Award: 2025 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 https://www.personality.org/walter-g-klopfer-award
Funded
Co-Principal Investigator, Enhancing Parental Support, Empowerment, and Knowledge for Latinx Families of Children with Intellectual and Developmental Disabilities (IDD), Chancellor's Office Transdisciplinary Research, Scholarly, and Creative Activities Awards 2025-2026 (CORSCA), California State University, Fresno, July 1, 2025 - June 30, 2026, $25,000 (P.I. Dr. Kristina Rios, California State University, Fresno) [Highly competitive award: One of only 5 recipients selected campus-wide]
Principal Investigator, Turning Fear into Knowledge: A Path to Equity in Statistics Education, Provost's Research, Scholarly, and Creative Activities Awards 2025-2026 (PRSCA), California State University, Fresno, July 1, 2025 - June 30, 2026, $15,000 (Co-PIs Dr. Christian Wandeler and Dr. Ryan Ditchfield, California State University, Fresno) [Highly competitive award: One of only 14 recipients selected campus-wide]
External Evaluator, Project ACCESS, the U.S. Department of Education, Fall 2023 - Fall 2027, $1,247,005 (P.I. Dr. Kristina Rios, Co-PI: Dr. Michael Mahoney, California State University, Fresno)
Principal Investigator, Steve’s Scholars Year 2, Fresno Unified School District, Fresno, Aug 1, 2024 – May 31, 2025, $32,789
Principal Investigator, Demystifying Equity-Minded and Effective Pedagogical Practices in Quantitative Methods Courses, California State University, Fresno, July 1 2024 – June 30 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 1 2024 – June 30, 2025, $5,000
Principal Investigator, Steve’s Scholars Year 1, Fresno Unified School District, Fresno, October 5, 2023 – June 30, 2024, $32,371
Co-Principal Investigator, Measuring students’ critical thinking skill development in online discussions, California State University, Fresno, July 1, 2023 - June 30, 2024, $5,000
Unfunded
Statistician, A Randomized Controlled Trial of an Advocacy Programs for Latinx Families of Autistic Children, Organization for Autism Research (OAR), $47,912.68
Principal Investigator, Assessing the Cultural Responsiveness of the Parenting Stress Index–Short Form for Latinx Parents of Children with Disabilities, National Council on Measurement in Education Mission Fund Grant, 2025 – 2026, $20,000 (second P.I. Dr. Kristina Rios, California State University, Fresno)
Submitted
Principal Investigator, Enhancing Parental Support and Empowerment for Latinx Families of Children with Intellectual and Developmental Disabilities, Spencer Vision Grant, 2025 – 2026, $75,000 (Co-P.I. Dr. Kristina Rios, California State University, Fresno)
Co-Principal Investigator, AI-Empowered Research Literacy: Cultivating Critical and Ethical Use of AI in Statistics and Research Courses, CSU AI Educational Innovations Challenge, 2025- 2026, $60,000 (P.I. Dr. Christian Wandeler, California State University, Fresno)
21. Hong, H., & Rios, K. (in press). Exploring the Benefits of Bayesian Structural Equation Modeling in Assessing Parenting Stress among Latinx Parents of Children with Disabilities. International Review of Research in Developmental Disabilities. Advancing Equity and Empowerment Volume 68.
