| Sample size requirements for estimation of item parameters in the multidimensional graded response model S Jiang, C Wang, DJ Weiss Frontiers in psychology 7, 179786, 2016 | 215 | 2016 |
| A mixture hierarchical model for response times and response accuracy C Wang, G Xu British Journal of Mathematical and Statistical Psychology 68 (3), 456-477, 2015 | 184 | 2015 |
| A review of passive wireless sensors for structural health monitoring A Deivasigamani, A Daliri, C Wang, S John Modern Applied Science 7 (2), 57-76, 2013 | 109 | 2013 |
| Item selection in multidimensional computerized adaptive testing—gaining information from different angles C Wang, HH Chang Psychometrika 76, 363-384, 2011 | 105 | 2011 |
| Restrictive stochastic item selection methods in cognitive diagnostic computerized adaptive testing C Wang, HH Chang, A Huebner Journal of Educational Measurement 48 (3), 255-273, 2011 | 92 | 2011 |
| Texting while driving using Google Glass™: Promising but not distraction-free J He, W Choi, JS McCarley, BS Chaparro, C Wang Accident Analysis & Prevention 81, 218-229, 2015 | 90 | 2015 |
| Utilizing response time distributions for item selection in CAT Z Fan, C Wang, HH Chang, J Douglas Journal of Educational and Behavioral Statistics 37 (5), 655-670, 2012 | 90 | 2012 |
| A note on comparing examinee classification methods for cognitive diagnosis models A Huebner, C Wang Educational and Psychological Measurement 71 (2), 407-419, 2011 | 89 | 2011 |
| Online calibration methods for the DINA model with independent attributes in CD-CAT P Chen, T Xin, C Wang, HH Chang Psychometrika 77, 201-222, 2012 | 85 | 2012 |
| The linear transformation model with frailties for the analysis of item response times C Wang, HH Chang, JA Douglas British Journal of Mathematical and Statistical Psychology 66 (1), 144-168, 2013 | 83 | 2013 |
| Penn State Worry Questionnaire: structure and psychometric properties of the Chinese version J Zhong, C Wang, J Li, J Liu Journal of Zhejiang University Science B 10 (3), 211-218, 2009 | 82 | 2009 |
| Mutual information item selection method in cognitive diagnostic computerized adaptive testing with short test length C Wang Educational and psychological measurement 73 (6), 1017-1035, 2013 | 81 | 2013 |
| A semiparametric model for jointly analyzing response times and accuracy in computerized testing C Wang, Z Fan, HH Chang, JA Douglas Journal of Educational and Behavioral Statistics 38 (4), 381-417, 2013 | 77 | 2013 |
| Kullback–Leibler information and its applications in multi-dimensional adaptive testing C Wang, HH Chang, KA Boughton Psychometrika 76, 13-39, 2011 | 74 | 2011 |
| A two-stage approach to differentiating normal and aberrant behavior in computer based testing C Wang, G Xu, Z Shang Psychometrika 83, 223-254, 2018 | 69 | 2018 |
| Detecting aberrant behavior and item preknowledge: A comparison of mixture modeling method and residual method C Wang, G Xu, Z Shang, N Kuncel Journal of Educational and Behavioral Statistics 43 (4), 469-501, 2018 | 58 | 2018 |
| Fitting a linear–linear piecewise growth mixture model with unknown knots: A comparison of two common approaches to inference. N Kohli, J Hughes, C Wang, C Zopluoglu, ML Davison Psychological methods 20 (2), 259, 2015 | 57 | 2015 |
| Combining CAT with cognitive diagnosis: A weighted item selection approach C Wang, HH Chang, J Douglas Behavior research methods 44, 95-109, 2012 | 55 | 2012 |
| Deriving stopping rules for multidimensional computerized adaptive testing C Wang, HH Chang, KA Boughton Applied Psychological Measurement 37 (2), 99-122, 2013 | 47 | 2013 |
| On latent trait estimation in multidimensional compensatory item response models C Wang Psychometrika 80, 428-449, 2015 | 46 | 2015 |
