Publications
- Wallin, G., & Wiberg, M. (2024). Smoothing of bivariate test score distributions - Model selection targeting test score equating. Accepted for publication in Journal of Educational and Behavioral Statistics.
- Wallin, G. (2024) Review of An Introduction to R and Python for Data Analysis: A Side-By-Side Approach (by Taylor R. Brown). The American Statistician.
- Wallin, G., Chen, Y., & Moustaki, I. (2024). DIF Analysis with Unknown Groups and Anchor Items. Psychometrika. Link to paper.
- Wallin, G., & Wiberg, M. (2023). Model Misspecification and Robustness of Test Score Equating Using Propensity Scores. Journal of Educational and Behavioral Statistics, 48(5), 603-635. Link to paper
- Liu, X., Wallin, G., Chen, Y., & Moustaki, I. (2023). Rotation to Sparse Loadings using L^p Losses and Related Inference Problems. Psychometrika, 88(2), 527-553. Link to paper.
- 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. Link to paper
- 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. Link to paper
- 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.
- 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.
- Wallin, G. (2020). Extensions of the Kernel Method of Test Score Equating. Statistical Studies - Umeå University (PhD thesis). Link to thesis
- 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.
- Wallin, G. & Wiberg, M. (2019). Kernel Equating Using Propensity Scores for Nonequivalent Groups. Journal of Educational and Behavioral Statistics, 44(4), 390-414. Link
- 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.
- 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.