Faculty
Gitta Lubke
John Cardinal O'Hara CSC Associate Professor of Psychology
Ph.D., Free University Amsterdam
Profile
Gitta Lubke's area of research is in the field of general latent variable modeling and cluster analysis. In addition to the analysis of complex phenotypes (e.g., attention problems), she is interested in the analysis of genetic data. A new topic is the development of multivariate methods for genome-wide association studies (GWAS). Other areas of expertise include twin models, measurement invariance, multi-group factor analysis, longitudinal analyses, and the analysis of categorical data.
Recent Papers
Tueller, S., & Lubke, G. H. (submitted). Evaluation of structural equation mixture models in a cross sectional setting: Parameter estimates and correct class assignment.
Lubke, G. H., & Neale, M.C. (in press). Distinguishing between latent classes and continuous factors with categorical outcomes: Class invariance of parameters of factor mixture models. Multivariate Behavioral Research.
Lubke, G., and Spies, J. (2008). Choosing a 'correct' factor mixture model: Power, limitations, and graphical data exploration. In G. R. Hancock & K. M. Samuelsen (Eds.), Advances in latent variable mixture models. Charlotte, NC: Information Age Publishing, 343-362.
Lubke, G. H., Muthen, B.O., Moilanen, I. K., McGough, J. J., Loo, S. K., Swanson, J. M., Yang, M. H., Taanila, A., Hurtig, T., Jarvelin, M. R., & Smalley, S. L. (2007 ). Subtypes vs. severity differences in Attention Deficit Hyperactivity Disorder in the Northern Finnish Birth Cohort (NFBC). Journal of the American Academy of Child and Adolescent Psychiatry, 46, 26-47.
Keller, P. S., Cummings, E. M., Davies, P. T., & Lubke, G. H., (2007). Children’s behavioral reactions to marital conflict as a function of parents’ conflict behaviors and alcohol problems. European Journal of Developmental Psychology, 4, 157-177.
Lubke, G.H. & Muthén, B.O. (2007). Performance of factor mixture models as a function of covariate effects, model size, and class-specific parameters. Structural Equation Modeling, 14, 26-47.
Lubke, G.H., & Neale, M.C, (2006). Distinguishing between latent classes and continuous factors: Resolution by maximum likelihood? Multivariate Behavioral Research, 41, 499-532.
Pressman, L.J., Loo, S.K., Carpenter, E.M., Asarnow, J. Lynn, D., McCracken, J. McGough, J., Lubke, G.H., Yang, M.H., & Smalley, S.L. (2006). Effects of family environment and parental psychopathology on impairment in ADHD. Journal of the American Academy of Child & Adolescent Psychiatry, 45, 345-354.
Neale, M. C, Lubke, G. H., Aggen, S. H. & Dolan, C.V., (2005). Problems with using sum scores for estimating variance components: Contamination and measurement non-invariance. Twin Research & Human Genetics, 16, 553-568.
Lynn, D.E., Lubke, G.H., Yang, M., McCracken, J.R., Gough, J., & Smalley, S. (2005). Temperament and Character Profiles and the Dopamine D4 Receptor Gene in ADHD. The American Journal of Psychiatry, 162, 906-914.
Dolan, C.V., Schmittmann, V.D., Lubke, G.H., & Neale, M. C. (2005). Regime switching in the latent growth curve model. Structural Equation Modeling, 12, 94-119.
Lubke, G.H. & Muthén, B.O. (2005). Investigating population heterogeneity with factor mixture models. Psychological Methods, 10, 21-39.
Lubke, G.H. & Muthén, B.O. (2004). Applying multi-group confirmatory factor models for continuous outcomes to Likert scale data complicates meaningful group comparisons. Structural Equation Modeling, 11, 514-534.
Lubke, G.H., Neale, M.C., & Dolan, C.V. (2004). Implications of absence of measurement invariance for detecting sex limitation and genotype by environment interaction. Twin Research , 7(3), 292 - 298.
Lubke, G.H., Dolan, C.V. & Kelderman, H., & Mellenbergh, G.J. (2003). The relation between sources of within- and between-group differences and measurement invariance in the context of the common factor model. Intelligence, 173, 1-24.
Lubke, G.H., Dolan, C.V., & Kelderman, H. (2003). Weak measurement invariance with respect to unmeasured variables: An implication of strict factorial invariance. British Journal of Mathematical and Statistical Psychology, 56(2), 231-248.
Lubke, G.H. & Dolan, C.V. (2003). Can differences in residual variances across groups mask differences in residual means in the common factor model? Structural Equation Modeling , 10, 175-192.
Kerssens, C., Lubke, G.H., Klein, J., van der Woerd, A., & Bonke, B. (2002). Memory function during propofol/alfentanil anesthesia: Predictive value of individual differences. Anesthesiology 97, 382-389.
Lubke, G.H. (2002). The common factor model restricted to investigate measurement invariance in a heterogenous population: Some applications and implications. Dissertation, Free University Amsterdam, The Netherlands.
Lubke, G.H., Dolan, C.V., & Kelderman, H. (2001). Investigating Group Differences using Spearman’s Hypothesis: An Evaluation of Jensen’s Method. Multivariate Behavioral Research , 36(3), 299-324.
Dolan, C.V. & Lubke, G.H. (2001). Viewing Spearman’s Hypothesis from the perspective of multi-group PCA: A comment on Schönemann’s criticism. Intelligence 29, 231-245.
Lubke, G.H. , Kerssens, C., Gershon, R.Y., & Sebel, P.S. (2000). Memory Formation during general anesthesia for emergency cesarean sections. Anesthesiology 92, 1029-1037.
Lubke, G.H. & Sebel, P.S. (2000). Awareness and different forms of memory in trauma anesthesia. Current Opinions in Anesthesiology, 13, 161-165.
Lubke, G.H. , Kerssens, C., Phaf, R.H., & Sebel, P.S. (1999). Dependence of Explicit and Implicit Memory on Hypnotic State in Trauma Patients. Anesthesiology 90 (3), 670-680.
Contact Information
Office: 110 Haggar Hall
Notre Dame, Indiana 46556
Phone: (574) 631-8789
Email: glubke@nd.edu