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. 2022 Nov 21;78(Suppl 1):S15–S26. doi: 10.1093/geronb/gbac145

Table 4.

Model Fit Statistics

Model χ 2 (df), p value Δχ 2 (df)2, p value RMSEA (90% CI) CFI TLI
EOL versus non-EOL
 Configural invariance (factor structure) 129.786 (38), <.0001 .051 (.042, .061) .963 .946
 Metric invariance (factor loadings) 129.296 (44), <.0001 9.373 (6), .154 .046 (.037, .055) .966 .956
 Scalar invariance (item thresholds) 152.521 (58), <.0001 35.147 (14), .0014 .042 (.034, .050) .962 .963
 Partial scalar invariance 141.230 (55), <.0001 19.352 (11), .06 .041 (.033, .050) .965 .965
EOL dementia versus EOL non-dementia
 Configural invariance (factor structure) 41.67 (38), .31 .03 (.000, .068) 1.0 1.0
 Metric invariance (factor loadings) 48.061 (44), .31 7.178 (6), .305 .026 (.000, .065) 1.0 1.0
 Scalar invariance (item thresholds) 69.29 (58), .15 25.33 (14), .032 .038 (.000, .068) 1.0 1.0
 Partial scalar invariance 64.64 (57), .23 18.86 (13), .13 .031 (.000, .064) .99 .99

Notes: Δχ 2 = change in chi-square; ΔCFI = change in CFI value; CFI = comparative fit index; CI = confidence interval; EOL = end-of-life; RMSEA = root mean square error of approximation; TLI = Tucker–Lewis index.