SELECTED PEER-REVIEWED JOURNAL PUBLICATIONS
Methodological work
- Ma, W., Wang, C. & Xiao, J. (Accepted). A Testlet Diagnostic Classification Model with Attribute Hierarchies. Applied Psychological Measurement.
- Ma, W., Chen, J. & Jiang, Z. (Accepted). Attribute continuity in cognitive diagnosis models: Impact on parameter estimation and its detection. Behaviormetrika. https://doi.org/10.1007/s41237-022-00174-y
- Chiu, C-Y., Kohn, H., Ma, W. (Accepted). Commentary on “Extending the basic local independence model to polytomous data" Psychometrika. https://doi.org/10.1007/s11336-022-09873-7
- Tu, D., Chiu, J., Ma, W., Wang, D., Cai, Y., & Ouyang, X. (Accepted). A multiple logistic regression-based (MLR-B) Q-matrix validation method for cognitive diagnosis models: A confirmatory approach. Behavior Research Methods.
- Ma, W. (2022). A higher-order cognitive diagnosis model with ordinal attributes for dichotomous response data. Multivariate Behavioral Research, 57, 408-421. https://doi.org/10.1080/00273171.2020.1860731
- Jiang, Z., Ma, W., Flory, K., Zhang, D., Zhou, W., Shi, D., Hua, X., & Liu, R. (2022). Development of a computerized adaptive testing for ADHD using Bayesian Networks: An attempt at classification. Current Psychology. https://doi.org/10.1007/s12144-022-03056-4
- Ma, W., & Jiang, Z. (2021). Estimating cognitive diagnosis models in small samples: Bayes modal estimation and monotonic constraints. Applied Psychological Measurement, 45, 95-111. https://doi.org/10.1177/0146621620977681
- Ma, W., Terzi, R., & de la Torre, J. (2021). Detecting differential item functioning using multiple-group cognitive diagnosis models. Applied Psychological Measurement, 45, 37-53. https://doi.org/10.1177/0146621620965745
- Gao, X.*, Ma, W., Wang, D., Cai, Y., & Tu, D. (2021). A class of cognitive diagnosis models for polytomous data. Journal of Educational and Behavioral Statistics, 46, 297-322. https://doi.org/10.3102/1076998620951986
- Shi, Q.*, Ma, W., Robitzsch, A., Sorrel, M. A., & Man, K. (2021). Cognitive diagnosis analysis using the GDINA model in R. Psych, 3, 812-835. https://doi.org/10.3390/psych3040052
- Ma,W., & de la Torre, J. (2020). Cognitive diagnosis modeling using the GDINA R package. Journal of Statistical Software. 93 (14), 1-26. https://doi.org/10.18637/jss.v093.i14
- Ma, W., Michen, N. & de la Torre, J. (2020). Choosing Between CDM and Unidimensional IRT: The proportional reasoning test case. Measurement: Interdisciplinary Research and Perspectives. 18, 87-96. https://doi.org/10.1080/15366367.2019.1697122
- Ma, W. (2020). Evaluating the fit of sequential G-DINA model using limited-information measures. Applied Psychological Measurement. 44, 167-181. https://doi.org/10.1177/0146621619843829
- Ma, W., & de la Torre, J. (2020). An empirical Q-matrix validation method for the sequential G-DINA model. British Journal of Mathematical and Statistical Psychology. Advanced online publication, 73, 142-163. https://doi.org/10.1111/bmsp.12156
- Zhan, P., Ma, W., Jiao, H., Ding, S. (2020). A sequential higher-order latent structural model for hierarchical attributes. Applied Psychological Measurement, 44, 65-83. https://doi.org/10.1177/0146621619832935
- Ma, W., & Guo, W. (2019). Cognitive diagnosis models for multiple strategies. British Journal of Mathematical and Statistical Psychology, 72(2), 370-392. https://doi.org/10.1111/bmsp.12155
- Ma, W., & de la Torre, J. (2019). Category-level model selection for the sequential G-DINA model. Journal of Educational and Behavioral Statistics, 44(1),45-77. https://doi.org/10.3102/1076998618792484
- Ma, W. (2019). A diagnostic tree model for polytomous responses with multiple strategies. British Journal of Mathematical and Statistical Psychology, 72(1), 61-82. https://doi.org/10.1111/bmsp.12137
- Jiang, Z., & Ma, W. (2018). Integrating Differential Evolution Optimization to cognitive diagnosis model estimation. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2018.02142
- Ma,W., & de la Torre, J. (2016). A sequential cognitive diagnosis model for polytomous responses. British Journal of Mathematical and Statistical Psychology. 69, 253-275. https://doi.org/10.1111/bmsp.12070
- Ma,W., Iaconangelo, C., & de la Torre, J. (2016). Model similarity, model selection and attribute classification. Applied Psychological Measurement. 40, 200-217. https://doi.org/10.1177/0146621615621717
Substantive work
- Yu, J., Ma, W., Moon, J., & Denham, A. (Accepted). Developing a Stealth Assessment System Using a Continuous Conjunctive Model. Journal of Learning Analytics, 9(3), 11-31. https://doi.org/10.18608/jla.2022.7639
- Zhai, X., Haudek, K. & Ma, W. (Accepted). Assessing argumentation using machine learning and cognitive diagnostic modeling. Research in Science Education. https://doi.org/10.1007/s11165-022-10062-w
- Tan, Z.*, de la Torre, J., Ma, W., Huh, D., Larimer, M., & Mun, E-Y. (2022). A tutorial on cognitive diagnosis modeling for characterizing mental health symptom profiles using existing item responses. Prevention Science. http://doi.org/10.1007/s11121-022-01346-8
- Chou, S-Y.*, Ma, W., & Britt, R. (2022). The development of a podcast motivations scale based on uses and gratifications for users in Taiwan. Journal of Radio & Audio Media. https://doi.org/10.1080/19376529.2022.2044818
SOFTWARE PACKAGES
- Ma, W., & de la Torre, J. (2016-2022). GDINA: The generalized DINA model framework. R package version 2.8.8 https://CRAN.R-project.org/package=GDINA
- Chiu, C.-Y., & Ma, W. (2018). ACTCD: The asymptotic classification theory for cognitive diagnosis, R package version 1.1-0. https://CRAN.R-project.org/package=ACTCD
BOOK CHAPTERS, BOOK REVIEW & OTHERS
- Gao, Y., Zhai, X., Bae, A., & Ma, W. (2023). Rasch-CDM: Applying Rasch and Cognitive Diagnosis Models to Assess Learning Progression. In Liu, X. & Boone, W. (Eds.) (pp.xx-xx). Advances in Applications of Rasch Measurement in Science Education. Springer
Nature. - Ma, W. (2019). The GDINA R package for cognitive diagnosis modeling. In M. von Davier & Y.-S. Lee (Eds.). Handbook of diagnostic classification models (pp. 593-601). Springer.
- Ma, W., & de la Torre, J. (2019). Digital Module 05: Diagnostic Measurement—The G‐DINA Framework https://ncme.elevate.commpartners.com. Educational measurement: Issues and Practice. 38 (2), 114-115. https://doi.org/10.1111/emip.12262
- Ma,W. (2018). Book review: Diagnostic measurement: Theory, methods, and applications. Measurement: Interdisciplinary Research and Perspectives, 16, 78-79. https://doi.org/10.1080/15366367.2018.1434349