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Large-Scale Data Lab Learning Performance and Research Center

Publications

Selected Journal Articles

Measurement & Psychometrics

  • 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, Advanced online publication. https://doi.org/10.1177/07342829251333844 
  • 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. https://doi.org/10.1080/00220973.2023.2276933
  • 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. https://doi.org/10.1080/00220973.2022.2153783
  • 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. https://www.frontiersin.org/articles/10.3389/feduc.2022.947581
  • Dai, S. & Svetina Valdivia, D. (2022). Dealing with missing responses in cognitive diagnostic modeling. Psych. 4(2), 318-341. https://doi.org/10.3390/psych4020028.
  • 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. https://www.frontiersin.org/articles/10.3389/feduc.2021.721963
  • Dai, S. (2021). Handling missing responses in psychometrics: Methods and software. Psych, 3, 673-693. https://doi.org/10.3390/psych3040043.
  • 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 (section Quantitative Psychology and Measurement), 9:696, 1-15. https://doi.org/10.3389/fpsyg.2018.00696
  • Dai, S., Svetina, D., & Wang, X. (2017). Reporting subscores using R: A software review. Journal of Educational and Behavioral Statistics, 42(2), 617-638. https://doi.org/10.3102/1076998617716462
  • Svetina, D., Dai, S., & Wang, X. (2017). Use of cognitive diagnostic model to study differential item functioning in accommodations. Behaviormetrika, 44(2), 313-349. https://doi.org/10.1007/s41237-017-0021-0
  • Svetina, D., Valdivia, A., Underhill, S., Dai, S., & Wang, X. (2017). Recovery of parameters in multidimensional item response theory models under complexity and nonormality. Applied Psychological Measurement, 41(7), 530-544. https://doi.org/10.1177/0146621617707507
  • Dai, S., Wang, X., & Svetina, D. (2019). The application of minimum discrepancy estimation in the implementation of diagnostic classification models. Behaviormetrika, 46, 453-481. https://doi.org/10.1007/s41237-019-00094-4

Statistics & Quantitative Methods

  • Education
    • Ardasheva, Y., Dai, S., & Kangas, S. (2025). Opportunity gap at the intersection of language, disability, and science. Science Education. Advanced online publication.  https://doi.org/10.1002/sce.70011
    • 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. https://doi.org/10.1177/00224669231213054. 
    • Ramazan, O., Dai, S., Danielson, R., Ardasheva, Hao, T., & Y. Austin, B., (2023). Students’ 2018 PISA reading self-concept: Identifying predictors and examining model generalizability for emergent bilinguals. Journal of School Psychology. 101, 101254. https://doi.org/10.1016/j.jsp.2023.101254.
    • 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.https://doi.org/10.1007/s11145-022-10357-4. 
    • Zhang, X., Dai, S., & Ardasheva, Y. (2020). Contributions of (de)motivation, engagement, anxiety in English listening and speaking. Learning and Individual Differences, 79, 1-13. https://doi.org/10.1016/j.lindif.2020.101856.
Psychology
    • Schmitter-Edgecombe, M., Rahman, S., Dai, S., Woo, E., & Libon, D. (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, Advanced online publication. https://doi.org/10.1093/arclin/acaf028.
    • 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. https://doi.org/10.1037/neu0000984. [APA Editor’s Choice selection].
    • Schmitter-Edgecombe, M., Luna, C., Dai, S., & Cook, D. (2024). Predicting daily cognition and lifestyle behaviors for older adults using smart home data and ecological momentary assessment. The Clinical Neuropsychologist. 1-25. https://doi.org/10.1080/13854046.2024.2330143.
    • Dai, S., Kehinde, O.J., Schmitter-Edgecombe, M., & French, B. (2022). Modeling daily fluctuations in everyday cognition and health behaviors at general and person-specific levels: A GIMME analysis. Behaviormetrika. 50, 563–583. https://doi.org/10.1007/s41237-022-00191-x. 
  • Kinesiology
    • 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. Advanced online publication. https://doi.org/10.1080/00140139.2023.2296827.

Books

  • Finch, W. H., French, B. F., Immekus, J., & Dai, S. (2025). Educational and psychological measurement (2nd ed.). Routledge. www.routledge.com/9781032575230

Book Chapters

Software Packages

For a complete list of publications, see Dai, Shenghai_CV.

 

  • WSU Large-Scale Data Lab