Now available as open access article: “Multilevel Analysis with Few Clusters”¶
Our paper on “Multilevel Analysis with Few Clusters: Improving Likelihood-based Methods” is now published as an open access article by the British Journal of Political Science (Elff, Heisig, Schaeffer, and Shikano 2021), along with a comment by Daniel Stegmueller (Stegmueller 2020) and a response by us (Elff, Heisig, Schaeffer, and Shikano 2021).
Performance of Likelihood-based Estimators of Random Intercept Variances in Multilevel Linear and Probit Models¶
It took a while from the initial acceptance of the paper to its final publication, because the journal wanted to publish the paper together with the comments and the response. Both the comments and the response are also peer reviewed, which explains the delay.
References
Elff, Martin, Jan Paul Heisig, Merlin Schaeffer, and Susumu Shikano. 2021. “Multilevel Analysis with Few Clusters: Improving Likelihood-based Methods to Provide Unbiased Estimates and Accurate Inference”. British Journal of Political Science 51(1): 412-426.
Elff, Martin, Jan Paul Heisig, Merlin Schaeffer, and Susumu Shikano. 2021. “Rejoinder to Daniel Stegmueller’s Comments”. British Journal of Political Science 51(1): 460-462.
Stegmueller, Daniel. 2020. “Comment on Elff et al.”. British Journal of Political Science .
