Chia-Wen Chen

Postdoctoral Fellow - Centre for Educational Measurement
Image of Chia-Wen Chen
Norwegian version of this page
Email c.w.chen@cemo.uio.no
Phone +47 22844489
Mobile phone +47 47726778
Room 356
Username
Visiting address Forskningsparken C1 Gaustadalléen 21 0349 OSLO
Postal address Postboks 1161 Blindern 0318 Oslo
Other affiliations The International Summer School (Student)

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 

 

 

Tags: Rasch model, IRT, Computerized adaptive testing, forced-choice model

Publications

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.

Published Mar. 4, 2019 9:55 AM - Last modified Dec. 6, 2020 5:51 PM