Chia-Wen Chen
Academic interests
The Item Response Theory (IRT) models and their extensions, such as mani-facets model (rater effect), response styles, response time model are interesting to me as well as the application of IRT, such as computerized adaptive testing, differential item functioning, and data-model fit testing. Currently, I am working on the IRT models for the forced-choice items (e.g. ranking items, Most-Least items). In my doctoral thesis, I developed the two new IRT models for the compositional items that refer to the forced-choice format but lead to the continuous data.
Background
Prior to working at CEMO, I experienced the works as the senior research assistant in the Education University of Hong Kong, during which I investigated the reliability of the Principal Instructional Management Rating Scale (PIMRS; Hallinger, Wang, & Chen, 2013) with the multilevel structure and did the IRT modeling studies for the forced-choice items with Prof. WANG Wen-Cheng (Wang, Qiu, Chen, Ro, & Jin, 2017; Wang, Qiu, Chen, & Ro, 2016).
I
experienced the works as the senior research assi
stant
in
the Education University of
Hong Kong, during which I investigated the reliability of the Principal Instructional
Management Rating Scale (PIMRS; Hallinger, Wang, & Chen, 2013)
with the multilevel
structure
and did the IRT modeling studies for the
forced
-
choice items
with Prof. WANG
Wen
-
Cheng
(Wang, Qiu, Chen, Ro, & Jin, 2017; Wang, Qiu, Chen, & Ro, 2016).
Ph.D. Psychology, The Education University of Hong Kong, 2018
M.Sc. Psychology, National Chung Cheng University, 2008
B.Sc. Psychology, Chung Yuan Christian University, 2004
Publications
Chen, C. -W., Wang, W. -C., Mok, M. M. C., & Scherer, R. (2021) A Lognormal Ipsative Model for Multidimensional Compositional Items. Frontiers in Psychology, 12, 4521. doi: 10.3389/fpsyg.2021.573252
Chen, C. -W., Wang, W. -C., Chiu, M. M., & Ro, S. (2020). Item selection and exposure control methods for computerized adaptive testing with multidimensional ranking items. Journal of Educational Measurement, 57(2), 343-369.
Wang, W. -C., Qiu, X. L., Chen, C. -W., Ro, S., & Jin, K. -Y. (2017). Item Response Theory Models for Ipsative Tests With Multidimensional Pairwise Comparison Items. Applied Psychological Measurement. doi: 10.1177/0146621617703183.
Wang, W.-C., Qiu, X.-L., Chen, C.-W., & Ro, S. (2016). Item response theory models for multidimensional ranking items. In L. A. van der Ark, D. M. Bolt, W.-C. Wang, J. A. Douglas, & M. Wiberg (Eds.), Quantitative Psychology Research (49-65). New York, NY: Springer
Hallinger, P., Wang, W. -C., Chen, C. -W., & Li, D. (2015). Reliability of the PIMRS. In Assessing Instructional Leadership with the Principal Instructional Management Rating Scale (pp. 63-84). Springer International Publishing.
Hallinger, P., Wang, W. -C., Chen, C. -W., & Li, D. (2015). Validity of the PIMRS. In Assessing Instructional Leadership with the Principal Instructional Management Rating Scale (pp. 85-115). Springer International Publishing.
Hallinger, P., Wang, W.-C., Chen, C. -W., & Li, D. (2015). Developing a PIMRS Short Form. In Assessing Instructional Leadership with the Principal Instructional Management Rating Scale (pp. 117-129). Springer International Publishing.
Wang, L., Chen, C.-W., & Zhu, L. (2014). Picture Norms for Chinese Preschool Children: Name Agreement, Familiarity, and Visual Complexity. PLOS ONE.
Hallinger, P., Wang, W.-C., & Chen, C.-W. (2013). Assessing the Measurement Properties of the Principal Instructional Management Rating Scale A Meta-Analysis of Reliability Studies. Educational Administration Quarterly, 49(2), 272-309.