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Academic Careers Liu, Y. Vita 1 Curriculum Vitae Yu Liu Measurement, Quantitative Methods, and Learning Sciences Program 472 Farish Hall Department of Psychological, Health, and Learning Sciences 3657 Cullen Blvd. College of Education Houston, TX 77204 University of Houston Email: [email protected] Office: 713-743-8988 ACADEMIC APPOINTMENT 2016 – Present, Assistant Professor, Measurement, Quantitative Methods, and Learning Sciences, Department of Psychological, Health, and Learning Sciences, University of Houston 2015 – 2016, Research Assistant, Department of Psychology, Arizona State University 2011 – 2014, Research Assistant, Prevention Research Center, Arizona State University EDUCATION Doctor of Philosophy, Quantitative Psychology, Arizona State University, 2016 (Advisors: Drs. Stephen G. West and Jenn-Yun Tein) Master of Arts, Quantitative Psychology, Arizona State University, 2013 (Advisor: Dr. Stephen G. West) Bachelor of Science, Statistics, Peking University, Beijing, China, 2010 Bachelor of Science, Psychology, Peking University, Beijing, China, 2010 RESEARCH INTERESTS My methodological research focuses on statistical modeling and measurement issues in the study of intraindividual growth/change and interpersonal processes influencing intraindividual growth/change, as well as the probing of moderation effects. I have collaborated in applying multilevel models, structural equation models, and various missing data handling procedures to the study of growth and change and the corresponding moderators/mediators in health and mental health outcomes of Mexican-origin youths and their parents, to the study of mediation mechanisms of reading comprehension for native English speakers and fluent and limited English learners, and to the validation of measurement instruments of children’s behaviors, emotions, and academic and social profile in an economically disadvantaged Latinx population. AWARDS AND RECOGNITIONS 2019 Nominated for the University of Houston Teaching Excellence Award 2018 Faculty Teaching Excellence Award, College of Education, University of Houston 2017 Outstanding Poster Award for the Early Career Psychologists (ECP) Research and Innovation Poster Session of the 125th American Psychological Association Annual Convention, for Liu, Y., & Enders, C. K., “Evaluation of multi-parameter test statistics for multiple imputation” Liu, Y. Vita 2 2014 Society of Multivariate Experimental Psychology Invitational Award to Present Outstanding Graduate Research, for Liu, Y., West, S. G., Levy, R., & Aiken, L. S. (2015). Probing interactions in multiple regression: Frequentist versus Bayesian approaches. Multivariate Behavioral Research, 50(1), 139. (Abstract). 2014 Top 3 posters for the 2014 Early Career Preventionist Network (ECPN) Student Poster Contest of the 2014 Society for Prevention Research Annual Meeting, for Liu, Y., Millsap, R. E., Tanaka, R., & Tein, J., “Testing measurement invariance in longitudinal data using ordinal variables” 2012 Best Paper Award 2012, Journal of Research in Personality, for Finch, J., Baranik, L. E., Liu, Y., & West, S. G. (2012). Physical health, positive and negative affect, and personality: A longitudinal analysis. Journal of Research in Personality, 46(5), 537-545. PEER-REVIEWED ARTICLES (underlined authors were students when the work was conducted) 1. Liu, Y., & Sriutaisuk, S. (in press). A comparison of FIML- versus multiple-imputation- based methods to test measurement invariance with incomplete ordinal variables. Structural Equation Modeling: A Multidisciplinary Journal. Accepted 01/08/2021. 2. Murillo, R., Reesor-Oyer, L., Liu, Y., Desai, S., Hernandez, D. C. (in press). The role of neighborhood social cohesion in the association between seeing people walk and leisure-time walking among Latino adults. Leisure Sciences. Published online 12/28/2020. Accepted 12/04/2020. 2019 Impact Factor (2-year) = 1.952, Impact Factor (5-year) = 2.232 [2019 Journal Citation Reports® (Clarivate Analytics, 2020)] 3. Zhang, J., Lin, T. J., Liu, Y., & Nagy, W. (2020). Morphological awareness and reading comprehension: Differential mediation mechanisms for native English speakers, fluent and limited English learners. Journal of Experimental Child Psychology, 199, 104915. Published online 07/09/2020. Accepted 05/19/2020. 2019 Impact Factor (2-year) = 2.301, Impact Factor (5-year) = 2.867 [2019 Journal Citation Reports® (Clarivate Analytics, 2020)] 4. Liu, Y.*, Anderson, J. R.*, Weldon, A. N., Zhu, L., Sajovec, P., Pollard-Duradola, S., Zhang, R., McCormick, A. S., & Gonzalez, J. E. (2020). Examining the factor structure of the Child Behavior Questionnaire – Very Short Form – teacher form in a Spanish-speaking Mexican- American sample. Early Childhood Research Quarterly, 53(4), 403-412. (* Co-first authors) Published online 06/16/2020. Accepted 05/21/2020. 