J., Bauer, D.J., & Gottfredson, N.C. (in press). Integrative data analysis and the study of global health. In X. Chen (Eds.), Statistics for Global Health and Epidemiology: Principles, Methods and Application. New York, NY: Springer.

Curran, P.J., Georgeson, A.R., Bauer, D.J., & Hussong, A.M. (in press). Psychometric Models for Scoring Multiple Reporter Assessments: Applications to Integrative Data Analysis in Prevention Science.  International Journal of Behavioral Development.

Curran, P.J., Cole, V.T., Bauer, D.J., Rothenberg, W.A., and Hussong, A.M. (2018). Recovering Predictor-Criterion Relations Using Covariate-Informed Factor Score Estimates. Structural Equation Modeling: A Multidisciplinary Journal, 25, 860-875. 

Gottfredson, N.C., Cole, V.T., Giordano, M.L., Bauer, D.J., Hussong, A.M., Ennett, S.T. (2019). Simplifying the implementation of modern scale scoring methods with an automated R package: Automated Moderated Nonlinear Factor Analysis (aMNLFA). Addictive Behaviors, 94, 65-73. http://dx.doi.org.libproxy.lib.unc.edu/10.1016/j.addbeh.2018.10.031

Hussong, A.M., Gottfredson, N.C., Bauer, D.J., Curran, P.J., Haroon, M., Chandler, R., Kahana, S., Delaney, C., Altice, F.L., Beckwith, C.G., Feaster, D., Flynn, P.M., Gordon, M.G., Knight, K., Kuo, I., Lorvick, J., Ouelett, L.J., Quan, V., Seal, D.W., Springer, S.A. (2019). Approaches for creating comparable measures of alcohol use symptoms from eight STTR study sites. Drug and Alcohol Dependence, 194, 59-68.

Curran, P.J., Cole, V.T., Giordano, M., Georgeson, A.R., Hussong, A.M., & Bauer, D.J. (2018).  Advancing the study of adolescent substance use through the use of integrative data analysis. Evaluation and the Health Professions, 41, 216-245. doi: 10.1177/0163278717747947

Cole, V.T., Bauer, D.J., Hussong, A.M., & Giordano, M.L. (2017). An empirical assessment of the sensitivity of mixture models to changes in measurement. Structural Equation Modeling, 24, 159-179.

Curran, P.J., Cole, V., Bauer, D.J., Hussong, A.M., & Gottfredson, N. (2016). Improving factor score estimation through the use of observed background characteristics. Structural Equation Modeling, 23, 827-844.

Curran, P. J., McGinley, J. S., Bauer, D. J., Hussong, A. M., Burns, A., Chassin, L. Sher, K., & Zucker, R. (2014). A moderated nonlinear factor model for the development of commensurate measures in Integrative Data Analysis. Multivariate Behavioral Research, 49(3), 214-231. doi: 10.1080/00273171.2014.889594. PMCID: PMC4423418.

Bauer, D. J., Howard, A. L., Badasaro, R. E., Curran, P. J., Hussong, A. M., Chassin, L., Zucker, R. A. (2013). A tri-factor model for integrating ratings across multiple informants. Psychological Methods, 18(4), 475-493. doi:1037/a0032475. PMCID: PMC3964937.

Hussong, A. , Curran, P. J. & Bauer, D. J. (2013). Integrative data analysis in clinical psychology research, Annual Review of Clinical Psychology, 9, 61-89. doi: 10.1146/annurev-clinpsy-050212-185522. PMCID: PMC3924786.

Curran, P. J., & Hussong, A. M. (2009). Integrative data analysis: The simultaneous analysis of multiple data sets. Psychological Methods, Special Issue: Multi-Study Methods for Building a Cumulative Psychological Science, 14(2), 81-100. doi: 1037/a0015914. PMCID: PMC2777640.

Curran, P.J. (2009). The seemingly quixotic pursuit of a cumulative psychological science: Introduction to the special issue. Psychological Methods, Special Issue: Multi-Study Methods for Building a Cumulative Psychological Science, 14(2), 77-80.  doi: 10.1037/a0015972. PMCID: PMC2766595.

Bauer, D. J. & Hussong, A. M. (2009). Psychometric approaches for developing commensurate measures across independent studies: Traditional and new models.  Psychological Methods, Special Issue: Multi-Study Methods for Building a Cumulative Psychological Science, 14(2), 101-125.  doi: 10.1037/a0015583. PMCID: PMC2780030.

Curran, P. , Hussong, A. M., Cai, L., Huang, W., Chassin, L., Sher, K. J., & Zucker, R. A. (2008). Pooling data from multiple longitudinal studies:  The role of item response theory in integrative data analysis.  Developmental Psychology, 44(2), 365-380. doi: 10.1037/0012-1649.44.2.365.  PMCID: PMC2894156.

