Multilevel ordinal models for examination grades

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A multilevel modelling approach to investigating the predictive validity of editorial decisions: do the editors of a high profile journal select manuscripts that are highly cited after publication? (2011, background): “However, other formulations are also possible (see Fielding et al. (2003)).”
Multilevel Models for Ordinal and Nominal Variables (2008, methodology): “Extending the methods for dichotomous responses to ordinal response data has also been actively pursued [4, 29, 30, 44, 48, 58, 106, 113].”
Linear quantile mixed models (2013, unknown): “…(31.54) T1 0.72 (7.28) 0.40 (10.52) Trt −0.64 −0.39 (1.30) 0.25 0.15 (1.95) Trt: T1 0.76 0.89 −0.75 (13.31) 0.58 0.94 0.04 (15.27) 5.2 A-level Chemistry scores The dataset consists of A-level Chemistry examination scores in 1997 from 31,022 students in 2410 English schools (Fielding et al. 2003).”