2019 Impact Factor (2-year) = 2.316, Impact Factor (5-year) = 3.709 [2019 Journal Citation Reports® (Clarivate Analytics, 2020)] 5. Murillo, R., Reesor, L. M., Hernandez, D. C., Liu, Y., & Obasi, E. M. (2020). Neighborhood walkability and overweight/obese weight status among Latino adults. American Journal of Health Promotion, 34(6), 599-607. Published online 03/05/2020. Accepted 01/27/2020. Liu, Y. Vita 3 2019 Impact Factor (2-year) = 2.232, Impact Factor (5-year) = 2.380 [2019 Journal Citation Reports® (Clarivate Analytics, 2020)] 6. Relyea, J. E., Zhang, J., Liu, Y., & Wui, G. (2020). Contribution of home language and literacy environment to English reading comprehension for emergent bilinguals: Sequential mediation model analyses. Reading Research Quarterly, 55(3), 473-492. Published online 11/06/2019. Accepted 09/30/2019. 2019 Impact Factor (2-year) = 3.543, Impact Factor (5-year) = 3.690 [2019 Journal Citation Reports® (Clarivate Analytics, 2020)] 7. Liu, Y., & Sriutaisuk, S. (2020). Evaluation of model fit in structural equation models with ordinal missing data: An examination of the D2 method. Structural Equation Modeling: A Multidisciplinary Journal, 27(4), 561-583. Published online 10/08/2019. Accepted 08/28/2019. 2019 Impact Factor (2-year) = 3.638, Impact Factor (5-year) = 5.993 [2019 Journal Citation Reports® (Clarivate Analytics, 2020)] 8. Liu, Y. (2020). Probing curvilinear-by-linear interactions when the predictors are randomly sampled. Behavior Research Methods, 52, 773–798. Published online 09/03/2019. Accepted 06/15/2019. 2019 Impact Factor (2-year) = 4.425, Impact Factor (5-year) = 5.130 [2019 Journal Citation Reports® (Clarivate Analytics, 2020)] 9. Liu, Y., & West, S. G. (2018). Longitudinal measurement non-invariance with ordered- categorical indicators: How are the parameters in second-order latent linear growth models affected?. Structural Equation Modeling: A Multidisciplinary Journal, 25(5), 762-777. 2018 Impact Factor (2-year) = 4.426, Impact Factor (5-year) = 6.742 [2018 Journal Citation Reports® (Clarivate Analytics, 2019)] 10. Liu, Y., West, S. G., Levy, R., & Aiken, L. S. (2017). Tests of simple slopes in multiple regression models with an interaction: Comparison of four approaches. Multivariate Behavioral Research, 52(4), 445-464. 2017 Impact Factor (2-year) = 3.691, Impact Factor (5-year) = 4.180 [2017 Journal Citation Reports® (Clarivate Analytics, 2018)] 11. Gonzales, N. A., Liu, Y., Jensen, M., Tein, J., White, R. M. B., & Deardorff, J. (2017). Externalizing and internalizing pathways to Mexican American adolescents’ risk-taking. Development and Psychopathology, 29(4), 1371-1390. 2017 Impact Factor (2-year) = 4.357, Impact Factor (5-year) = 5.021 [2017 Journal Citation Reports® (Clarivate Analytics, 2018)] 12. Liu, Y., & Enders, C. K. (2017). Evaluation of multi-parameter test statistics for multiple imputation. Multivariate Behavioral Research, 52(3), 371-390. 2017 Impact Factor (2-year) = 3.691, Impact Factor (5-year) = 4.180 [2017 Journal Citation Reports® (Clarivate Analytics, 2018)] 13. Liu, Y., Millsap, R. E., West, S. G. Tein, J., Tanaka, R., & Grimm, K. J. (2017). Testing Liu, Y. Vita 4 measurement invariance in longitudinal data with ordered-categorical measures. Psychological Methods, 22(3), 486-506. 2017 Impact Factor (2-year) = 6.485, Impact Factor (5-year) = 10.315 [2017 Journal Citation Reports® (Clarivate Analytics, 2018)] Rejection rate: 85% [2017 APA Summary Report of Journal Operations (American Psychologist, 2018)] 14. White, R. M. B., Liu, Y., Gonzales, N. A., Tein, J., & Knight, G. P. (2016). Neighborhood qualification of the association between parenting and problem behavior trajectories among Mexican-origin father–adolescent dyads. Journal of Research on Adolescence, 26(4), 927-946. 2016 Impact Factor (2-year) = 2.288, Impact Factor (5-year) = 3.486 [2016 Journal Citation Reports® (Clarivate Analytics, 2017)] 15. Grimm, K. J. & Liu, Y. (2016). Residual structures in growth models with ordinal outcomes. Structural Equation Modeling: A Multidisciplinary Journal, 23(3), 466-475. 2016 Impact Factor (2-year) = 3.097, Impact Factor (5-year) = 6.214 [2016 Journal Citation Reports® (Clarivate Analytics, 2017)] 16. Liu, Y., & West, S. G. (2016). Weekly cycles in daily report data: An overlooked issue. Journal of Personality, 84(5), 560-579. 2016 Impact Factor (2-year) = 3.590, Impact Factor (5-year) = 4.255 [2016 Journal Citation Reports® (Clarivate Analytics, 2017)] [Jeffrey S. Tanaka Occasional Paper series in quantitative methods for personality] 17. White, R. M. B., Liu, Y., Nair, R. L., & Tein, J. Y. (2015). Longitudinal and integrative tests of family stress model effects on
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