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A value > 0.90 indicates an acceptable fit and a value > 0.95 indicates a close fit of the model [ 33].
A value of >0.90 for GFI, CFI, and IFI served as a cutoff for an acceptable fit [ 18, 19].
When using OSP as an adsorbent, both linear and Freundlich models indicated an acceptable fit at a pH of 7.0, where the R2 values ranged from 0.992-0.995.
A value < 0.05 is considered to indicate a close fit and a value ≤ 0.08 indicates an acceptable fit (see [ 32]).
A RMSEA of less than.10 indicates an acceptable fit, while less than.05 indicates a good fit.
A Good Bet provides an acceptable fit in most vehicles.
This model showed an acceptable fit with a chi square value of 360 (df = 506).
The confirmatory factor analysis showed an acceptable fit with a CFI of 0.82 and NFI of 0.80, but the error was higher (RMSEA = 0.12) than the recommended value of 0.08 [ 28].
A RMSEA value <0.08 indicates an acceptable fit to the data, while values <0.05 indicate a good fit to the data (30).
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).
RMSEA values of < .05 indicate a good fit to the data, values between.05 and.08 acceptableble fit, values between.08 and.10 a marginal fit, and values > .10 a poor fit [ 17].
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CEO of Professional Science Editing for Scientists @ prosciediting.com