Publications

My publications span educational measurement, psychometrics, quantitative methodology, large-scale assessment, machine learning, and applied research. My work combines methodological development with applications to education, psychology, health, and human development.

The publication record below is organized chronologically and includes peer-reviewed journal articles, books and book chapters, research software, and selected publications with students.

Peer-Reviewed Journal Articles

2026

  • Dai, S., French, B. F., & Finch, W. H. (in press). DIFplus: An R package for multilevel differential item functioning detection. Applied Psychological Measurement.

  • Schmitter-Edgecombe, M., Luna, C., Chilton, R. C., Rahman, S., Beech, B. F., Li, X., Dines, M., Dai, S., & Cook, D. J. (2026). Promoting digital memory aid use in older adults with cognitive concerns: A pilot randomized controlled trial of adaptive web-based training. Neuropsychology. Advance online publication. DOI

  • Gavett, B. E., Schmitter-Edgecombe, M., Luna, C., Zawadzki, M. J., Weakley, A. M., Fox, J. M., Cook, D., Dai, S., & Tomaszewski Farias, S. (2026). The association between daily real-time assessment of subjective cognitive function and objective cognition using ecological momentary assessment. Neuropsychology. Advance online publication. DOI

  • Mainake, E., Dai, S., Ardasheva, Y., Hsiao, Y.-J., Calderone, S., & Newcomer, S. (2026). Investigating pre-service teachers’ culturally responsive, sustaining pedagogy self-efficacy and competencies. Learning, Culture and Social Interaction, 59, 101027. DOI

  • Gao, Q., Qian, M., Wang, A. X., & Dai, S. (2026). Examining the dimensionality of the self-perceptions of creativity scale using psychometric network analysis: A tutorial. Creativity Research Journal, 38(2), 318–331. DOI

  • Schmitter-Edgecombe, M., Luna, C., Dai, S., & Cook, D. (2026). Predicting daily cognition and lifestyle behaviors for older adults using smart home data and ecological momentary assessment. The Clinical Neuropsychologist, 40(3), 935–959. DOI

  • Zheng, X., Dai, S., & Kirakosian, A. T. (2026). When the sandwich makes you hesitate, replicate: On sampling variance estimation of multilevel models under complex sample design. Large-scale Assessment in Education, 14, 14. DOI

  • Kirakosian, A. T., Dai, S., & Plunkett, S. W. (2026). The psychometric properties of the GAD-7 to assess generalized anxiety in Black American university students. Journal of Psychoeducational Assessment, 44(2), 177–190. DOI

  • Ardasheva, Y., Dai, S., & Kangas, S. (2026). Opportunity gap at the intersection of language, disability, and science. Science Education, 110(2), 400–417. DOI

2025

  • Luna, K., Dai, S., Pagan, C., Liu, C., & Schmitter-Edgecombe, M. (2025). Examining intra-individual variability of ecological momentary assessment with multilevel modeling: A systematic review and recommendations for research and practice. The Clinical Neuropsychologist. Advance online publication. DOI

  • Taylor, J. P., Ramazan, O., Whittenburg, H. N., Sheftel, A., & Dai, S. (2025). Career and technical educational experiences and career trajectories of youth with disabilities: An examination of High School Longitudinal Study data. Career and Technical Education Research.

  • Sunday, O. J., Adesope, O. O., Dai, S., & Carbonneau, K. (2025). The effects of concept mapping experience, feedback timing, and motivation on students’ learning outcomes. Learning and Motivation, 92, 102201. DOI

  • Catena, R. D., Dai, S., Allaire, B. T., Occhino, A., Banks, J. J., & Anderson, D. E. (2025). Obesity as a moderator of lumbar spine posture change during pregnancy. Gait & Posture. Advance online publication. DOI

  • Qian, M., Wang, X., & Dai, S. (2025). Psychometric network analysis and dimensionality assessment: A software review. Education Sciences, 15(5), 555. DOI

  • Ramazan, O., Dai, S., & Danielson, R. (2025). Exploring validity evidence for mathematics self-concept of adolescents: Key findings from PISA 2022. Journal of Psychoeducational Assessment. Advance online publication. DOI

