SRMR

AcronymDefinition
SRMRStandardized Root Mean Square Residual (structural equation modeling)
SRMRShark Reef Marine Reserve
SRMRSingle-Request/Multiple-Response (electronic messaging)
SRMRSecurity Risk Management Review
SRMRSecurity Requirements Management Review
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References in periodicals archive ?
The first-order CFA results for the one-factor model provided a poor fit to the data: [chi square]/df = 37.69, SRMR = .207, RMSEA = .284, GFI = .65, CFI = .81.
The second-order factor analysis model-fit statistics for the originally proposed model are as follows: CFI = 0.78, RMSEA = 0.11, and SRMR = 0.26, indicating that the six-factor model did not fit very well.
Examination of these CFA fit statistics indicated that the one-factor CFA model did not fit the data as well as would be preferred, though the SRMR of less than .08 was indicative of an acceptable model.
In Sample 2, the seven-factor model fit the data well: [chi square] (131) = 266.81, p < 0.001, CFI = 0.98, TLI = 0.98, RMSEA = 0.05, and SRMR = 0.03, with all factor loadings significant.
The model was found to fit the observed data well: [X.sup.2](35, N = 354) = 93.75, p < .001; GFI = 0.95; CFI = 0.91; SRMR = 0.050; RMSEA = 0.069.
When overall concordance discordance coefficients of the theoretical model were examined, it was determined that CFI and SRMR are acceptable, but 2 and RMSEA are not acceptable.
The fact that the fit indices calculated in the frame of confirmatory factor analysis, especially the chi-square/ degrees of freedom were lower than three, the fact that the SRMR value was lower than 0.1, and the fact that the RMSEA was lower than 0.08 indicated that the scale was suitable at an acceptable level.
Standardised Root Mean Residual (SRMR) is the square root of the discrepancy between the sample covariance matrix and the model covariance matrix.
The model showed good goodness of fit indices ([chi square] = 5.515, df = 2, [chi square] /f = 2.575, CFI = .993, GFI = .996, RMSEA = .051, SRMR = .019); three out five of these indices were greater for APS-G than for STAXI-2 (GFI = .988, CFI = .985, SRMR = .027).
According to Table 8, for the AFC of six factors, results revealed: CMIN/DF = 2.24; CFI = 0.917; RMSEA = 0.064; SRMR = 0.0392; GFI = 0.728; AGFI = 0.694 and TLI = 0.909.