Björn Andersson

• 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

  Log-file data from computer-based assessments can provide useful collateral information for estimating student abilities. In turn, this can improve traditional approaches that only consider response accuracy. Based on the amounts of time students spent on 10 mathematics items from the PISA 2012, this study evaluated the overall changes in and measurement precision of ability estimates and explored country-level heterogeneity when combining item responses and time-on-task measurements using a joint framework. Our findings suggest a notable increase in precision with the incorporation of response times and indicate differences between countries in how respondents approached items as well as in their response processes. Results also showed that additional information could be captured through differences in the modeling structure when response times were included. However, such information may not reflect the testing objective.

• 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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