Björn Andersson

Associate Professor - Centre for Educational Measurement
Image of Björn Andersson
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Room 329
Visiting address Gaustadalléen 21 Hus C Plan 1 0373 OSLO
Postal address Postboks 1161 Blindern 0318 OSLO

Academic interests

Currently I am working with methodological development for latent variable models such as item response theory (IRT) and structural equation models. 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:


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. 

Educational background:
Ph.D. Statistics, Uppsala University, 2014.
M.Sc. Statistics, Umeå University, 2011.
B.Sc. Statistics, Umeå University, 2010.

Tags: Equating, linking, IRT, Large-scale assessments


  • Reis Costa, Denise; Bolsinova, Maria; Tijmstra, Jesper & Andersson, Björn (2021). Improving the Precision of Ability Estimates Using Time-On-Task Variables: Insights From the PISA 2012 Computer-Based Assessment of Mathematics. Frontiers in Psychology.  ISSN 1664-1078. Show summary
  • Andersson, Björn & Xin, Tao (2020). Estimation of Latent Regression Item Response Theory Models Using a Second-Order Laplace Approximation. Journal of educational and behavioral statistics.  ISSN 1076-9986. . doi: 10.3102/1076998620945199 Full text in Research Archive.
  • Jin, Shaobo & Andersson, Björn (2020). A note on the accuracy of adaptive Gauss–Hermite quadrature. Biometrika.  ISSN 0006-3444.  107(3) . doi: 10.1093/biomet/asz080
  • Liu, Chen-Wei; Andersson, Björn & Skrondal, Anders (2020). A Constrained Metropolis–Hastings Robbins–Monro Algorithm for Q Matrix Estimation in DINA Models. Psychometrika.  ISSN 0033-3123.  85, s 322- 357 . doi: 10.1007/s11336-020-09707-4 Full text in Research Archive.
  • Liu, Yanlou; Xin, Tao; Andersson, Bjørn & Tian, Wei (2019). Information matrix estimation procedures for cognitive diagnostic models. British Journal of Mathematical & Statistical Psychology.  ISSN 0007-1102.  72(1), s 18- 37 . doi: 10.1111/bmsp.12134
  • Luo, Hao; Andersson, Björn Håkan; Tang, Jennifer & Wong, Gloria (2019). Applying Item Response Theory Analysis to the Montreal Cognitive Assessment in a Low-Education Older Population. Assessment (Odessa, Fla.).  ISSN 1073-1911.  s 1- 13 . doi: 10.1177/1073191118821733
  • 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 Full text in Research Archive.
  • Liu, Yanlou; Andersson, Björn Håkan; Tao, Xin; Zhang, Haiyan & Wang, Lingling (2018). Improved Wald Statistics for Item-Level Model Comparison in Diagnostic Classification Models. Applied Psychological Measurement.  ISSN 0146-6216. . doi: 10.1177/0146621618798664

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  • Ræder, Henrik Galligani; Olsen, Rolf Vegar & Andersson, Björn (2020). Comparing measures of numeracy across grades.
  • Ræder, Henrik Galligani; Andersson, Björn & Olsen, Rolf Vegar (2019). Exploring the unidimensionality of the Norwegian National Numeracy tests.
  • Ræder, Henrik Galligani; Andersson, Björn; Blömeke, Sigrid & Olsen, Rolf Vegar (2018). Development of Numeracy Proficiency in Primary and Lower Secondary School.

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Published Dec. 6, 2017 1:29 PM - Last modified Apr. 14, 2020 1:02 PM