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AVE calculation under CFA

edited January 2024 in JASP & BayesFactor

Hi everyone!

I am currently using JSAP for one of my research projects, and I am now using the CFA function to validate my measurement models.

I am very grateful that JASP can directly output the AVE value while I have some questions about the calculation procedure

In the following screenshot, the standardized item loadings are 0.849, 0.799, 0.693, 0.809.

As such, the squared loadings should be: 0.721, 0.638, 0.480, 0.654, and the AVE value should be the average of squared loadings, which is 0.623.

However, it does not equal to the output given by JASP (I am using JASP 0.18.3):

I would much appreciate it if anyone could help me with this issue, thanks a lot in advance! :)


Best Regards,

Bohao

Comments

  • I'll forward this to our experts.

    Cheers,

    E.J.

  • Hi @MaBH,

    The AVE is calculated by the package semTools, from its documentation (https://search.r-project.org/CRAN/refmans/semTools/html/AVE.html) we can read that the AVE is calculated as

    Now I don't have enough intuition to confirm that that is the same as calculating the average of the squared standardized factor loadings.

    From your screenshots, I can't calculate the AVE by hand, as I am missing the covariance matrix of the factors, and the implied covariance of the indicators (alternatively the covariance matrix of the residuals). However, if I try to do the calculations by hand using the formula above in some random datasets, the results match the one of JASP.

    Hope this helps.

    Cheers,

    Simon

  • Hi Simon,

    Thanks a lot for the clarification!

    I think the approach I was using is the original formula proposed in Fornell & Larcker (1981) while the semTools package adopts a more generalized formula, which does not impose any assumptions on factor variance.

    Thanks a lot for helping me with the concepts, as I have learned something meaningful from this. 😀

    Best Regards,

    Bohao

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