Standardized Room Mean Square Residual (SRMR) is an index of approximate model fit that is calculated as the standardized root mean squared difference between the model-implied and observed correlations in Σ(θ) and S, respectively.53 Higher SRMR values indicate a larger discrepancy between Σ(θ) and S. It is positively-biased, with larger bias resulting when the contributing univariate GWAS samples are lower powered. SRMR values below .10 indicate acceptable fit, values less than .05 indicate good fit, and a value of 0 indicates perfect fit.54