20. Rios, K., & Hong, H. (2025). What affects defensive responding?: Investigating the effects of parental stress, knowledge, and family empowerment on defensive response in Latinx families of children with disabilities. International Journal of Developmental Disabilities, 1–11. https://doi.org/10.1080/20473869.2025.2546625
19. Hong, H., & Rios, K. (2025). Unpacking Key Dimensions of Family Empowerment Among Latinx Parents of Children with Intellectual and Developmental Disabilities Using Exploratory Graph Analysis: Preliminary Research. Psychiatry International, 6(3), 96. https://doi.org/10.3390/psychiatryint6030096
18. Hong, H., Ditchfield, R. E., & Wandeler, C. (2025). Uncovering the Psychometric Properties of Statistics Anxiety in Graduate Courses at a Minority-Serving Institution: Insights from Exploratory and Bayesian Structural Equation Modeling in a Small Sample Context. AppliedMath, 5(3), 100. https://doi.org/10.3390/appliedmath5030100
17. Rios, K., & Hong, H. (2025). 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. Advance Online Publication. http://aaidd.org/publications/journals/articles-accepted-for-publication
Impact Factor: 2.297
16. Hong, H., & Rios, K. (2024). Assessing the Parenting Stress Index–Short Form for Latinx Parents of Children with Intellectual
and Developmental Disabilities with Exploratory Structural Equation Modeling and Structural Equation Modeling based
Generalizability Theoretical Frameworks. Psychiatry International,5(4), 842- 866.
https://doi.org/10.3390/psychiatryint504005
Impact Factor: 1.2
15. 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.1-25. https://doi.org/10.1080/02568543.2024.2369126
5-Year Impact Factor: 1.8
14. 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.
Impact Factor: 1.229
13. Hong, H., Vispoel, W.P., & †Martinez, M. (2024). Applying SEM, Exploratory SEM, and Bayesian SEM to Personality Assessments. Psych, 6(1), 111-134. https://doi.org/10.3390/psych6010007
Impact Factor: 1.2
12. 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: 2.1
11. 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
Award: 2025 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 https://www.personality.org/walter-g-klopfer-award
10. 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
2022 Impact Factor: 1.78
9. Vispoel, W. P., Lee, H., Hong, H., & Chen, T. (2023). Applying multivariate generalizability theory to psychological assessments. Psychological Methods. https://dx.doi.org/10.1037/met0000606
5-Year Impact Factor: 11.5
8. 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: 7.1
7. 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, 31(1), 165-181. https://doi.org/10.1080/10705511.2023.2187734
5-Year Impact Factor: 7.1
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, 5(2), 249–273. http://dx.doi.org/10.3390/psych5020019
2022 Impact Factor: 1.78
5. Vispoel, W. P., Lee, H., Xu, G., & Hong, H. (2023). Integrating bifactor models of personality into a G-theory based SEM framework. Journal of Experimental Education. 1- 35.
Impact Factor now 2.623
5-Year Impact Factor: 3.114
4. Vispoel, W. P., Lee, H., Xu, G., & Hong, H. (2022). 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, 34(12), 1093–1111. https://doi.org/10.1037/pas0001170
Impact Factor now 6.083
5-Year Impact Factor: 6.822
3. 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]
2021 Impact Factor 3.256
5-Year Impact Factor: 3.933
2. 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]
Cite Score: 2.3
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.
Works Under Review
Phan, T., & Hong, H. (accepted with revisions). Measuring students’ critical thinking skill development in online discussions.
Rios, K., Rodrigues, C., & Hong, H. (under review). Empowering Latinx families: Evaluating a parent advocacy program on special education participation and outcomes.
Hong, H., & Rios, K. (under review). Empowering Latinx Parents of Children with Disabilities: FIRME Program Outcomes.
Vispoel, W., Hong, H., Lee, H., & Chen, T. (under review). Estimating Item Wording Effects in Self-Report Measures using G-theory based SEMs: Illustrations Using the Self-Description Questionnaire-III.
Liu, Y., & Hong, H. (under review). The roles of social and institutional support in career engagement: Testing the social cognitive model of career self-management among first-generation college students.
Hong, H., & Rios, K. (revise and resubmit). Exploring the Psychometric Properties of the Family Empowerment Scale Among Latinx Parents of Children with Disabilities: An Exploratory Structural Equation Modeling Analysis.
Hong, H., & Rios, K. (revise and resubmit). Identifying the Central Aspects of Parental Stress in Latinx Parents of Children with Disabilities via Network Analysis.
Hong, H. (2025, May 16). Unlock your potential: Steps to Smart Career Planning and Application of Intro Statistics. Invited 1.5-Hour Online Workshop for Korean High School Students. Seoul Metropolitan Office of Education, Seoul, South Korea.
