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Kremen School of Education and Human Development

Hyeri Hong

Assistant Professor

Curriculum & Instruction | Office: ED231

hyerihong@mail.fresnostate.edu

Education

  • Ph.D. in Educational Measurement and Statistics, University of Iowa
  • MA in Educational Policy and Leadership Studies, University of Iowa 
  • BA in English Education, Korea University 

Courses Taught

  • ERE 220 Research in Education
  • ERE 289 Statistical Modeling 
  • CI 298A Project: MAE C & I 
  • CI 290 Independent Study 
  • ERE 153 Educational Statistics 
  • EDL 504 Advanced Applied Quantitative Methods (Spring 2024)
  • Design of Experiments - University of Iowa (TA)
  • Correlation and Regression - University of Iowa (TA) 
Dr. Hyeri Hong is an Assistant Professor of Research and Statistics in the Department of Curriculum and Instruction at California State University, Fresno. She is also a core faculty member in  Educational Leadership Doctoral program and a quantitative fellow (Summer 2023 to Spring 2024) in the Educational Leadership Doctoral program research center. She is currently leading the Steve's Scholars project as a principal investigator, with Dean Randy Yerrick, examining the effects of the scholarship on the college years of the scholarship recipients and the lives of the students and their families.


Dr. Hong is one of three Educational Research faculty members affiliated with the Certificate of Advanced Study in Research Methods. 

https://kremen.fresnostate.edu/cert-researchmethods/

https://kremen.fresnostate.edu/cert-researchmethods/apply.html
Research Interests 
  • Structural Equation Modeling (SEM)
  • Bayesian SEM and Exploratory SEM 
  • Causal Inference 
  • Multilevel Modeling 
  • Generalizability Theory 
  • Teacher and Teaching 
  • Minority Students' learning 
   Technical Skills
  • Programming Languages: R, SAS, Mplus
  • Software Packages: flexMIRT, SPSS
  • Survey Tools: REDCap, Qualtrics
Grants 

Principal Investigator, Steve's Scholars Project, Fresno Unified School District, Oct 5 2023 - June 30 2024, $32,371 (with a 3 WTUs course release for Fall 2023 and Spring 2024) (Co P.I.: Dr. Randy Yerrick) 

Co-Principal Investigator, Measuring students’ critical thinking skill development in online discussions, RSCA (Research, Scholarship, and Creative Activity) Grant, California State University, Fresno, Summer 2023 - Spring 2024, $5,000 (P.I.: Dr. Trang Phan) 

Publications 

Journal Papers 

1. Vispoel, W. P., Lee, H., Chen, T., & Hong, H. (2023). Extending applications of generalizability theory-based bifactor model designs. Psych, 5, 545–575. https://doi.org/10.3390/psych5020036

2. Vispoel, W. P., Lee, H., & Hong, H. (in press). Applying multivariate generalizability theory to psychological assessments. Psychological Methods.
5-Year Impact Factor: 11.5

3. Vispoel, W. P., Lee, H., & Hong, H. (in press). Analyzing multivariate generalizability theory designs within structural equation modeling frameworks. Structural Equation Modeling: A Multidisciplinary Journal.
5-Year Impact Factor: 8.655

4. Vispoel, W. P., Hong, H., Lee, H., & Jorgensen, T. R. (in press). Analyzing complete generalizability theory designs using structural equation modeling. Applied Measurement in Education.
5-Year Impact Factor: 2.232

5. Vispoel, W. P., Hong, H., & Lee, H. (2023). Benefits of doing generalizability theory analyses within Structural Equation Modeling frameworks: Illustrations using the Rosenberg Self-Esteem Scale. Structural Equation Modeling: A Multidisciplinary Journal. 
5-Year Impact Factor: 8.655

6. Vispoel, W. P., Lee, H., Chen, T., & Hong, H. (2023). Using Structural Equation Modeling to Reproduce and Extend ANOVA-based Generalizability Theory Analyses for Psychological Assessments. Psych. 

