ahmad
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to lavaan
Hi all,
I was reading Chapter 18, Categorical Confirmatory Factor Analysis, from Kline’s book Principles and Practice of Structural Equation Modeling. In this chapter, he provides an example of how to analyse a CFA with categorical indicators with results and codes. When reporting the model fit indices, he states:
“Values of selected robust fit statistics are listed next
χ²WLSMV(5) = 17.895, p = .003
RMSEA = .036, 90% CI [.019, .055]
CFI = .994, SRMR = .022”
However, in the lavaan output provided in the companion website, the robust model fit values are different. Please see below for the output of his analysis. Am I missing something here, or is there an explanation for this difference?
lavaan 0.6-19 ended normally after 18 iterations
Estimator DWLS
Optimization method NLMINB
Number of model parameters 20
Number of observations 2004
Model Test User Model:
Standard Scaled
Test Statistic 8.786 17.895
Degrees of freedom 5 5
P-value (Chi-square) 0.118 0.003
Scaling correction factor 0.494
Shift parameter 0.104
simple second-order correction
Model Test Baseline Model:
Test statistic 3117.695 2336.488
Degrees of freedom 10 10
P-value 0.000 0.000
Scaling correction factor 1.336
User Model versus Baseline Model:
Comparative Fit Index (CFI) 0.999 0.994
Tucker-Lewis Index (TLI) 0.998 0.989
Robust Comparative Fit Index (CFI) 0.988
Robust Tucker-Lewis Index (TLI) 0.976
Root Mean Square Error of Approximation:
RMSEA 0.019 0.036
90 Percent confidence interval - lower 0.000 0.019
90 Percent confidence interval - upper 0.040 0.055
P-value H_0: RMSEA <= 0.050 0.995 0.887
P-value H_0: RMSEA >= 0.080 0.000 0.000
Robust RMSEA 0.061
90 Percent confidence interval - lower 0.032
90 Percent confidence interval - upper 0.093
P-value H_0: Robust RMSEA <= 0.050 0.236
P-value H_0: Robust RMSEA >= 0.080 0.177
Standardized Root Mean Square Residual:
SRMR 0.022 0.022
Best wishes,
Ahmad