Recent Publications

 †: Cheng’s Current/Former Graduate Student; P: Postdoc

1. ^P Yu, X., & Cheng, Y. (in press). Data-driven Q-matrix validation using a residual-based statistic in cognitive diagnostic assessment. British Journal of Mathematical and Statistical Psychology. DOI: 10.1111/bmsp.12191

2. Jean-Pierre, P., Cheng, Y., & Paxton, R. (in press). Item-level psychometrics of a brief self-reported memory problem screening measure in breast cancer survivors. Acta Oncologica. DOI: 10.1080/0284186X.2019.1687935 https://www.tandfonline.com/eprint/9AJ5DKXWVSCNA2J8BK6J/full?target=10.1080/0284186X.2019.1687935

3. †Hong, M., Cheng, Y., & Steedle, J. (in press). Comparing insufficient effort responding detection methods: Practical advice and recommendations. Educational and Psychological Measurement. doi: 10.1177/0013164419865316. https://journals.sagepub.com/doi/epub/10.1177/0013164419865316

4. Jean-Pierre, †Shao, C., Paskett, E., Cheng, Y., Wells, K., Paskett, E., & Fiscella, K. (in press). Patient satisfaction with navigator interpersonal relationship (PSN-I): Item-level psychometrics using IRT analysis. Supportive Care in Cancer. doi: 10.1007/s00520-019-04833-x. http://link.springer.com/article/10.1007/s00520-019-04833-x

5. ^P Yu, X., & Cheng, Y. (2019). A change-point analysis procedure based on weighted residuals to detect back random responding. Psychological Methods, 24, 658 – 674.
doi: 10.1037/met0000212. https://psycnet.apa.org/record/2019-07788-001

6. †Reboucas, D. & Cheng, Y. (2019). Relationship between item characteristics and detection of differential item functioning under the MIMIC Model. Psychological Test and Assessment Modeling, 61(2), 227 – 257. https://search.proquest.com/docview/2263278865/fulltextPDF/F276DE369F54460FPQ/1?accountid=12874

7. Narvaez, D., Wang, L., Cheng, Y., Gleason, T., Woodbury, R., Kurth, A., & Lefever, J. B. (2019). The importance of early life touch for psychosocial and moral development. Psicologia: Reflexão e Crítica, 32. DOI: 10.1186/s41155-019-0129-0 https://link.springer.com/article/10.1186/s41155-019-0129-0? wt_mc=Internal.Event.1.SEM.ArticleAuthorIncrementalIssue&utm_source=ArticleAuthorIncremen talIssue&utm_medium=email&utm_content=AA_en_06082018&ArticleAuthorIncrementalIssue_20190807

8. Huang, S., Kong, Y., & Cheng, Y. (2019). Public images of gifted programs in China: A 38-year analysis of Chinese news reports on gifted education. Gifted and Talented International,
33, 41 – 51. doi: 10.1080/15332276.2019.1609343. https://www.tandfonline.com/eprint/T2MESX7UACSX7MYIEP2B/full?target=10.1080/15332276.2019.1609343

9. Narvaez, D., Woodbury, R., Gleason, T., Kurth, A., Cheng, Y., Wang, L., Deng, L., Gutzwiller-Helfenfinger, E., Christen, M., & Näpflin, C. (2019). Evolved development niche provision: Moral socialization, social maladaptation and social thriving in three countries. Sage Open, 9(2). doi: 10.1177/2158244019840123. 
https://journals.sagepub.com/doi/epub/10.1177/2158244019840123

10. †Whitney, B. M., Cheng, Y., †Brodersen, A. S., & †Hong, M. R. (2019). The Survey of Student Engagement in Statistics: Initial development and validation. Journal of
Psychoeducational Assessment, 37, 553-565. doi: 10.1177/0734282918769983. https://journals.sagepub.com/doi/epub/10.1177/0734282918769983

11. †Patton, J., Cheng, Y., †Hong, M., & Diao, Q. (2019). Detection and treatment of careless responses to improve item parameter estimation. Journal of Educational and Behavioral
Statistics, 44, 309-341. doi: 10.3102/1076998618825116. https://journals.sagepub.com/doi/epub/10.3102/1076998618825116

12. Steedle, J. T., †Hong, M., & Cheng, Y. (2019). The effects of inattentive responding on validity evidence when measuring social-emotional learning competencies. Educational
Measurement: Issues and Practices, 38, 101-111. doi: 10.1111/emip.12256. https://onlinelibrary.wiley.com/doi/full/10.1111/emip.12256

13. †Hong, M., & Cheng, Y. (2019). Robust maximum marginal likelihood (RMML) estimation for item response theory models. Behavior Research Methods, 51, 573-588. doi: 10.3758/s13428-018-1150-4. http://link.springer.com/article/10.3758/s13428-018-1150-4