Data collapse in the critical region using finite-size scaling with   subleading corrections
  We propose a treatment of the subleading corrections to finite-size scaling that preserves the notion of data collapse. This approach is used to extend and improve the usual Binder cumulant analysis. As a demonstration, we present results for the two- and three-dimensional classical Ising models and the two-dimensional, double-layer quantum antiferromagnet. 
K. S. D. Beach, Ling Wang, and Anders W. Sandvik