A User’s Guide to MLwiN, Version 2.10

By J. Rasbash, William J. Browne, Harvey Goldstein, Min Yang, I. Plewis, M. Healy, G. Woodhouse, D. Draper, I. Langford, T. Lewis. 2000

467 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Explaining Fixed Effects: Random Effects Modeling of Time-Series Cross-Sectional and Panel Data* (2014, unknown): “…xjÞ1 s 2 u1ðxij xjÞ 2 ð16Þ and at Level 1, it is var½e0ij 1 e1ijðxij xjÞ 5 s2e0 1 2se0e1ðxij xjÞ1 s 2 e1ðxij xjÞ 2: ð17Þ These can often be substantively interesting, as well as correct misspecification of a model that would otherwise assume homogeneity at each level (Rasbash et al. 2009, 106).”
Multilevel and SEM Approaches to Growth Curve Modeling (2005, methodology): “On the one hand, the model can be constructed as a standard two-level multilevel regression (MLR) model [4, 5, 20] (see Linear Multilevel Models).”