Currently I am working with estimation of latent variable models such as item response theory and structural equation models with specific application to large-scale assessment programs. I am also involved in research on equating/linking in educational assessment and various applications in education, gerontology and psychology. In addition, I am the maintainer of the R package kequate which implements the kernel method of test equating in an open source software package and irtreliability which enables the estimation of IRT reliability and associated confidence intervals.
For a full list of publications see: http://orcid.org/0000-0002-9007-2440
Two positions as PhD research fellows are open at CEMO, see: https://tinyurl.com/ya3f3du9
Prior to joining CEMO I was a post-doctoral researcher at the Collaborative Innovation Center of Assessment towards Basic Education Quality at Beijing Normal University where I worked on improving the NAEQ, a large-scale Chinese assessment of basic education quality.
Ph.D. Statistics, Uppsala University, 2014.
M.Sc. Statistics, Umeå University, 2011.
B.Sc. Statistics, Umeå University, 2010.
- Gao, Yizhu; Zhai, Xiaoming; Andersson, Björn Håkan; Zeng, Pingfei & Xin, Tao (2018). Developing a Learning Progression of Buoyancy to Model Conceptual Change: A Latent Class and Rule Space Model Analysis. Research in Science Education. ISSN 0157-244X. s 1- 20 . doi: 10.1007/s11165-018-9736-5
- Liu, Yanlou; Xin, Tao; Andersson, Bjørn & Tian, Wei (2018). Information matrix estimation procedures for cognitive diagnostic models. British Journal of Mathematical & Statistical Psychology. ISSN 0007-1102. . doi: 10.1111/bmsp.12134