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

This topic has 2 replies, 2 voices, and was last updated 6 years, 10 months ago by Debjani Bhattacharya.

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20th March 2014 at 5:32 pm #1148

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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!!!!!

20th March 2014 at 7:31 pm #1150

Debjani Bhattacharya

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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.

20th March 2014 at 7:35 pm #1149

Mouhamed Thiam

Member

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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