Please email me (sablozis@ucdavis.edu) to request any of the papers listed below.

Blozis, S. A. (2022). A latent variable mixed-effects location scale model for longitudinal data with an application to daily diary data. Psychometrika.

Blozis, S. A. (2022). Bayesian two-part multilevel model for longitudinal media use data. Journal of Marketing Analytics.

Eastwick, P. W., Joel, S., Carswell, K. L., Molden, D. C., Finkel, E. J., & Blozis, S. A. (in press). Predicting romantic interest during early relationship development: A preregistered investigation using machine learning. European Journal of Personality.

Blozis, S. A., & Harring, J. R. (2021). Fitting nonlinear mixed-effects models with alternative residual covariance structures. Sociological Methods & Research, 50(2), 531-566.

Harring, J. R., Strazzeri, M. M., & Blozis, S. A. (2021). Piecewise latent growth models: Beyond modeling linear-linear processes. Behavior Research Methods, 53, 593-608. https://doi.org/10.3758/s13428-020-01420-5

Blozis, S. A., McTernan, M., Harring, J., & Zheng, Q. (2020). Two-part mixed-effects location scale models. Behavior Research Methods. https://doi.org/10.3758/s13428-020-01359-7

Blozis, S. A., Villarreal, R., Thota, S., & Imparato, N. (2019). Using a two-part mixed-effects model for understanding daily, individual-level media behavior. Journal of Marketing Analytics, 7(4), 234-250.

Harring, J. R., & Blozis, S. A. (2016). A note on recurring misconceptions when fitting nonlinear mixed models. Multivariate Behavioral Research, 51(6), 805-817.

Blozis, S. A., & Harring, J. R. (2016). On the estimation of nonlinear mixed-effects models and latent curve models for longitudinal data. Structural Equation Modeling, 23(6), 904-920.

Blozis, S. A., & Harring, J. (2015). Understanding individual-level change through the basis functions of a latent curve model. Sociological Methods & Research.

Villarreal, R., & Blozis, S. A. (2015). The importance of the analytic approach to the multi-group ethnic identity measure in the study of Hispanic media behavior. Journal of Cultural Marketing Strategy

McTernan, M., & Blozis, S. A. (2015). Longitudinal models for  ordinal data with many zeros and varying numbers of response categories. Structural Equation Modeling, 22(2), 216-226

Blozis, S. A., & Villarreal, R. (2014). Analytic approaches to the Multigroup Ethnic Identity Measure (MEIM). Applied Psychological Measurement38(7), 577-580. 

Harring, J. R., & Blozis, S. A. (2014). Fitting correlated residual error structures in nonlinear mixed-effects models using SAS PROC NLMIXED. Behavioral Research Methods, 46(2), 372-384.

Xu, S., Blozis, S.A., & Vandewater, E.A. (2014). On fitting a multivariate two-part latent growth model. Structural Equation Modeling21(1), 131-148.

Blozis, S. A., Ge, X., Xu, S., Natsuaki, M. N., Shaw, D. S., Neiderhiser, J. M., Scaramella, L. V., Leve, L. D., & Reiss, D. (2013). Sensitivity analysis of multiple informant models when data are not missing at random. Structural Equation Modeling, 20(2), 283-298.

Xu, S., & Blozis, S. A. (2011). Sensitivity Analysis of a Mixed Model for Incomplete Longitudinal Data. Journal of Educational & Behavioral Statistics, 36, 237-256.

Blozis, S.A., & Cho, Y.I. (2008). Coding and centering of time in latent curve models in the presence of interindividual time heterogeneity. Structural Equation Modeling, 15(3), 413-433.

Blozis, S.A., Harring, J.R., & Mels, G. (2008). Using LISREL to fit nonlinear latent curve models. Structural Equation Modeling, 15(2), 356-379.

Prokosch, M.D.*, Coss, R.G., Scheib, J.E., & Blozis, S.A. (2008). Intelligence and mate choice: Intelligent men are always appealing. Evolution & Human Behavior, 30, 11-20.

Blozis, S.A. (2007). A Newton procedure for a conditionally linear mixed-effects model. Behavior Research Methods, 39, 695-708.

Blozis, S.A. (2007). On fitting nonlinear latent curve models to multiple variables measured longitudinally. Structural Equation Modeling, 14(2), 179-201.

Blozis, S.A., & Traxler, M. (2007). Analyzing individual differences in sentence processing performance using multilevel models. Behavior Research Methods, 39, 31-38.

Blozis, S.A., Conger, K.J., & Harring, J.R. (2007). Nonlinear latent curve models for longitudinal data. International Journal of Behavioral Development, 340-346.

Stamps, J., Davis, J. Blozis, S.A., & Boundy-Mills. Genotypic variation in refractory periods and habitat selection by natal dispersers. (2007). Animal Behaviour, 74, 599-610.

Stamps, J. A., & Blozis, S.A. (2006). Effects of natal experience on habitat selection when individuals make choices in groups: A multilevel analysis. Animal Behaviour, 71, 663-672.

Villarreal, R., Blozis, S.A., & Widaman, K. (2005). Factorial invariance of a Pan-Hispanic familism scale. Hispanic Journal of Behavioral Sciences, 27, 409-425.

Traxler, M.J., Williams, R.S., Blozis, S.A., & Morris, R.K. (2005). Working memory, animacy and verb class in the processing of relative clauses. Journal of Memory & Language, 53, 204-224.

Blozis, S.A. (2004). Structured latent curve models for the study of change in multivariate repeated measures. Psychological Methods, 9(4), 334–353.

Vaughn, S., Linan-Thompson, S., Kouzekanani, K., Bryant, D., Dickson, S., & Blozis, S.A. (2003). Reading instruction grouping for students with reading difficulties. Remedial and Special Education, 24, 301-315.

Blozis, S.A., & Cudeck, R. (1999). Conditionally linear mixed-effects models with latent variable covariates. Journal of Educational & Behavioral Statistics, 24, 245-270.