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Acronym: AIC
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Akaike information criterion
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ther fit measures. Conceptually it is a function of the sample size and the difference between the observed covariance matrix and the model covariance matrix. * Akaike information criterion (AIC) ** A test of relative model fit: The preferred model is the one with the lowest AIC value. ** \mathit{AIC} = 2k - 2\ln(L)\, ** where ''k'' is the number of parameters in the [[statistical mo |
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Acronym: SRMR
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Standardized Root Mean Residual
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in the statistical model, and ''L'' is the maximized value of the likelihood of the model. * Root Mean Square Error of Approximation (RMSEA) * Standardized Root Mean Residual (SRMR) * Comparative Fit Index (CFI) For each measure of fit, a decision as to what represents a good-enough fit between the model and the data must reflect other contextual factors such as [[sample |
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