Confirmatory Factor Analysis (PCLOSE) Urgent help needed!!!

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  • #1148

    Hi

     I am trying to use for the first time Amos and perform a Confirmatory Factor Analysis.

    The model I have designed on AMOS did run however the Model fit more precisely the PCLOSE is causing me some problems as it is estimated to be equal to 1.000 for the model.

    DESPERATELY NEED HELP GUYS!!!!!

    #1150

    Ideally Pclose should be greater than 0.5 and corresponding RMSEA LESSER than 0.5. You need to have NFI greater than 0.9 . Infact all fit indices should be greater than 0.9 for a good fit or else you have to reconsider your sample size.

    #1149

    Hi Debjani,

    But would a Pclose = 1.000 be a problem. I am wondering because it is supposed to be the ceiling. NFI is actually 848

    Below is the model fit summary

    Model Fit Summary
    CMIN
    Model NPAR CMIN DF P CMIN/DF
    Default model 169 1831.779 1371 .000 1.336
    Saturated model 1540 .000 0
    Independence model 55 12066.810 1485 .000 8.126
    RMR, GFI
    Model RMR GFI AGFI PGFI
    Default model .028 .842 .823 .750
    Saturated model .000 1.000
    Independence model .143 .330 .305 .318
    Baseline Comparisons
    Model NFI
    Delta1
    RFI
    rho1
    IFI
    Delta2
    TLI
    rho2
    CFI
    Default model .848 .836 .957 .953 .956
    Saturated model 1.000 1.000 1.000
    Independence model .000 .000 .000 .000 .000
    Parsimony-Adjusted Measures
    Model PRATIO PNFI PCFI
    Default model .923 .783 .883
    Saturated model .000 .000 .000
    Independence model 1.000 .000 .000
    NCP
    Model NCP LO 90 HI 90
    Default model 460.779 353.410 576.217
    Saturated model .000 .000 .000
    Independence model 10581.810 10235.018 10935.155
    FMIN
    Model FMIN F0 LO 90 HI 90
    Default model 5.234 1.317 1.010 1.646
    Saturated model .000 .000 .000 .000
    Independence model 34.477 30.234 29.243 31.243
    RMSEA
    Model RMSEA LO 90 HI 90 PCLOSE
    Default model .031 .027 .035 1.000
    Independence model .143 .140 .145 .000
    AIC
    Model AIC BCC BIC CAIC
    Default model 2169.779 2234.160 2822.252 2991.252
    Saturated model 3080.000 3666.667 9025.611 10565.611
    Independence model 12176.810 12197.762 12389.153 12444.153
    ECVI
    Model ECVI LO 90 HI 90 MECVI
    Default model 6.199 5.893 6.529 6.383
    Saturated model 8.800 8.800 8.800 10.476
    Independence model 34.791 33.800 35.800 34.851
    HOELTER
    Model HOELTER
    .05
    HOELTER
    .01
    Default model 279 286
    Independence model 46 47
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