Sentences with phrase «absolute fit indices»
In this respect, they distinguish, among others, absolute fit indices which compare the hypothesized model with no model at all, comparative or incremental indices of fit which use a baseline model for assessing model fit, and parsimony fit indices which penalize for model complexity (Byrne, 2016).
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Multiple indices were used to evaluate different aspects of model fit (ie, absolute fit, fit adjusting for model parsimony, fit relative to a null model).
Evaluation of model fit was based on multiple criteria, including the theoretical meaningfulness of the model, absolute - fit indices (how well a model fits the data, without comparing to a baseline model), incremental fit measures (how much better the model fits than a baseline model) and model cross-validation (how the model can be replicated with an independent sample).