Affirm Journal of Multilevel Analysis
Affirm Journal of Multilevel Analysis is an international and peer-reviewed journal with an intercontinental advisory board. The journal documents the professional’s interest in any areas that connect to multilevel analysis. The focus of the journal is on theories and practice in dispersion matrix, bivariate multilevel models, and loss function. The editorial board of the Affirm Journal of Multilevel Analysis invites authors to submit original papers, empirical studies, case studies and review papers to the journal. At Affirm Journal of Multilevel Analysis, we expect the authors to abide Principles of Transparency and Best Practice in Scholarly Publishing suggested by The Committee on Publication Ethics (COPE), the Directory of Open Access Journals (DOAJ), the Open Access Scholarly Publishers Association (OASPA), and Scopus.
Scope and Focus
Bivariate multilevel models
Dispersion Matrix
Full Information Maximum Likelihood
Loss Function
Multilevel Analysis
Random Coefficient Models
Editor in chief
Dr. Loghman
Abstracting and Indexing
Google Scholar