  • Rahman, S., Dai, S., Libon, D. J., Woo, E., & Schmitter-Edgecombe, M. (2025). Cutoffs of the instrumental activities of daily living–compensation (IADL-C) scale for identification of functional limitations consistent with mild cognitive impairment and dementia. Archives of Clinical Neuropsychology, 40(6), 1101–1111. DOI

  • Schmitter-Edgecombe, M., Luna, C., Beech, B., Dai, S., & Cook, D. (2025). Capturing cognitive capacity in the everyday environment across a continuum of cognitive decline using a smartwatch n-back task and ecological momentary assessment. Neuropsychology, 39(1), 28–43. DOI

2024

  • Vo, T., Dai, S., & French, B. F. (2024). Black girls’ mathematics and science identities using large-scale assessment and survey data: A QuantCrit framework. Methods in Psychology, 11, 100158. DOI

  • Kangas, S., Dai, S., & Ardasheva, Y. (2024). The intersection of language and disability: Progress of English learners with disabilities on NAEP reading. The Journal of Special Education, 58(2), 88–99. DOI

2023

  • Zhang, X., Dai, S., Ardasheva, Y., & Hong, Y. (2023). Relationships among English language proficiency, self-efficacy, motivation, motivational intensity, and achievement in an ESP/EAP context. Journal of Psycholinguistic Research, 52, 3019–3038. DOI

  • Stewart, B. C., Dai, S., Havens, K., Eggleston, J. D., Bagwell, J., Deering, R. E., Little, E. E., & Catena, R. (2023). Determining fall risk change throughout pregnancy: The accuracy of postpartum survey and relationship to fall efficacy. Ergonomics, 68(1), 85–94. DOI

  • Danielson, R. W., Gale, M. S., Dai, S., Seyranian, V., Heddy, B., Marsh, J., & Polikoff, M. S. (2023). The development and validation of the elementary activity interest measure. Journal of Experimental Education, 93(2), 396–418. DOI

  • Ramazan, O., Dai, S., Danielson, R., Ardasheva, Y., Hao, T., & Austin, B. (2023). Students’ 2018 PISA reading self-concept: Identifying predictors and examining model generalizability for emergent bilinguals. Journal of School Psychology, 101, 101254. DOI

  • Dai, S., Hao, T., Ardasheva, Y., Ramazan, O., Danielson, R., & Austin, B. (2023). PISA reading achievement: Identifying predictors and examining model generalizability for multilingual students. Reading and Writing, 36, 2763–2795. DOI

  • Svetina Valdivia, D. & Dai, S. (2023). Number of response categories and sample size requirements in polytomous IRT models. Journal of Experimental Education, 92(1), 154–185. DOI

  • Dai, S., Kehinde, O. J., Schmitter-Edgecombe, M., & French, B. (2023). Modeling daily fluctuations in everyday cognition and health behaviors at general and person-specific levels: A GIMME analysis. Behaviormetrika, 50, 563–583. DOI

2022

  • Kehinde, O. J., Dai, S., & French, B. (2022). Item parameter estimation for multidimensional graded response model under complex structure. Frontiers in Education – Assessment, Testing and Applied Measurement, 7, 947581.

  • Dai, S. & Svetina Valdivia, D. (2022). Dealing with missing responses in cognitive diagnostic modeling. Psych, 4(2), 318–341. DOI

2021

  • Dai, S., Vo, T., Kehinde, O. J., He, H., Xue, Y., Demir, C., & Wang, X. (2021). Performance of polytomous IRT models with rating scale data: An investigation over sample size, instrument length, and missing data. Frontiers in Education – Assessment, Testing and Applied Measurement, 6, 721963.