7. Vispoel, W.P., Lee, H., Xu, G., & Hong, H. (2022). Integrating bifactor models of personality into a G-theory based SEM framework. Journal of Experimental Education. DOI:10.1080/00220973.2022.2092833 

8. Vispoel, W. P., Lee, H., Xu, G., & Hong, H. (2022). Instructional Online Supplement to “Integrating bifactor models of personality into a G-theory based SEM framework.” Journal of Experimental Education. DOI:10.1080/00220973.2022.2092833
Impact Factor now 2.623
5-Year Impact Factor: 3.114

9. Vispoel, W. P., Lee, H., Xu, G., & Hong, H. (2022). Expanding bifactor models of psychological traits to account for multiple sources of measurement error. Psychological Assessment. Advance online publication. http://dx.doi.org/10.1037/pas0001170

10. Vispoel, W. P., Lee, H., Xu, G., & Hong, H. (2022). Instructional Online Supplement to “Expanding bifactor models of psychological traits to account for multiple sources of measurement error.” Psychological Assessment. Advance online publication. http://dx.doi.org/10.1037/pas0001170
Impact Factor now 6.083
5-Year Impact Factor: 6.822

11. Hong, H., & Hamot, G. E. (2020). Differential Effects of State Testing Policies and School Characteristics on Social Studies Teachers’ Gatekeeping Autonomy: A Multi-level Model. Theory and Research in Social Education 48(1), 74-100. DOI: 10.1080/00933104.2019.1655508 [SSCI]
Impact Factor now 3.256
5-Year Impact Factor: 3.933

12. Hong, H., & Hamot, G. E. (2015). The Associations of Teacher Professional Characteristics, School Environmental Factors, and State Testing Policy on Social Studies Educators’ Instructional Authority. Journal of Social Studies Research 39, 225-241. [SCOPUS]
Impact Factor now: 1.26 

Book Chapters 

1. Hamot, G. E., Hlebowitsh, P. S., Hong, H., & Leitz, K. R. (2013). Social studies educators and the factors of race and ethnicity in the differential exercise of classroom authority. In Passe, J., & Fitchett, P. (Eds.), Research on the status of social studies: Views from the field (pp. 129-140). Charlotte, NC: Information Age Publishing. 

Selected Presentations 

1. Hong, H., Vispoel, W. P., Lee, H., & Chen, T. (2023, August). Extending Univariate Generalizability Theory Designs Using Structural Equation Models. The 2023 American Psychological Association’s (APA) Annual Convention.

2. Vispoel, W. P., Lee, H., Hong, H., & Chen, T. (2023, August). SEM versus ANOVA approaches to Analyzing Multivariate G-Theory Designs for Psychological Assessments. The 2023 American Psychological Association’s (APA) Annual Convention.

3. Lee, H., Vispoel, W. P., Hong, H. & Chen, T. (2023, August). Reliability of Full and Shortened Forms of the IPIP-BFM from Conventional and G-theory Perspectives. The 2023 American Psychological Association’s (APA) Annual Convention.

4. Lee, H., Vispoel, W. P., Hong, H. & Chen, T. (2023, August). A Multi-occasion Bifactor Analysis of Within-Domain Facet Scores from the IPIP-NEO-120 Inventory. The 2023 American Psychological Association’s (APA) Annual Convention.

5. Hong, H., Vispoel, W. P., Lee, H.,& Chen, T., (2023, August). Accounting for Item-Wording Effects when Evaluating Consistency of Self-Report Measure Scores. The 2023 American Psychological Association’s (APA) Annual Convention.

6. Chen, T., Lee, H., Vispoel, W. P., & Hong, H. (2023, August). A Latent State-Trait Analyses of Responses to the Positive and Negative Affect Schedule. The 2023 American Psychological Association’s (APA) Annual Convention.

7. Hong, H., & Vispoel, W. P (2023, March). Negative Wording Effects within Variations of Conventional, ESEM, and BSEM Factor Models. The 2023 Meeting of the National Council on Measurement in Education.

