Yan Wang

Yan Wang, Ph.D.

Associate Professor

College
College of Fine Arts, Humanities and Social Sciences
Department
Psychology
Phone
978-934-3912
Office
Coburn 340C

Research Interests

Finite mixture modeling, structural equation modeling, multilevel modeling, Bayesian analysis

Education

  • Ph D: Measurement & Research, (2018), University of South Florida - Tampa, Fla.
    Supporting Area: Educational Psychology
    Dissertation/Thesis Title:Covariates in factor mixture modeling: Investigating measurement invariance across unobserved groups

  • MA: Curriculum and Instruction, (2013), Boston College - Boston, Mass.

  • BA: English Literature, (2011), Xiamen University - Xiamen, China

  • BS: Economics, (2011), Xiamen University - Xiamen, China

Selected Awards and Honors

  • Teaching Excellence Award (2022) -聽University of Massachusetts Lowell
  • Leslie C. Robbins Dean鈥檚 Excellence Award (2016) - University of South Florida
  • Conference Presentation Travel Grant (2015) - SouthEast SAS Users Group (SESUG)
  • University Graduate Fellowship Award (2013) - University of South Florida
  • Dean鈥檚 Scholarship (2011) - Boston College
  • National Scholarship (2008) - Xiamen University

Selected Publications

  • Wang, Y., Kim, E., Joo, S-H., Chun, S., Alamri, A., Lee, P., & Stark, S. (2022). Journal of Experimental Education, 90(1), 158-172. [IF = 2.623; 5-year IF = 3.114]
  • Wang, Y., Kim, E., & Yi, Z. (2022). . Educational and Psychological Measurement, 82(1), 5-28. [IF = 2.821; 5-year IF = 3.279]
  • Bugos, J., & Wang, Y. (2022). . Journal of Gerontology: Psychological Sciences. Advance online publication. [IF = 4.077; 5-year IF = 5.060]
  • Joo, S-H., Wang, Y., Ferron, J. M., Moeyaert, M., Beretvas, S. N., & van den Noortgate, W. (2022). . Journal of Educational and Behavioral Statistics, 47(2), 131-166. [IF = 3.288; 5-year IF = 4.387]
  • Kim, E., Nguyen, D., *Liu, S., & Wang, Y. (2022). . Structural Equation Modeling: A Multidisciplinary Journal, 29(2), 207-217. [IF = 6.125; 5-year IF = 8.372]
  • Shen, J., & Wang, Y. (2022). . Archives of Physical Medicine and Rehabilitation. Advance online publication. [IF = 3.966; 5-year IF = 3.507]
  • Shen, J., Wang, Y., *Kurpad, N., & *Schena, D. (2022). . Prevention Science, 23, 366-377. [IF = 3.103; 5-year IF = 3.361]
  • *Yi, Z., Chen, Y.-H., *Yin, Y., *Cheng, K., Wang, Y., *Nguyen, D. T., Pham, T. V., & Kim, E. S. (2022). . Journal of Experimental Education, 90(2), 505-520. [IF = 2.623; 5-year IF = 3.114]
  • Wang, Y., Hsu, H.-Y., & Kim, E. (2021). . Structural Equation Modeling: A Multidisciplinary Journal, 28(5), 716-724. [IF = 6.125; 5-year IF = 8.372]
  • Wang, Y., Kim, E., Ferron, J. M., Dedrick, R., Tan, T. X., & Stark, S. (2021). . Educational and Psychological Measurement, 81(1), 61-89. [IF = 2.821; 5-year IF = 3.279]
  • Chenane, J. L., Wright, E. M., & Wang, Y. (2021). . Victims & Offenders, 16(4), 495-518. [IF = 1.789; 5-year IF = 2.373]
  • *Jenkins, A., *Thoman, S., Wang, Y., von der Embse, N., Kilgus, S., & Reynolds, F. (2021). . Psychology in the Schools, 58(11), 2225-2237. [IF = 1.774]
  • Ramlackhan, K., & Wang, Y. (2021). . Urban Education. Advance online publication. [IF = 4.382; 5-year IF = 4.655]
  • Tan, T. X., Wang, Y., *Hao, S-W, & Li, Y. (2021). . American Journal of Orthopsychiatry, 91(5), 671-681. [IF = 1.769; 5-year IF = 2.629]
  • *Yi, Z., Wang, Y., & Tan, T. X. (2021). . Journal of Psychopathology and Behavioral Assessment, 43, 376-387. [IF = 2.645; 5-year IF = 3.479]
  • Zhang, F. F., Wang, Y., McCabe, A., & Fan, H. H. (2021). . Lingua: International Review of General Linguistics, 260, 1-13. [IF = 0.643; 5-year IF = 0.975]
  • Kim, E., Wang, Y., & *Liu, S. (2020). . Structural Equation Modeling: A Multidisciplinary Journal, 27(6), 918-930. [IF = 3.638; 5-year IF = 5.993]
  • *Pham, T. V., Kromrey, J. D., Chen, Y-H., Kim, E. S., *Nguyen, D. T., & Wang, Y. (2020). . Journal of Statistical Software, Code Snippets, 95(2), 1-16. [IF = 13.642; 5-year IF = 21.629]
  • *Nguyen, D. T., Kim, E. S., Wang, Y., *Pham, T. V., Kromrey, J., & Chen, Y-H. (2019). . Journal of Modern Applied Statistical Methods, 18(2), eP2906.
  • Tan, X. T., *Yi, Z., Kamphaus, R., Wang, Y., *Li, Z., & *Cheng, K. (2019). . Journal of Psychoeducational Assessment, 38(5), 599-612. [IF = 1.256; 5-year IF = 1.626]
  • Zhang, F., McCabe, A., Ye, J., Wang, Y., & Li, X. (2019). . Journal of Psycholinguistic Research, 48(2), 477-500. [IF = .655; 5-year IF = .791]
  • Wang, Y., *Pham, T. V., *Nguyen, D. T., Kim, E. S., Chen, Y-H., Kromrey, J. D., *Yi, Z., & *Yin, Y. (2018). . Journal of Modern Applied Statistical Methods, 17(2), eP2701.
  • Kim, E. S. & Wang, Y. (2018). . Structural Equation Modeling: A Multidisciplinary Journal, 26(2), 165-181. [IF = 4.426; 5-year IF = 6.742]
  • Tan, T. X., Wang, Y., Cheah, C., & Wang, G. H. (2018). . Sleep Health: Journal of the National Sleep Foundation, 4(1), 104-109.
  • Wang, Y., Kim, E. S., Dedrick, R., Ferron, J., & Tan, T. X. (2017). . Educational and Psychological Measurement, 78(2), 253-271.
  • Tan, T. X., Wang, Y., & Ruggerio, A. (2017). . Journal of Child and Family Studies, 26(10), 2742-2752.
  • Kim, E. S., Wang, Y. (2017). . Frontiers in Psychology,8(1499).
  • Wang, Y., Rodriguez de Gil, P., Chen, Y-H., Kromrey, J. D., Kim, E. S., Nguyen, D. T., Pham, T. V., Romano, J. (2017). . Educational and Psychological Measurement,77(2) 305-329.
  • Wang, Y., Kim, E.S. (2017). . Structural Equation Modeling: A Multidisciplinary Journal,24(5) 699-713.
  • Kim, E. S., Cao, C., Wang, Y., Nguyen, D. T. (2017). . Structural Equation Modeling: A Multidisciplinary Journal,24(4) 524-544.
  • St. John Walsh, A., Wesley, K. L., Tan, S. Y., Lynn, C., Wang, Y., O'Leary, K.,聽Rodriguez, C.A., et. al. (2017). . AIDS Care,29(7) 851-857.
  • Kim, E. S., Wang, Y., & Kiefer, S. (2017). . Educational and Psychological Measurement, 78(6), 973-997.
  • Li, I., Chen, Y-H., Wang, Y., Rodriguez de Gil, P., Pham, T. V., Nguyen, D. T., Kromrey, J. D., et. al. (2017). . Journal of Modern Applied Statistical Methods, 16(2), 506-539.
  • Kim, E. S., Joo, S-H., Lee, P., Wang, Y., & Stark, S. (2016). . Structural Equation Modeling: A Multidisciplinary Journal, 23(6), 870-887
* indicates graduate student co-author