Hong, H. & Moran, M. (2025, March 14). Diversity, Access, and Success: Evaluating the Role of the Steve’s Scholars Program in Supporting Marginalized Students. 50- Minute Workshop. Higher Education and Student Affairs in the Central Valley (HESACV) Conference. Fresno, CA, March 14, 2025.
Hong, H. (2024, Nov 13). Quantitative Analysis Toolbox 2: One-Way ANOVA in R. Invited 1.5-Hour Workshop. Educational Leadership Doctoral Program Research Center, Kremen School of Education and Human Development, California State University, Fresno.
Hong, H. (2024, Nov 6). Quantitative Analysis Toolbox 1: Descriptive Statistics and T-Tests in R. Invited 1.5-Hour Workshop. Educational Leadership Doctoral Program Research Center, Kremen School of Education and Human Development, California State University, Fresno.
Hong, H. (2024, Oct 16). So you want to conduct a quantitative study? #Where to begin. Invited 1.5-Hour Workshop. Educational Leadership Doctoral Program Research Center, Kremen School of Education and Human Development, California State University, Fresno.
Hong, H. (2024, July 3). Quantitative Research Design Session: So you want to conduct a quantitative study/dissertation? Where to begin. Invited 1.5-Hour Workshop. Educational Leadership Doctoral Program Research Center, Kremen School of Education and Human Development, California State University, Fresno.
Hong, H. & Martinez, A. (2024, April 28). An Introduction to Bayesian Statistics for Psychological Research. Invited 2-Hour Workshop. The 2024 Western Psychological Association (WPA) Annual Meeting.
Hong, H. (2023, August 22), Quantitative Workshop Series: Qualtrics 2. Invited 2-Hour Workshop. Educational Leadership Doctoral Program Research Center, California State University, Fresno.
Hong, H. (2023, July 26), Quantitative Workshop Series: Qualtrics 1. Invited 1-Hour Workshop. Educational Leadership Doctoral Program Research Center, California State University, Fresno.
† a graduate student
Hong, H. & Rios, K. (August 9, 2025). Using Exploratory Graph Analysis to Identify Latinx Parents' Stress about Children with Disabilities.The 2025 American Psychological Association’s (APA) Annual Convention.
Hong, H. (August 9, 2025). Promoting Equity: A Program Evaluation of the Steve’s Scholars Program for Underrepresented Students.The 2025 American Psychological Association’s (APA) Annual Convention.
†Han, K., Hong, H., & Martinez, A. (August 9, 2025). Comparing Factor Structures of IPIP-NEO-120 and IPIP-HEXACO Using Exploratory Graph Analysis. The 2025 American Psychological Association’s (APA) Annual Convention.
Hong, H. & Rios, K. (April 26, 2025). Validating the Parenting Stress Index for Latinx Parents of Children with Disabilities. The 2025 Meeting of the National Council on Measurement in Education. Denver, CO, April 23 - 26, 2025.
Hong, H. & Vispoel, W. P. (April 26, 2025). Applying Multivariate Generalizability Theory to Personality Assessments within Structural Equation Modeling Frameworks. The 2025 Meeting of the National Council on Measurement in Education. Denver, CO, April 23 - 26, 2025.
Vispoel, W. P. & Hong, H. (April 26, 2025). Using G-theory-based Structural Equation Models to Account for Item Wording Effects. The 2025 Meeting of the National Council on Measurement in Education. Denver, CO, April 23 - 26, 2025.
Hong, H., †Han, K., & Martinez, A. (April 25, 2025). Evaluating the Effects of Different Informative Priors on Bayesian SEM Model Fit for Personality Measures. The 2025 Meeting of the American Educational Research Association (AERA) Annual Meeting. Denver, CO, April 23 - 27, 2025.
†Lemus, G., & Hong. H. (April 23, 2025). Impacts of Dual Immersion Programs. 46th Annual Central California Research Symposium. Fresno, CA, April 23, 2025.
