A time and a place for incremental fit indices

By Jeremy Miles, Mark Shevlin. 2007

367 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/fa574f47fb5d9af50c46754ca3b66b5c2c946df1

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In Statistics and Probability

Citations in the corpus

Testing Structural Equation Models or Detection of Misspecifications? (2009, methodology): “For a more elaborate study of this phenomenon, providing data for more different types of misspecifications and more FIs, we refer to Miles and Shevlin (2007) and for the effect of the model specification to Fan and Sivo (2007) .”
Evaluating Model Fit:a Synthesis of the Structural Equation Modelling Literature (2008, neutral): “Incremental Fit Indices Incremental fit indices, also known as comparative (Miles and Shevlin, 2007) or relative fit indices (McDonald and Ho, 2002), are a group of indices that do not use the chisquare in its raw form but compare the chi-square value to a baseline model.”
Reporting practices in confirmatory factor analysis: an overview and some recommendations. (2009, background): “Several authors responded to Barrett’s article and indicated that such ancillary fit measures should not be abandoned (e.g., Bentler, 2007; Miles & Shevlin, 2007; Millsap, 2007; Steiger, 2007), whereas other authors expressed concerns about the ways that the indices were being used and the seeming…”
The Relationship Between Root Mean Square Error of Approximation and Model Misspecification in Confirmatory Factor Analysis Models (2012, background): “Miles and Shevlin (2007) and Saris et al. (2009) have also demonstrated that RMSEA is strongly influenced by factor loadings, and in particular that it can fall above or below .05 as their function, all other things being equal.”
Current Methodological Considerations in Exploratory and Confirmatory Factor Analysis (2011, background): “Muthén and Muthén (2002) recommend three criteria for determining a sample size to achieving an adequate level of precision for a particular model: (1) bias for parameters and their standard errors should not exceed 10% for any parameter.”
Structural equation modelling: guidelines for determining model fit (2008, result): “Incremental fit indices, also known as comparative ( Miles and Shevlin, 2007 ) or relative fit indices (McDonald and Ho, 2002), are a group of indices that do not use the chi-square in its raw form but compare the chisquare value to a baseline model.”
Interest, enjoyment and pride after failure experiences? Predictors of students’ state-emotions after success and failure during learning in mathematics (2011, background): “In an early paper on goal orientation, Nicholls et al. (1989) emphasised the relationship between goal orientations and different beliefs students hold concerning the causes of success.”
Self-regulation in online learning (2013, methodology): “Model fits χ2 p CFI GFI RMSEA Recommended value N/A >.05 >.90 >.90 .06 Tested model 18.56 .420 .996 .929 .022 Intrinsic goal orientation Extrinsic goal orientation Academic self-efficacy Metacognitive regulation Effort regulation Interaction regulation Achievement Total amount of login time in Blac”