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Table 2 Fit indices of the Bayesian 1-factor and 2-factor EFA models of the Urbanicity Scale from 2000 to 2015

From: Longitudinal measurement invariance in urbanization index of Chinese communities across 2000 and 2015: a Bayesian approximate measurement invariance approach

Year N Model # 2.5%
PPL
97.5%
PPL
PPP BIC PP RMSEA CFI
2000 217 1-factor 36 19.4 80.8 0.002 10,277 0.9996 0.067 0.951
2-factor 47 −17.4 53.7 0.157 10,293 0.0004 0.049 0.979
2004 216 1-factor 36 −6.9 59.4 0.052 10,428 1.0000 0.050 0.977
2-factor 47 −22.8 41.3 0.272 10,460 0.0000 0.043 0.986
2006 218 1-factor 36 13.3 75.7 0.003 10,589 1.0000 0.063 0.963
2-factor 47 −15.7 49.4 0.135 10,611 0.0000 0.055 0.976
2009 218 1-factor 36 16.4 79.2 0.002 10,580 1.0000 0.064 0.959
  2-factor 47 −12.7 53.1 0.119 10,603 0.0000 0.061 0.969
2011 290 1-factor 36 62.6 127.0 0.000 13,960 0.9598 0.069 0.945
2-factor 47 14.8 81.3 0.004 13,967 0.0402 0.063 0.964
2015 288 1-factor 36 10.0 76.1 0.010 14,154 1.0000 0.054 0.962
2-factor 47 −10.8 57.3 0.087 14,187 0.0000 0.047 0.971
  1. EFA exploratory factor analysis, # number of free parameters, PPL posterior predictive limit, PPP posterior predictive p-value, BIC Bayesian information criterion, PP posterior probability, RMSEA root mean square error of approximation, CFI comparative fit index, TLI Tucker-Lewis index