Advantages of using unweighted approximation error measures for model fit assessment

HIGHLIGHTS

  • who: Dirk Lubbe from the (UNIVERSITY) have published the research: Advantages of Using Unweighted Approximation Error Measures for Model Fit Assessment, in the Journal: (JOURNAL)
  • what: This approach has the advantage that conventional cut-off criteria for the RMSEA can be used for categorical data as well. Another approach, which is pursued in more detail in the following, aims to eliminate the impact of random-error-related scaling entirely. This article proposes a more general approach than the previous fit index adjustments. This was achieved by numerical optimization, iteratively optimizing the population model discrepancy with . . .

     

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