1996
DOI: 10.1080/10705519609540052
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CFI versus RMSEA: A comparison of two fit indexes for structural equation modeling

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Cited by 532 publications
(433 citation statements)
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“…As argued by several authors (Diamantopoulos, Siguaw, & Siguaw, 2000;Fan, Thompson, & Wang, 1999;Hu & Bentler, 1998;Rigdon, 1996;Schermelleh-Engel et al, 2003), the fit indexes RMSEA and CFI do not depend on sample size, as strongly as χ 2 . In addition, they are sensitive to structural model misspecifications and to the number of estimated parameters in the model.…”
Section: Discussionmentioning
confidence: 82%
“…As argued by several authors (Diamantopoulos, Siguaw, & Siguaw, 2000;Fan, Thompson, & Wang, 1999;Hu & Bentler, 1998;Rigdon, 1996;Schermelleh-Engel et al, 2003), the fit indexes RMSEA and CFI do not depend on sample size, as strongly as χ 2 . In addition, they are sensitive to structural model misspecifications and to the number of estimated parameters in the model.…”
Section: Discussionmentioning
confidence: 82%
“…In such contexts, the model may not represent data reasonably well. CFI equal to or greater than .90 indicates reasonable global fit (Rigdon, 1996). The SRMR less than .05 indicates acceptable fit (Byrne, 1998).…”
Section: Discussionmentioning
confidence: 99%
“…Using CFA, we first tested the two-factor model by following the structure of the original U.S. scale, taking into account the 18 items related to the anxiety dimension and the 18 items related to the avoidance dimension. (Rigdon, 1996). Therefore, if for instance RMSEA is already relatively small in the null model, CFI is likely to fall below the range considered to represent good model fit even if substantial absolute improvement in the specified model has occurred.…”
Section: Structure Of the Scalementioning
confidence: 99%