  • Dai, S. (2021). Handling missing responses in psychometrics: Methods and software. Psych, 3(4), 673–693. DOI

2020

  • Zhang, X., Dai, S., & Ardasheva, Y. (2020). Contributions of (de)motivation, engagement, anxiety in English listening and speaking. Learning and Individual Differences, 79, 101856. DOI

2019

  • Dai, S., Wang, X., & Svetina, D. (2019). The application of minimum discrepancy estimation in the implementation of diagnostic classification models. Behaviormetrika, 46, 453–481. DOI

  • Strong, Z., McMain, E. M., Frey, K. S., Wong, R. M., Dai, S., & Jin, G. (2019). Ethnically diverse adolescents recount third-party actions that amplify their anger and calm their emotions after perceived victimization. Journal of Adolescent Research, 35(4), 461–488. DOI

  • Liu, Z., Roggio, R., Day, D., Zheng, C., Dai, S., & Bian, Y. (2019). Leader development begins at home: Overparenting harms adolescent leader emergence. Journal of Applied Psychology, 104(10), 1226–1242. DOI

  • Wang, X., Svetina, D., & Dai, S. (2019). Exploration of factors affecting the added value of test subscores. Journal of Experimental Education, 87(2), 179–192. DOI

2018

  • Dai, S., Svetina, D., & Chen, C. (2018). Investigation of missing responses in Q-matrix validation. Applied Psychological Measurement, 42(8), 660–676. DOI

  • Svetina, D., Feng, Y., Paulsen, J., Valdivia, M., Valdivia, A., & Dai, S. (2018). Examining DIF in the context of CDMs when the Q-matrix is misspecified. Frontiers in Psychology, 9, 696. DOI

2017

  • Dai, S., Svetina, D., & Wang, X. (2017). Reporting subscores using R: A software review. Journal of Educational and Behavioral Statistics, 42(5), 617–638. DOI

  • Svetina, D., Dai, S., & Wang, X. (2017). Use of cognitive diagnostic model to study differential item functioning in accommodations. Behaviormetrika, 44(2), 313–349. DOI

  • Svetina, D., Valdivia, A., Underhill, S., Dai, S., & Wang, X. (2017). Recovery of parameters in multidimensional item response theory models under complexity and nonnormality. Applied Psychological Measurement, 41(7), 530–544. DOI

Book

  • Finch, W. H., French, B. F., Immekus, J., & Dai, S. (2025). Educational and psychological measurement (2nd ed.). Routledge.

Book Chapters

  • Ardasheva, Y., Lightner, L. K., Dai, S., Ramazan, O., Guerrettaz, A. M., Karaer, G., Garcia, D., Suarez, G. C., Hsiao, Y.-J., with Ramirez, N. G., & Carrillo, T. V. (2026). Exploring the psychology of language materials development in dual language science classrooms. In A. Sarkeshikian (Ed.), Exploring the psychology of language materials development. IGI Global. DOI

  • Van Orman, D. S. J., Ardasheva, Y., Maleki, G., Calderone, S., Hsiao, Y.-J., & Dai, S. (2025). Building culturally sustaining orientations to teaching and assessment. In L. DeMartino & L. Fetman (Eds.), Moving from trendy growth to asset-based mindsets in schools (Vol. 2, pp. 33–56). Myers Education Press.

  • Dai, S. & Strong, Z. (2021). Educational applications using large-scale assessment and survey data: Opportunities and challenges. In U. Luhanga & G. Allen (Eds.), Basic elements of survey research in education: Addressing the problems your advisor never told you about (pp. 747–776). Information Age Publishing.

  • Wang, X. & Dai, S. (2021). Extreme response style in survey research. In U. Luhanga & G. Allen (Eds.), Basic elements of survey research in education: Addressing the problems your advisor never told you about (pp. 607–623). Information Age Publishing.

  • Brown, N., Dai, S., & Svetina, D. (2016). Analyzing NAEP data at the item level. In P. Kloosterman, D. Mohr, & C. Walcott (Eds.), What mathematics do students know and how is that knowledge changing? Evidence from the National Assessment of Educational Progress (pp. 33–44). Information Age Publishing.

Research Software

My research software supports reproducible applications of psychometric and quantitative methods.

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Publications with Students

Publications marked with an asterisk in my CV represent work conducted with students. My publications include collaborations with graduate and undergraduate researchers across educational measurement, psychometrics, large-scale assessment, machine learning, and applied quantitative research.

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