Hello,
I need to report the GoF AIC, BIC, CAIC and EN of my model. Unfortunately I was not able to find them in SmartPLS. How can I calculate these indicators?
Thank you,
Dennis
Goodness of Fit indicators AIC, BIC, CAIC and EN
Goodness of Fit indicators AIC, BIC, CAIC and EN
Found out at last:
In the menu: Calculate -> FIMIX-PLS -> apply settings -> Finish
Then:
in the menu: Report -> Default Report (or any other)
in the report: FIMIX-PLS/Quality criteria/Fit Indices
In the menu: Calculate -> FIMIX-PLS -> apply settings -> Finish
Then:
in the menu: Report -> Default Report (or any other)
in the report: FIMIX-PLS/Quality criteria/Fit Indices
Goodness of Fit indicators AIC, BIC, CAIC and EN
Good article on GoF:
Wicherts, J.M., Dolan, C.V., (2004) A Cautionary Note on the Use of Information Fit Indexes in Covariance Structure Modeling With Means, Structural Equation Modeling, 11(1), pp45-50.
Available at: http://wicherts.socsci.uva.nl/cautionarynote.pdf
Wicherts, J.M., Dolan, C.V., (2004) A Cautionary Note on the Use of Information Fit Indexes in Covariance Structure Modeling With Means, Structural Equation Modeling, 11(1), pp45-50.
Available at: http://wicherts.socsci.uva.nl/cautionarynote.pdf
For a GoF with a threshold of ,50 check page 46 of:
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. http://www.jstor.org/stable/3151312
available here
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. http://www.jstor.org/stable/3151312
available here
- Diogenes
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Hi,
In the p.59 of
ESPOSITO VINZI, V. TRINCHERA, L.; AMATO, S. PLS path modeling: from foundations to recent developments and open issues for model assessment and improvement. In: V. Esposito Vinzi; W. W. Chin; J. Henseler; H. Wang (Eds.); Handbook of partial least squares. p.47-82, 2010. Berlin, Heidelberg: Springer Berlin Heidelberg.
They explain a “relative GoF” to be used in PLS-PM and it was implemented in the XLSTAT-PLSPM (free for 30 day).
Best regards,
Bido
In the p.59 of
ESPOSITO VINZI, V. TRINCHERA, L.; AMATO, S. PLS path modeling: from foundations to recent developments and open issues for model assessment and improvement. In: V. Esposito Vinzi; W. W. Chin; J. Henseler; H. Wang (Eds.); Handbook of partial least squares. p.47-82, 2010. Berlin, Heidelberg: Springer Berlin Heidelberg.
They explain a “relative GoF” to be used in PLS-PM and it was implemented in the XLSTAT-PLSPM (free for 30 day).
Best regards,
Bido
Hello Bido,
Thank you. XLSTAT-PLSPM looks an interesting program.
I also found interesting info in this thread: viewtopic.php?t=1094
Best regards,
Dennis
Thank you. XLSTAT-PLSPM looks an interesting program.
I also found interesting info in this thread: viewtopic.php?t=1094
Best regards,
Dennis
GoF and EN
Very useful stuff.
Can the EN from FIMIX be used to assess the PLS goodness of fit?
or does it relate to the segmentation only?
In that case, is the option by Tenenhaus et al. the only way of calculating a GoF?
thanks
Can the EN from FIMIX be used to assess the PLS goodness of fit?
or does it relate to the segmentation only?
In that case, is the option by Tenenhaus et al. the only way of calculating a GoF?
thanks
I don't know how to read the fit indices
I don't know how to read the following fit indices:
AIC 536.388266
BIC 695.195753
CAIC 695.477444
EN 0.549907
can anyone help please
AIC 536.388266
BIC 695.195753
CAIC 695.477444
EN 0.549907
can anyone help please
Re: I don't know how to read the fit indices
You need the compare the index values for different segment (K).mbitar wrote:I don't know how to read the following fit indices:
AIC 536.388266
BIC 695.195753
CAIC 695.477444
EN 0.549907 (EN>0.5 considered unambigous segmentation)
can anyone help please
Refer to:
Ringle, C.M (2006). Segmentation for Path Models and Unobserved Heterogeneity: The Finite Mixture Partial Least Square Approach. University of Hamrmburg.
Sarstedt, M., Becker, J.-M., Ringle, C. M., & Schwaiger, M. (2011a).
Uncovering and treating unobserved heterogeneity with FIMIXPLS:
which model selection criterion provides an appropriate
number of segments? Schmalenbach Business Review, 63(1), 34–
62.