interpreting of the anova result.

[Stan Silver]

> anova(df_com_cfa,df_com_cfa2)
Scaled Chi-Squared Difference Test (method = “satorra.2000”)

lavaan NOTE:
    The “Chisq” column contains standard test statistics, not the
    robust test that should be reported per model. A robust difference
    test is a function of two standard (not robust) statistics.
 
              Df AIC BIC Chisq Chisq diff Df diff          Pr(>Chisq)    
df_com_cfa  1550         36595                                          
df_com_cfa2 1558         40530       3510       8 <0.0000000000000002 ***
---

Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Which model is better,df_com_cfa or df_com_cfa2?

[car...@web.de]

The second model is significantly worse, based on this test. Looking at chisq and df, however, one might suspect that both models are misspecified. In this case the test is invalidated. Check the model fit.

Am 23.07.20, 10:22 schrieb Stan Silver <mailtoy...@gmail.com>:

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