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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.
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On fairness and interpretability in educational and psychological testing.
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A General Item Response Theory Framework for Latent DIF Detection.
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Rotation to Sparse Loadings using Lp Losses and Related Inference Problems.
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Local Equating of Test Scores using Propensity Scores: A New Method for Non-Equivalent Test Groups Without Anchor Items
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DIF Analysis with Unknown Groups and Anchor Items
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On recovering sparse structures in exploratory factor analysis.
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On recovering sparse structures in exploratory factor analysis.
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On change-point detection in latent factor modeling
MSc course, Lancaster University, Department of Mathematics and Statistics, 2023
Michaelmas term 2023. Link here.