8. Hong, H., Vispoel, W. P., & Lee, H. (2023, March). Benefits of Doing Generalizability Theory Analyses within SEM Frameworks. The 2023 Meeting of the National Council on Measurement in Education.

9. Lee, H., Vispoel, W. P., & Hong, H. (2023, March). Comparing Multivariate, Bifactor, and Univariate Generalizability Theory Methods for Estimating Score Consistency. The 2023 Meeting of the National Council on Measurement in Education.

10. Vispoel, W. P., Lee, H., & Hong, H. (2023, March). Doing Multivariate Generalizability Theory Analyses within Structural Equation Modeling Frameworks. The 2023 Meeting of the National Council on Measurement in Education.

11. Vispoel, W. P., Lee, H., & Hong, H. (2023, March). Extending Bifactor Models to Account for Multiple Sources of Measurement Error. The 2023 Meeting of the National Council on Measurement in Education.

12. Hong, H., & Vispoel, W. P. (2023, April). Finding Optimal Factor Analytic Representations of the Structure of Personality [Division D Poster Session]. The 2023 American Educational Research Association (AERA) Annual Meeting.

13. Hong, H., & Vispoel, W. P. (2022, August). ESEM, Bayesian Estimation, and Method Effects in Common Factor Models of Personality. The 2022 American Psychological Association’s (APA) Annual Convention.

14. Hong, H., Vispoel, W. P., Lee, H. (2022, August). A Latent State-trait Analysis of Responses to the Rosenberg Self-Esteem Scale. The 2022 American Psychological Association’s (APA) Annual Convention.

15. Lee, H., Vispoel, W. P., Hong, H. (2022, August). Score Consistency for BFI versus BFI-2 Scores from Conventional and G-theory Perspectives.The 2022 American Psychological Association’s (APA) Annual Convention.

16. Vispoel, W. P., Lee, H., Hong, H. (2022, August). Expanding Bifactor Models of Personality to Account for Multiple Sources of Measurement Error. The 2022 American Psychological Association’s (APA) Annual Convention.

17. Vispoel, W. P., Hong, H., Lee, H. (2022, August). Evaluating Jorgensen’s Procedure for Estimating Relative and Absolute Error in G-theory Designs. The 2022 American Psychological Association’s (APA) Annual Convention.

18. Vispoel, W. P., Hong, H., Lee, H., Xu, G. (2022, April). Accuracy of Absolute Error Estimates within a G-theory SEM Framework. The 2022 Meeting of the National Council on Measurement in Education.

19. Vispoel, W. P., Lee, H., Xu, G., & Hong, H. (2022, April). Integrating Bifactor Models into G-Theory Frameworks. The 2022 Meeting of the National Council on Measurement in Education.

20. Hong, H. (2022, April). The Effects of High-Stakes Accountability on Instructional Practices: Propensity Score Weighting and Structural Equation Modeling [Division H Poster session]. The 2022 American Educational Research Association (AERA) Annual Meeting.

21. Hong, H., & Susadya L. (2022, April). Collider bias: Exploring fidelity of implementation in causal inference frameworks [Division D Paper session]. The 2022 American Educational Research Association (AERA) Annual Meeting.


Academic Honors and Awards 
  • The APA Assessment Community Student Poster Award, American Psychological Association, August 2022
  • Dean’s Graduate Student Travel Award, University of Iowa, May 2022
  • Audrey Qualls Travel Award, University of Iowa, May 2022
  • Graduate College Summer Fellowship, University of Iowa, Summer 2022
  • Robert L. Brennan Graduate Student Award, University of Iowa, 2022
  • Research Award, Educational Measurement and Statistics, University of Iowa, Iowa City, IA 2022
  • Research Award, Educational Measurement and Statistics, University of Iowa, Iowa City, IA 2021
  • Research Award, Educational Measurement and Statistics, University of Iowa, Iowa City, IA 2020
  • Research Award, Educational Measurement and Statistics, University of Iowa, Iowa City, IA 2019
  • NCME Special Conference Grant Award, University of Kansas, Lawrence, KS 2018