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Will an acceptable and fit for purpose blueprint for global governance emerge?
The CFI/NNFI and IFI differ along a 0too 1 continuum in which values greater than.90 are.95 are considered to show an acceptable and outstanding fit of the data (Bentler, 1990).
A RMSEA value of less than or equal to 0.1 corresponds to an "acceptable" fit, and 0.05 or lower indicates a "good" fit.
According to generally accepted cutoff values, CFI values >0.90 represent an acceptable fit and >0.95 represent a good fit; RMSEA and SRMR values between 0.05 and 0.08 suggest an acceptable fit, and >0.10 a poor fit, whereas values <0.05 indicate a good fit (Hu and Bentler 1999).
The Root Mean Square Error of Approximation (RMSEA) is the proportion of variance-covariance information not correctly predicted by the model, with values of ≤ .08 indicating an acceptable fit and values ≤ .05 a good fit [ 44].
It has been suggested that RMSEA ≤0.05 indicates a good fit to the data, RMSEA ≤ 0.08 indicates an acceptable fit, and RMSEA ≥0.10 should not be accepted [ 43].
A value > 0.90 indicates an acceptable fit and a value > 0.95 indicates a close fit of the model [ 33].
Our model demonstrated an acceptable model fit and revealed direct and indirect effects of the factors.
For the RMSEA values <.08 indicate an acceptable model fit and for the χ/ df statistic values between 2 and 4 indicate sufficient model fit.
According to Hu and Bentler (1999), CFI and TLI >.90 point to an acceptable fit, CFI and TLI >.95 indicate a good fit of the model.
Since there are no absolute standards, a ratio between 2 and 3 is proposed to be indicative of, respectively a good and an acceptable model fit (Schermelleh-Engel and Moosbrugger 2003).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com