Research

Peer-reviewed articles

Methodological research

Lyrvall, J., Kuha, J., & Oser, J. (2025). Two-step multilevel latent class analysis in the presence of measurement non-equivalence. Structural Equation Modeling: A Multidisciplinary Journal, 1-10.

Lyrvall, J., Di Mari, R., Bakk, Z., Oser, J., & Kuha, J. (2025). Multilevel latent class analysis: state-of-the-art methodologies and their implementation in the R Package multilevLCA. Multivariate Behavioral Research, 1-17.

Lyrvall, J., Bakk, Z., Oser, J., & Di Mari, R. (2024). Bias-adjusted three-step multilevel latent class modeling with covariates. Structural Equation Modeling: A Multidisciplinary Journal, 31(4), 592-603.

Applied research

Angelini, F., & Lyrvall, J. (2025). Art on trial: mapping public reactions to scandalous cultural goods in public institutions. Applied Economics Letters, 1-5.

Cellini, R., Cuccia, T., & Lyrvall, J. (2023). On the price dynamics of non-fungible tokens: The ‘Bored Apes’ case. Plos One, 18(11), e0287881.

Pre-prints

Lyrvall, J., Di Mari, R., Bakk, Z., Oser, J., & Kuha, J. (2023). multilevLCA: An R package for single-level and multilevel latent class analysis with covariates. arXiv preprint arXiv:2305.07276.

Software

Di Mari, R. & Lyrvall, J. (2025). multilevLCA: Estimates and Plots Single-Level and Multilevel Latent Class Models. R package version 2.0.1.