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. Author manuscript; available in PMC: 2013 Oct 1.
Published in final edited form as: Struct Equ Modeling. 2013 Jul 22;20(3):384–408. doi: 10.1080/10705511.2013.797819

TABLE 4.

Solution 3: Fit Indexes for Alternative Models for Random Data for Manifest Variables Missing Completely

Model χ2 df Prob CFI TLI RMSEA [CI]
Separate analyses by sample
 FACHS (7 manifest variables) 8.54 11 .66 1.000 1.006 .000 [.000, .041]
 CFP (11 manifest variables) 58.77 39 .02 .983 .976 .044 [.017, .067]
 IYFP (7 manifest variables) 6.69 11 .80 1.000 1.008 .000 [.000, .035]
 Total 73.36 61
 FACHS (11 manifest variables) 8.56 11 .66 1.000 1.015 .000 [.000, .041]
 IYFP (11 manifest variables) 6.16 11 .86 1.000 1.024 .000 [.000, .029]
Three-group analyses
 Configural invariance 73.49 61 .13 .996 .989 .024 [.000, .042]
  FACHS 8.56
  CFP 58.77
  IYFP 6.16
 Weak factorial invariance 95.94 69 .02 .991 .979 .033 [.014, .048]
 Strong factorial invariance 139.42 77 <.001 .979 .956 .048 [.035, .060]
 Strict factorial invariance 255.98 91 <.001 .945 .901 .071 [.061, .082]

Note. Family and Community Health Study (FACHS) study N = 428 African American families; California Families Project (CFP) study N = 262 Mexican-origin families; and (IYFP) study N = 385 European American families. CFI = Comparative Fit Index; TLI = Tucker–Lewis I; RMSEA [CI] = root mean square error of approximation and its associated confidence interval.