Flora, D. , Curran, P. J., Hussong, A. M., & Edwards, M. C. (2008). Incorporating measurement non-equivalence in a cross-study latent growth curve analysis.  Structural Equation Modeling, 15(4), 676-704. doi: 10.1080/10705510802339080. PMCID: PMC2772080.

Curran, P.J., Edwards, M.C., Wirth, R.J., Hussong, A.M., & Chassin, L. (2007). The incorporation of categorical measurement models in the analysis of individual growth. In T. Little, J. Bovaird, & N. Card (Eds.), Modeling Ecological and Contextual Effects in Longitudinal Studies of Human Development (pp. 89-120). Mahwah, NJ: LEA.

Publications with worked examples of Moderated NonLinear Factor Analysis (MNLFA)

Bauer sample MPLUS code and link to simulated data set: Bauer, D.J. (2017). A more general model for testing measurement invariance and differential item functioningPsychological Methods, 22, 507-526. doi: 10.1037/met0000077. PMCID: PMC5140785. Also Available: Supplemental material demonstrating how to fit the model in Mplus.

Another worked example:  Curran, P.J., McGinley, J.S., Bauer, D.J., Hussong, A.M., Burns, A., Chassin, L., Sher, K., & Zucker, R. (2014). A moderated nonlinear factor model for the development of commensurate measures in integrative data analysisMultivariate Behavioral Research, 49, 214-231, doi: 10.1080/00273171.2014.889594.  Also Available: Full MNLFA model can now be estimated with Mplus v. 7.3 or higher (including discrete items), see Annotated Mplus Example.

R-package to partially automate MNLFA model building (aMNLFA): Gottfredson, N.C., Cole, V.T., Giordano, M.L., Bauer, D.J., Hussong, A.M., Ennett, S.T. (2019). Simplifying the implementation of modern scale scoring methods with an automated R package: Automated Moderated Nonlinear Factor Analysis (aMNLFA). Addictive Behaviors, 94, 65-73. http://dx.doi.org.libproxy.lib.unc.edu/10.1016/j.addbeh.2018.10.031

Primarily Substantive Examples of IDA or Multi-Study Parallel Analysis

Burns, A.R., Hussong, A.M., Solis, J.M., Curran, P.J., McGinley, J.S., Bauer, D.J., Chassin, L., & Zucker, R.A. (2017). Examining cohort effects in developmental trajectories of substance use. International Journal of Behavioral Development 41(5), 621-631. https://doi.org/10.1177/0165025416651734

Hussong, A. , Huang, W., Serrano, D., Curran, P. J., & Chassin, L. (2012). Testing whether and when parent alcoholism uniquely affects various forms of adolescent substance use. Journal of Abnormal Child Psychology, 40(8), 1265-1276. doi: 10.1007/s10802-012-9662-3. PMCID: PMC3473117.

Hussong, A. M., Huang, W. J., Curran, P. J., Chassin, L., & Zucker, R. A. (2010). Parent alcoholism impacts the severity and timing of children’s externalizing symptoms. Journal of Abnormal Child Psychology, 38(3), 367-380. doi: 10.1007/s10802-009-9374-5. PMCID: PMC3178003.

Hussong, A. , Bauer, D. J., Huang, W. , Chassin, L., Sher, K. J., & Zucker, R. A. (2008). Characterizing the life stressors of children of alcoholic parents. Journal of Family Psychology, 22(6), 819-822. doi:  10.1037/a0013704. PMCID: PMC2765873.

Hussong, A. M., Cai, L., Curran, P. J., Flora, D. B., Chassin, L. A., & Zucker, R. A. (2008). Disaggregating the distal, proximal, and time-varying effects of parent alcoholism on children’s internalizing symptoms.  Journal of Abnormal Child Psychology, 36(3), 335-346. doi: 10.1007/s10802-007-9181-9. PMCID: PMC2785434.

Hussong, A. M., Flora, D. B., Curran, P. J., Chassin, L. A., Zucker, R. A. (2008). Defining risk heterogeneity for internalizing symptoms among children of alcoholic parents. Development and Psychopathology, 20(1), 165-193. doi: 10.1017/S0954579408000084. PMCID: PMC2249558

Hussong, A. M., Wirth, R. J., Edwards, M. C., Curran, P. J., Chassin, L. A., & Zucker, R. A. (2007). Externalizing symptoms among children of alcoholic parents:  Entry points for an antisocial pathway to alcoholism.  Journal of Abnormal Psychology, 116(3), 529-542. doi: 10.1037/0021-843X.116.3.529. PMCID: PMC2842994