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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

Graduate Courses 
  • ERE 220 Research in Education
  • ERE 289 Statistical Modeling 
  • CI 298A Project: MAE C & I 
  • CI 290 Independent Study 
  • ERE 153 Educational Statistics 
  • ERE 288 Measurement and Evaluation 
Educational Leadership Doctoral Program Courses
  • EDL 504 Advanced Applied Quantitative Methods 
  • EDL 511 Educational Evaluation, Assessment, and Planning 
University of Iowa 
  • 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 and a core faculty member in Educational Leadership Doctoral program at California State University, Fresno. She is currently leading the Steve's Scholars project as a principal investigator, with the support of Fresno Unified School District and collaborating with many scholars on a variety of projects. Her collaborations have been published in high-impact journals like Psychological Methods, Psychological Assessment, Psych, Journal of Personality Assessment, Journal of Experimental Education, Structural Equation Modeling: A Multidisciplinary Journal, etc.
https://orcid.org/0000-0002-7576-2574

Research Gate_Hyeri Hong
personal website

Dr. Hong is a faculty advisor of Fresno State Steve's Scholars Club: Please Join and Support Us! 

Fresno State Steve's Scholars Club

 
Research Interests 
  • Structural Equation Modeling (SEM)
  • Bayesian Estimation
  • Generalizability Theory 
  • Network Analysis 
  • Minority Students' learning 
   Technical Skills
  • Programming Languages: R, SAS, Mplus
  • Software Packages: flexMIRT, SPSS
  • Survey Tools: REDCap, Qualtrics
Grants 

Funded 

Principal Investigator, Steve's Scholars Project Year 2, Fresno Unified School District, Aug 1 2024 - May 31 2025, $32,781


External Evaluator, Project ACCESS, Office of Special Education Programs, the U.S. Department of Education, Fall 2023 – Fall 2027, $1,247,005 (P.I. Dr. Kristina Rios, California State University, Fresno)

Principal Investigator, Demystifying Equity-Minded and Effective Pedagogical Practices in Quantitative Methods Courses, California State University, Fresno July 2024 – June 2025, $5,000

Co-Principal Investigator, Investigating the Interplay between Stress and Quality of Life and  the Potential Mediating Role of Resilience among First-generation Students, California State     University, Fresno July 2024 – June 2025, $5,000

Principal Investigator, Steve's Scholars Project Year 1, 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-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. Rios, K., & Hong, H. (accepted). Examining the Relationship among Knowledge, Parental Stress, and Family Empowerment for Latinx Parents of Children with Intellectual and Developmental Disabilities. American Journal on Intellectual and Developmental Disabilities.
Impact Factor: 2.297

2. Hong, H., & Rios, K. (2024). Assessing the Parenting Stress Index–Short Form (PSI-SF) for Latinx Parents of Children with Intellectual and Developmental Disabilities within Exploratory Structural Equation Modeling (ESEM) and SEM-based Generalizability Theory Frameworks. Psychiatry International, 5(4), 842-866. https://doi.org/10.3390/psychiatryint5040058
Impact Factor: 1.2


3. Gibbs, A. S., Reed, D. K., Hong, H., †Ma, J., Urbanski, D., P. (2024). Synthesis and Meta-Analysis of Oral Language Interventions on the Vocabulary and Listening Comprehension Development of Young Children. Journal of Research in Childhood Education. https://doi.org/10.1080/02568543.2024.2369126
5-Year Impact Factor: 1.8

4. Hong, H., & Vispoel, W.P. (2024). Making the Case for Using Exploratory Structural Equation Modeling Within Biomedical Research. Biomed J Sci & Tech Res, 55(5). BJSTR. MS.ID.008778. Link to the article
Impact Factor: 1.229

5. Hong, H., Vispoel, W.P., & Martinez, A.M. (2024). Applying SEM, Exploratory SEM, and Bayesian SEM to Personality Assessments. Psych 2024, 6, 111–134. https://doi.org/10.3390/psych6010007
2022 Impact Factor: 1.78


6. Vispoel, W. P., Lee, H., Chen, T., & Hong, H. (2023). Analyzing and Comparing Univariate, Multivariate, and Bifactor Generalizability Theory Designs for Hierarchically Structured Personality Traits, Journal of Personality Assessment, DOI: 10.1080/00223891.2023.2268193
5-Year Impact Factor: 3.5

