Baseline Comparisons

Baseline Comparisons

ØBaseline Comparisons

The Baseline Comparisons  table can be found under: View → Text Output → Model fit → Baseline Comparisons




 

Baseline Comparisons

Model

NFI

RFI

IFI

TLI

CFI

Delta1

rho1

Delta2

rho2

Default model

0,989

0,983

0,986

0,964

0,984

Saturated model

1

1

1

Independence model

0

0

0

0

0

 

v NFI

NFI = Normed fit Index also called Delta 1 (Bollen, 1898b), which consists of scaling values between the (terribly fitting) independence model and the (perfectly fitting) saturated model.

 

Interpretation:

 

A value of NFI = 1 indicates a perfect fit.

 

While models with a value NFI < 0,9 can usually be significantly improved

Bentler & Bonett, 1980

A value NFI ≥ 0,9 indicates a reasonable fit

Bentler & Bonett, 1980

Suggested that values above 0.95 indicate a good fit,

values between 0.90 and 0.95 indicate an acceptable fit,

and values below 0.90 indicate a poor fit.

Hu and Bentler 1999

 

www.StatistischeBeratung.de

 

NFI are 0,989 for our tested (default) model, this is considered an excellent fit.

 

v RFI

RFI = Relative fit Index and derived from NFI. The reference values for RFI (Relative fit Index) are not as established as for other fit indices.

The reference values may depend on the complexity of the model and the sample size.

 

Interpretation:

 

A value of RFI = 1 indicates a perfect fit.

 

A value of RFI closed to 1 indicate a very good fit

 

A value RFI ≥ 0,9 indicates a reasonable fit

 

suggest that values above 0.90 indicate an acceptable fit,

and values above 0.95 indicate a good fit

Hu and Bentler, 1999

recommends a cutoff of 0.90 for acceptable fit,

but notes that the reference values may depend on the complexity of the model and the sample size.

Kline, 2011

 

www.StatistischeBeratung.de

 

RFI are 0,983 for our tested (default) model, this is considered an excellent fit.

 

v IFI

IFI = Incremental fit Index.

 

Interpretation:

 

A value of IFI = 1 indicates a perfect fit.

 

A value of IFI closed to 1 indicate a very good fit

 

A value IFI ≥ 0,9 indicates a reasonable fit

 

Suggest that IFI values of 0,90 or higher indicate good model fit, while values between 0,80 and 0,90 suggest acceptable fit

Bentler, 1990; Hu & Bentler, 1999

Suggested more conservative cutoffs, such as IFI values of 0,95 or higher for good fit

Marsh, Hau, & Wen, 2004

 

www.StatistischeBeratung.de

 

It's important to note that reference values for IFI can vary depending on the complexity and size of the model, as well as the sample size and characteristics of the population being studied. Therefore, researchers should interpret IFI values in the context of their specific analysis and use their judgment to determine what constitutes acceptable or good fit.

IFI are 0,986 for our tested (default) model, this is considered an excellent fit.

 

v TLI *

TLI = Tucker-Lewis coefficient also known as Bentler-Bonett non-normed fit index (NNFI) ranges from (but not limited to) 0 to 1 where a value closer to 1 represents a very good fit while 1 represents a perfect fit.

The reference values for TLI (Tucker-Lewis Index) vary depending on the sample size and complexity of the model.

 

Interpretation:

 

A value of TLI = 1 indicates a perfect fit.

 

Some researchers have suggested that TLI values above 0,80 are acceptable in smaller samples or less complex models.

 

For the model to be acceptable it should have a TLI value higher than 0,9

Brown, 2006

For an excellent model it is necessary that the TLI value be higher than 0,95

Brown, 2006

A value TLI ≥ 0,9 indicates a reasonable fit

 

 

www.StatistischeBeratung.de

 

TLI are 0,964 for our tested (default) model, this is considered an excellent fit.

 

v CFI *

CFI = Comparative fit Index has value truncated between 0 and 1.

Interpretation:

 

A value of CFI = 1 indicates a perfect fit.

Hu & Bentler, 1999

A values of CFI closed to 1 show a very good fit.

 

A CFI value of ≥ 0,95

Hu & Bentler, 1999

A CFI value of ≥ 0,90

Homburg/Baumgartner, 1998, S.363

A value CFI  ≥ 0,90 indicates an acceptable fit

Fan et al., 1999

A CFI value of ≥ 0,95 is considered an excellent fit for the model

West et al., 2012

 

www.StatistischeBeratung.de

 

CFI are 0,984 for our tested (default) model, this is considered an excellent fit.

   


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Statistische Beratung Leonardo Miljko  January 10, 2020 How to interpret SEM model fit results in AMOS. viewed datum < https://www.StatistischeDatenAnalyse.de/images/services/How_to_interpret_SEM_model_fit_results_in_AMOS.pdf >


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