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Published in Quantitative Psychology - 81st annual meeting of the psychometric society, 2017
Recommended citation: Wallin, G., Wiberg, M. (2017). "Non-equivalent groups with covariates design using propensity scores for kernel equating" In van der Ark, L., Wiberg, M., Culpepper, S. A., Douglas, J.A., & Wang, W-C. (Eds.) (2017). Quantitative Psychology: The 81st Annual Meeting of the Psychometric Society, Asheville, North Carolina, 2016. New York: Springer.
Published in Quantitative Psychology - 82nd annual meeting of the psychometric society, 2018
Recommended citation: Wallin, G., Häggström, J., & Wiberg, M. (2018). "How to select the bandwidth in kernel equating - An evaluation of five different methods." In Wiberg, M., Culpepper, S., Janssen, R., González, J., & Molenaar, D. (Eds.) (2018). Quantitative Psychology: The 82nd Annual Meeting of the Psychometric Society, Zurich, Switzerland, 2017. New York: Springer.
Published in Journal of Educational and Behavioral Statistics, 2019
Recommended citation: Wallin, G., and Wiberg, M. (2019). Kernel Equating Using Propensity Scores for Nonequivalent Groups. Journal of Educational and Behavioral Statistics. 44(4), 390-414.
Recommended citation: Wallin, G. & Wiberg, M. (2019). "Kernel equating using propensity scores for nonequivalent groups." Journal of Educational and Behavioral Statistics, 44(4), 390-414. https://journals.sagepub.com/doi/full/10.3102/1076998619838226
Published in Quantitative Psychology - 84th annual meeting of the psychometric society, 2020
Recommended citation: Wallin, G., Häggström, J., & Wiberg, M. (2020). "Model Selection for Presmoothing of Bivariate Score Distributions in Kernel Equating." In Wiberg, M., Molenaar, D., González, J., Böckenholt, U. & Kim, J-S. (Eds.) (2020). Quantitative Psychology: The 84th Annual Meeting of the Psychometric Society, Santiago, Chile, 2019. New York: Springer.
Published in Statistical Studies - Umeå University, 2020
Recommended citation: Wallin, G. (2020). "Extensions of the Kernel Method of Test Score Equating. Statistical Studies " Statistical Studies - Umeå University. https://umu.diva-portal.org/smash/get/diva2:1378833/FULLTEXT01.pdf
Published in Quantitative Psychology - 85th annual meeting of the psychometric society, 2021
Recommended citation: Wallin, G., Wiberg, M. (2021). "Equating Nonequivalent Groups using Propensity Scores - Model Misspecification and Sensitivity Analysis." In Wiberg, M., Molenaar, D., González, J., Böckenholt, U., & Kim, J-S. (Eds.) (2021). Quantitative Psychology: The 85th Annual Meeting of the Psychometric Society, Virtual, 2021. New York: Springer.
Published in Quantitative Psychology - 85th annual meeting of the psychometric society, 2021
Recommended citation: González, J., Wallin, G. (2021). "An Illustration on the Quantile-Based Calculation of the Standard Error of Equating in Kernel Equating." In Wiberg, M., Molenaar, D., González, J., Böckenholt, U., & Kim, J-S. (Eds.) (2021). Quantitative Psychology: The 85th Annual Meeting of the Psychometric Society, Virtual, 2021. New York: Springer.
Published in Applied Psychological Measurement, 2021
Recommended citation: Wallin, G., Wiberg, M. & Häggström, J. (2021). "How important is the choice of bandwidth in kernel equating?." Applied Psychological Measurement, 45(7-8), 518-535.
Published in International Journal of Assessment Tools in Education, 2021
Recommended citation: Altintas, Ö. & Wallin, G. (2021). "Equality of admission tests using kernel equating under the non-equivalent groups with covariates design." International Journal of Assessment Tools in Education, 8(4), 729-743.
Published in ArXiv, 2022
ArXiv link Accepted for publication in Psychometrika.
Recommended citation: Liu, X., Wallin, G., Chen, Y., & Moustaki, I. (2022). "Rotation to Sparse Loadings using L^p Losses and Related Inference Problems" ArXiv.
Published in ArXiv, 2022
Accepted for publication in Journal of Educational and Behavioral Statistics.
Recommended citation: Wallin, G., & Wiberg, M. (2023). "Rotation to Sparse Loadings using L^p Losses and Related Inference Problems".
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Propensity scores in kernel equating for non-equivalent groups.
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Selecting bandwidths in kernel equating with different tests and test distributions.
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Bandwidth selection in kernel equating for tests of different length and distribution.
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Optimal bandwidth selection in kernel equating for different test types.
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Revisiting the Bahadur representation of sample quantiles for the standard error of kernel equating.
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Revisiting the Bahadur representation of sample quantiles for the standard error of kernel equating.
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Equating non-equivalent test groups using covariates.
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Equating non-equivalent groups using propensity scores - Model misspecification and sensitivity analysis.
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Equating non-equivalent test groups using covariates.
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A model-based approach for simultaneous clustering of individuals and items.
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Test score equating of nonequivalent groups using propensity scores.
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Multivariate Outlier Detection: A Flexible Item Response Theory Modeling Approach
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Two-Way Outlier Detection for Item Response Data
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Cheating detection in educational testing
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Model-based clustering of multivariate data using a hybrid factor model
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On multivariate outliers and latent DIF detection in educational testing.
BSc course, London School of Economics and Political Science, Department of Statistics, 2022
Michaelmas term 2022. Link here.
BSc course, London School of Economics and Political Science, Department of Statistics, 2022
Michaelmas term 2022. Link here.
MSc course, London School of Economics and Political Science, Department of Statistics, 2023
Lent term 2023. Link here.