7. 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

8. Vispoel, W. P., Lee, H., & Hong, H. (2023). Applying multivariate generalizability theory to psychological assessments. Psychological Methods.
5-Year Impact Factor: 11.5

9. Vispoel, W. P., Lee, H., & Hong, H. (2023). Analyzing multivariate generalizability theory designs within structural equation modeling frameworks. Structural Equation Modeling: A Multidisciplinary Journal.
5-Year Impact Factor: 8.655

10. Vispoel, W. P., Hong, H., Lee, H., & Jorgensen, T. R. (2023). Analyzing complete generalizability theory designs using structural equation modeling. Applied Measurement in Education.
5-Year Impact Factor: 2.232

11. 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

12. 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. 

13. 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 
5-Year Impact Factor: 3.114

14. 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
5-Year Impact Factor: 6.822

15. 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

16. 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 

2024

1. Hong, H. & Vispoel, W. P. (2024, August). Comparing Factor Analytic Frameworks and Methods for Representation of the Big Five Model. The 2024 American Psychological Association’s (APA) Annual Convention.

2. Vispoel, W. P. & Hong, H. (2024, August). Expanding Multi-facet Generalizability Theory Analyses to Account for Item Wording Effects. The 2024 American Psychological Association’s (APA) Annual Convention.

3. Hong, H. & †Martinez, A. (2024, August). Evaluating and Comparing the Performance of Exploratory and Bayesian Structural Equation Models. The 2024 American Psychological Association’s (APA) Annual Convention.

4. †Zou, Y., Hong, H., & Zou. C. (2024, August). Factors in Perceived Stress Among the Global General Public During the COVID-19 Pandemic. The 2024 American Psychological Association’s (APA) Annual Convention.

5. Rios, K., Rodriguez, C., & Hong, H. (2024, June). A parent advocacy program: Educating Latinx parents of children with intellectual and developmental disabilities. The 2024 DISES International Conference in Panama City, Panama, June 26-28, 2024

6. Hong, H. & †Martinez, A. (2024, April 28). An Introduction to Bayesian Statistics for Psychological Research. Invited Workshop. The 2024 Western Psychological Association (WPA) Annual Meeting, San Francisco, CA, April 23-28, 2024, https://www.wpa2024bayesian.ajmquant.com

7. †Martinez, A. & Hong, H. (2024, April). Examining the Factor Structure of Personality with Bayesian SEM. The 2024 Midwestern Psychological Association (MPA) Annual Meeting, Chicago, IL, April 18-20, 2024

8. Hong, H. (2024, April). The Effects of Estimation Methods and Method Factors in Factor Analytic Techniques. The 2024 Meeting of the National Council on Measurement in Education, Philadelphia, PA, April 11-14, 2024

9. Hong, H. & Balderama, E. (2024, April). Item Wording Effects within Variations of ESEM and BSEM Factor Models. The 2024 Meeting of the National Council on Measurement in Education, Philadelphia, PA, April 11-14, 2024

10. Vispoel, W., Lee, H., Chen, T., & Hong, H. (2024, April). Extent of Reliability Overestimation for Self-reports when Ignoring Sources of Measurement Error. The 2024 Meeting of the National Council on Measurement in Education, Philadelphia, PA, April 11-14, 2024

11. Phan, T. & Hong, H. (2024, April). Measuring students’ critical thinking skill development in online discussions. The 2024 American Educational Research Association (AERA) Annual Meeting, Philadelphia, PA, April 11-14, 2024

12. †Vang, C. & Hong, H. (2024, April). Factors affecting Hmong American college students’ career choice. The 2024 American Educational Research Association (AERA) Annual Meeting, Philadelphia, PA, April 11-14, 2024

13. Hong, H. (2024, April 10). Steve's Scholars, Curriculum and Instruction, California State University, Fresno, CA (Faculty Share Out, Curriculum and Instruction department meeting)

2023 

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.

2022

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

7. 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.

8. 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.

9. 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 

  • 2024 Walter G. Klopfer Award (Given to the best empirical paper published in the Journal of Personality Assessment within a given year), Journal of Personality Assessment, 2025, for the paper “Analyzing and Comparing Univariate, Multivariate, and Bifactor Generalizability Theory Designs for Hierarchically Structured Personality Traits” (4th author). https://www.personality.org/walter-g-klopfer-award

  • Outstanding Faculty Publication, California State University, Fresno, April 2024 
  • 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