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Table 1 Summary of Goodness Fit Indices for the Measurement Model (IDT and TAM)

From: Development of a new model on utilizing online learning platforms to improve students’ academic achievements and satisfaction

Type of measure Acceptable level of fit Values
Chi–square (χ2) ≤ 3.5 to 0 (perfect fit) and (ρ > .01) 3092.872/1169
Normed Chi–square (χ2) Value should be greater than1.0 and less than 5.0 2.646
Root-Mean Residual (RMR) Close to 0 (perfect fit) 0.33
Normed Fit Index (NFI) Value should be equal to or greater than 0.90. 0.962
Relative Fit Index (RFI) Value should be equal to or greater than 0.90. 0.961
Incremental Fit Index (IFI) Value should be equal to or greater than 0.90. 0.955
Tucker Lewis Index (TLI) Value should be equal to or greater than 0.90. 0.944
Comparative Fit Index (CFI) Value should be equal to or greater than 0.90. 0.932
Root-Mean Square Error of Approximation (RMSEA) Value below 0.10 indicates a good fit and below 0.05 is deemed a very good fit. 0.041