Skip to main content
. Author manuscript; available in PMC: 2012 Mar 1.
Published in final edited form as: Psychol Aging. 2011 Mar;26(1):92–110. doi: 10.1037/a0021483

Table 9.

Statistics for Model Fits to Assess Age Invariance.

Model χ2 df p RMSEA 90% CI RMSEA RMSEA Prob. <.05 CFI Δ χ2 df p
4a
 Configural 74.12 84 .771 <.0001 .000 .033 .997 >.999
 Invariance 1 84.62 92 .695 <.0001 .000 .036 .995 >.999 10.16 8 .254
 Invariance 2 94.12 98 .592 <.0001 .000 .039 .992 >.999 19.56 14 .144
4b
 Configural 65.31 76 .804 <.0001 .000 .031 .997 >.999
 Invariance 1 86.31 90 .591 <.0001 .000 .040 .989 >.999 20.10 14 .127
 Invariance 2 92.95 94 .511 <.0001 .000 .043 .985 >.999 26.53 18 .088
4c
 Configural 68.39 76 .721 <.0001 .000 .036 .993 >.999
 Invariance 1 84.20 90 .652 <.0001 .000 .038 .993 >.999 15.18 14 .366
 Invariance 2 93.80 94 .486 <.0001 .000 .044 .982 >.999 24.07 18 .153

Note: χ2= Chi-square value, df = Degrees of Freedom, p = Chi-square p value, RMSEA = Root Mean Square Error of Approximation, 90% CI = 90% Confidence Intervals, Prob. < .05 = Probability that the RMSEA is less than .05, CFI = Comparative Fit Index, Δ χ2= Chi-square difference. See text for details concerning Invariance 1 and Invariance 2.