ASSESSING THE FIT OF MODEL
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Abstract
This article discusses the fit indices used for evaluating model fit, focusing on four primary indices χ² statistic, RMSEA, CFI, and SRMRand other. The χ² statistic should be as low as possible or close to 0 and should not be statistically significant at the .05 level. The RMSEA should be less than .05 to indicate good fit, CFI should be above .90 to .95 for good fit, and SRMR should be below .05 to indicate good fit as well. Additionally, other indices such as GFI, AGFI, NFI, TLI, CFI, and PGFI are considered, each with its own criteria for assessing fit. Choosing among fit indices should involve considering multiple indices together to ensure a comprehensive and reliable evaluation of model fit.
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