Selected Presentations

  • Wang, Y. (2022 April). Incorporating machine learning into factor mixture modeling: identification of covariate interactions to explain population heterogeneity. Paper presented in an invited session for Division D Mini-Grant Awardees at the annual meeting of American Educational Research Association.
  • *Karaca, M., Geraci, L., & Wang, Y. (2022 April). Do older adults remember more positive memories when they feel older than their chronological age? Paper presented at the 2022 Cognitive Aging Conference.
  • Cao, C., Wang, Y., & Kim, E. (2022 April). Multilevel factor mixture modeling: illustrations for multilevel constructs. Paper presented at the annual meeting of American Educational Research Association.
  • Ramlackhan, K. & Wang, Y. (2022 January). Impact of school leadership on student achievement: An equity and social justice framed analysis. Paper presented virtually at the annual convention of the International Congress for School Effectiveness and Improvement.
  • Kim, E., Cao, C., *Liu, S., & Wang, Y. (2021 November). Testing measurement invariance over time in intensive longitudinal data: Demonstration of four approaches. Paper presented at the Florida Educational Research Association.
  • *Armagan, M., Ho, I., & Wang, Y. (2021 August). Perceptions about refugees and other out-group members in the US: A Latent Class Analysis. Poster presented at the American Psychological Association (APA).
  • Wang, Y., Hsu, H.-Y., & Kim, E. (2021 April). Investigating impact of covariate inclusion on sample size requirements of factor mixture modeling. Paper presented at the annual meeting of American Educational Research Association (AERA).
  • Wang, Y., Cao, C., & Kim, E. (2021 April). Evaluating performance of factor mixture modeling and MIMIC in measurement invariance testing with multiple covariates. Paper presented at the annual meeting of American Educational Research Association (AERA).
  • *Sutherland, K. T., Smalarz, L., Wilford, M. M., Wang, Y., & Pascale, M. (2021 March). Does knowledge of coercive plea offers reduce the tendency to infer guilt from a guilty plea? Poster accepted for presentation at the meeting of the American Psychology-Law Society.
* indicates graduate student co-author

Selected Contracts, Fellowships, Grants and Sponsored Research

  • Virtual Reality-based Rehabilitation for Children with Traumatic Brain Injuries (R00 Phase) (2020), Grant - Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
    Shen, J. (Principal), Wang, Y. (Co-Investigator)