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A RMSEA value of <= 0.08 is generally accepted as an upper bound for acceptable fit [ 29].
A RMSEA value of less or equal to 0.08 is generally accepted as an upper bound for acceptable fit [ 32].
The CFI should be >.95 to indicate good fit and >.90 for acceptable fit (Hu and Bentler 1999).
The results show that their values are close to the recommended 0.80 threshold for acceptable fit (Scott 1994; Bagozzi and Yi 1988), but do not meet the more restrictive 0.90 threshold level (Bollen 1989); whereas AGFI, which is a measure that represents overall degree of fit (squared residuals from prediction compared to the actual data), is on the low side.
The measure Root Mean Square Error of Approximation (RMSEA) (limit for acceptable fit: below 0.05) was also applied.
The cut for acceptable fit indices was ≤ 0.09 for RMSEA and ≥0.90 for CFI and TLI [ 19].
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NOTE: For thresholds of acceptable fit see Hair et al. [ 22] and Bollen [ 23] Furthermore, two out of three indices of local fit, as presented in Table 4 indicated a good convergent validity: except for the dimension Supervisor/manager expectations/actions, no scale included more than one item with an indicator reliability ≤.30.
It is suggested that values close to 0.06 are indicative of acceptable fit for RMSEA (42).
More unexpectedly, both layer II and layer III generated models of acceptable fit for the novel object condition.
A value of >0.90 for GFI, CFI, and IFI served as a cutoff for an acceptable fit [ 18, 19].
The resulting model was tested for an acceptable fit (CFA, maximum likelihood).
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