Hong, H. & Rios, K. (April 8, 2025). Examining the Relationship among Knowledge, Parental Stress, and Family Empowerment for Latinx Parents of Children with Intellectual and Developmental Disabilities. The 2025 Gatlinburg Conference. San Diego, CA, April 7-10, 2025.
Rios, K. & Hong, H. (April 8, 2025). What Affects Defensive Responding?: Investigating the Effects of Parental Stress, Knowledge, and Family Empowerment on Defensive Response in Latinx Families of Children with Disabilities. The 2025 Gatlinburg Conference. San Diego, CA, April 7-10, 2025.
Dedeoglu, Y. N. & Hong, H. (April 4, 2025). The Impact of Nonfamilial Factors on Academic Performance in Maltreated and At-Risk Teens. Kremen Spring Research Symposium. California State University, Fresno.
Hong, H. (April 4, 2025). Driving Inclusive Excellence: The Role of the Steve's Scholars Program in Supporting Underrepresented Students. Kremen Spring Research Symposium. California State University, Fresno.
Hong, H. & Moran, M. (2025, March 14). Diversity, Access, and Success: Evaluating the Role of the Steve’s Scholars Program in Supporting Marginalized Students. Higher Education and Student Affairs in the Central Valley (HESACV) Conference. Fresno, CA, March 14, 2025.
Hong, H. & Rios, K. (2025, Feb 25). Unpacking the Dynamics of Parenting Stress, Knowledge, and Family Empowerment in Latinx Families of Children with Intellectual and Developmental Disabilities: SEM, G-theory, and Regression Perspectives. 1 hour Brown Bag Talk. Kremen Research Center, Kremen School of Education and Human Development, California State University, Fresno.
†a graduate student
Hong, H. & Kim, B.J. (2024, November 8). Demystifying Equity-Minded and Effective Pedagogical Practices in Quantitative Methods Courses, The 2024 Fall Kremen Research Symposium, Kremen School of Education and Human Development, California State University, Fresno
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.
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.
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.
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.
Hong, H. (2024, July 3). Quantitative Research Design Session: So you want to conduct a quantitative study/dissertation? Where to begin. Invited Workshop. Educational Leadership Doctoral Program Research Center, Kremen School of Education and Human Development, California State University, Fresno.
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
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/start/
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
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
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
Vispoel, W., Hong, H., Lee, H., & Chen, T. (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
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
†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
Hong, H. (2024, April 10). Steve's Scholars, Curriculum and Instruction, California State University, Fresno, CA (Faculty Share Out, Curriculum and Instruction department meeting)
†Thao, D., & Hong, H. (2024, April 3). The Effects of iReady on Elementary Teachers. Poster Presentation, 45th Annual Central California Research Symposium, California State University, Fresno
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.
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.
Lee, H., Vispoel, W. P., Hong, H. & Chen, T. (2023, August). Reliability of Scores for Full and Shortened Forms of the IPIP-BFM from Conventional and G-theory Perspectives. The 2023 American Psychological Association’s (APA) Annual Convention.
Hong, H., Vispoel, W. P., Lee, H., & Chen, T. (2023, August). Accounting for Item-Wording Effects when Evaluating Consistency of Self-Concept Scores. The 2023 American Psychological Association’s (APA) Annual Convention.
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.
Hong, H. (2023, August 22), Quantitative Workshop Series: Qualtrics 2. Invited 2-Hour Workshop. Educational Leadership Doctoral Program Research Center, California State University, Fresno.
Hong, H. (2023, July 26), Quantitative Workshop Series: Qualtrics 1. Invited 1-Hour Workshop. Educational Leadership Doctoral Program Research Center, California State University, Fresno.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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 (NCME).
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.
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.
Vispoel, W., Xu, G., Schneider, W., Kilinc, M., Zhang, M., & Hong, H. (2021, August). A latent state-trait theory analysis of responses to multidimensional self-concept inventories [Poster session]. The 2021 Virtual American Psychological Association’s (APA) Annual Convention.