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College of Education

Faculty and Staff

Jin Liu, Ph.D.

Title: Clinical Associate Professor, Educational Psychology and Research
Department: Educational and Developmental Science
College of Education
Phone: 803-777-3030
Office: Wardlaw 131
Jin Liu, Ph.D.

Research Interests

Ethics issues in assessment; peer assessment in online courses; applied research in public health; psychometric studies for scales measuring young children's behavioral and emotional problems; applied structural equation modeling.

Selected Publications

Liu, J*., & Gao, R., Guo, S., Haynes, A., Ni, S., & Tang, H. (In press). Examining the associations between educators’ ethics position and ethical judgment in student assessment practices. Studies in Educational Evaluation.

Chezan, L.C., Liu, J*., Cholewicki, J.M., Drasgow, E., Ding, R., & Waman, A. (In press). A psychometric evaluation of the Quality of Life for Children with Autism Spectrum Disorder Scale. Journal of Autism and Developmental Disorders.

Gao, R., Liu, J*., & Burgess, Y. (In Press). An Expanded Ethical Decision-making Model in Resolving Ethical Dilemmas in Assessment. Studies in Educational Evaluation.

Ding, R., He, W., Liu, J., Liu, T., Dan, Z. & Ni, S*. (In press). Interpersonal Regulation Questionnaire (IRQ): Psychometric properties and gender differences in Chinese young adolescents. Psychological Assessment.

Guo, S*., & Liu, J., & Wang, J. (In press). Socio-ecological predictors of latent class typologies of cyberbullying behaviors. Journal of School Violence.

Liu, J*., Guo, S., & Weissman, R., & Li, H. (In press). Investigating factors associated with bullying utilizing latent class analysis among adolescents. School Psychology International.

Wang, J., Liu, J., DiStefano, C*., Pan, G., Gao, R., & Tang, J*. (2021). Utilizing deep learning and over-sampling methods to identify children’s emotional and behavioral risk. Journal of Psychoeducational Assessment. 39(2), 227-241.

Liu, J*., Guo, S., Gao, R., & DiStefano, C. (2020). Investigating school children’s behavioral and emotional problems using pediatric symptoms checklist-17 in a structural equation modeling framework. School psychology international41(3), 257-275.

Wang, J., Gao, R., & Guo, X., Liu, J*. (2020). Factors Associated with Students’ Attitudes Change in Online Peer Assessment – A Mixed Methods Study in a Graduate-level Course. Assessment and Evaluation in Higher Education. 45(5), 714-727.

Gao, R., Liu, J*., Johnson, R., Wang, J., & Hu, L. (2019). Validating an ethical decision-making model of assessment using authentic scenarios. Studies in Educational Evaluation62, 187-196.

Liu, J*., Burgess, Y., DiStefano, C., Pan, F., & Jiang N. (2020). Validating the Pediatric Symptoms Checklist – 17 in the preschool environment. Journal of Psychoeducational Assessment. 38(4), 460-474.

Liu, J*., Guo, X., Gao, R., Fram, P., Ling, Y., Zhang, H., & Wang, J. (2019). Students’ learning outcomes and peer rating accuracy in compulsory and voluntary online peer assessment. Assessment & Evaluation in Higher Education44(6), 835-847.

Dube*, S. R., Liu, J., Fan, A. Z., Meltzer, M. I., & Thompson, W. W. (2019). Assessment of age‐related differences in smoking status and health‐related quality of life (HRQoL): Findings from the 2016 Behavioral Risk Factor Surveillance System. Journal of community psychology47(1), 93-103.

Burgess, Y*., Liu, J., & Ene, M. (2018). Examination of item quality in a state-wide music assessment program using Rasch methodology. Journal of Applied Measurement. 19(4). 370-386.

Liu, J., Jiang, N., & Fan, A.Z*., Weissman, R. (2018). Alternatives in Assessing Mental Healthcare Disparities Using the Behavioral Risk Factor Surveillance System. Health Equity.2(1). 199-205.

Fan, X*., Liu, J., Burgess, Y., & Li, B. (2018). A structural equation modeling analysis of Chinese undergraduate students’ test anxiety. Psychology and Education. 55(2), 27-33.

Liu, J*., DiStefano, C., & Burgess, Y., Wang, J. (2020). Pediatric Symptoms Checklist – 17: Testing measurement invariance of a second-order factor model between boys and girls. European Journal of Psychological Assessment. 36(1), 77.

DiStefano, C*., Liu, J., Jiang, N., & Shi, D. (2018). Examination of the weighted root mean square residual: Evidence for trustworthiness? Structural Equation Modeling: A Multidisciplinary Journal25(3), 453-466.

DiStefano, C*., Liu, J., & Greer, F. (2018). Investigation of questionable data using validity indices and item response theory methods: Examination with a teacher-rating scale. Psychological Assessment. 30(4), 500-511.  

Fan, A.Z*., Liu, J., Kress, H., Gusta, G., Shawa, M., Wadonda-Kabondo, N., & Mercy, J. (2017). Applying structural equation modeling to measure violence exposure and its impact on mental health: Malawi violence against children and young women survey, 2013. Journal of Interpersonal Violence.

Johnson, R.L*., Liu, J., & Burgess, Y. (2017). A model for making decisions about ethical dilemmas in student assessment. Journal of Moral Education. 46(2), 212-229.  

DiStefano, C*., Liu, J., & Burgess, Y. (2017). Investigating the structure of the Pediatric Symptoms Checklist in the preschool setting: A comparison of factor analytic techniques. Journal of Psychoeducational Assessment. 35(5), 494-505.

Liu, J*., Johnson, R.L., & Fan, X. (2016). A comparative study of Chinese and United States pre-service teachers’ perceptions about ethics issues in classroom assessment. Studies in Educational Evaluation. 48, 57-66.

Ling, Y*., Huebner, E. S., Liu, J., Liu, W. L., Zhang, J., & Xiao, J. (2015). The origins of hope in adolescence: A test of a social–cognitive model. Personality and Individual Differences, 87, 307-311.


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