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- Educational Psychology
- Office: Wist Hall 208
- Telephone: (808) 956-4295
- Fax: (808) 956-6615
- Email: minliu@hawaii.edu
Areas of Expertise: Measurement, Evaluation & Assessment
Interests: Multilevel modeling; Multivariate methods; Structural equation modeling, with an emphasis in studying observed and latent group differences in social and behavioral sciences
Degrees (1)
Year
Degree
Major
Institute
2011
Ph.D
Measurement, Statistics, and Evaluation
University of Maryland, College Park
Book Chapters (1)
- Hancock, G. R., & Liu, M. (2012). Bootstrapping Standard Errors and Data–Model Fit Statistics in Structural Equation Modeling. In R. H. Hoyle (Ed.), Handbook of Structural Equation Modeling. Guilford Press.
Journal Articles (12)
- Cheng, B., Fan, A., & Liu, M. (2017). Trends, Reasons and Impacts of International Student Mobility: A Chinese Perspective. Frontiers of Education in China, 12(3).
- Liu, M., Harbaugh, A. G., Harring, J., & Hancock, G. (2017). The effect of extreme response and non-extreme response styles on testing measurement invariance. Frontiers in Psychology, 8, 726.
- Murphy, K. L., Liu, M., & Herzog, T. A. (2017). Confirmatory factor analysis and structural equation modeling of socio-cultural constructs among chamorro and non-chamorro micronesian betel nut chewers. Ethnicity & Health.
- Wang, W.-L., Liu, M., & Lin, T.-I. (2017). Robust skew-t factor analysis models for handling missing data. Statistical Methods & Applications, 26(4), 649–672.
- Zheng, D., Schmidt, M., Hu, Y., Liu, M., & Hsu, J. (2017). Eco-dialogical learning and translanguaging in open-ended 3D virtual learning environments. Australasian Journal of Educational Technology, 33(5), 107–122.
- Galloway, J. C., Nigg, C., Liu, M., & Banna, J. (2015). Predictors of Change in Physical Activity and Fruit and Vegetable Intake in a Multiethnic Population in Hawaii at 6 and 12 Months Follow-up. International Journal of Applied Psychology, 5(2), 45–53.
- Liu, M., & Lin, T.-I. (2015). Skew-normal factor analysis models with incomplete data. Journal of Applied Statistics, 42, 789–805.
- Zheng, D., & Liu, M. (2015). An eco-dialogical study of second language learners' World of Warcraft (WoW) gameplay. Language Sciences, 48, 22–41.
- Collins, C. S., & Liu, M. (2014). Greek Environments: An update on the effects of fraternities and sororities on health-related behaviors. Journal of College and Character, 15, 87–102.
- Liu, M., & Hancock, G. R. (2014). Unrestricted mixture model for class identification in growth mixture modeling. Educational and Psychological Measurement, 74, 557–584.
- Liu, M., & Lin, T.-I. (2014). A skew-normal mixture regression model. Educational and Psychological Measurement, 74, 139–162.
- Liu, M., Hancock, G. R., & Harring, J. R. (2011). Using finite mixture modeling to deal with systematic measurement error: A case study. Journal of Modern Applied Statistical Methods, 10, 248–261.
Presentations (3)
- Liu, M., & Lin, T. I. (2013). Mixture regression model with skew-normal errors. Presented at American Educational Research Association, San Francisco, CA.
- Liu, M., & Hancock, G. R. (2012). Using joint criteria for class enumeration in growth and mixture modeling. Presented at American Educational Research Association Annual Meeting, Vancouver, British Columbia, Canada.
- Liu, M., & Hancock, G. R. (2011). The impact of model selection on mixture model parameter estimate bias and variability: The case of growth mixture models. Presented at Annual meeting of the American Educational Research Association, New Orleans, LA.