Contents
Which is the best model fit statistic in CFA?
Model Fit Statistics The three main model fit indices in CFA are: Model chi-square this is the chi-square statistic we obtain from the maximum likelihood statistic (similar to the EFA) CFI is the comparative fit index – values can range between 0 and 1 (values greater than 0.90, conservatively 0.95 indicate good fit)
Which is the Confirmatory Factor Index in CFA?
The three main model fit indices in CFA are: Model chi-square this is the chi-square statistic we obtain from the maximum likelihood statistic (similar to the EFA) CFI is the confirmatory factor index – values can range between 0 and 1 (values greater than 0.90, conservatively 0.95 indicate good fit)
Which is a good fit for multiple groups CFA?
Configural and metric invariance models demonstrated a good fit to data, as well as scalar invariance model.
What are the values of the comparative fit index?
CFI is the comparative fit index – values can range between 0 and 1 (values greater than 0.90, conservatively 0.95 indicate good fit) RMSEA is the root mean square error of approximation (values of 0.01, 0.05 and 0.08 indicate excellent, good and mediocre fit respectively, some go up to 0.10 for mediocre).
When do you use confirmatory factor analysis ( CFA )?
In statistics, confirmatory factor analysis ( CFA) is a special form of factor analysis, most commonly used in social research. It is used to test whether measures of a construct are consistent with a researcher’s understanding of the nature of that construct (or factor).
How are EFA and CFA models used in measurement?
EFA and CFA models are widely used in measurement applications for 1) construct validation and scale refinement, 2) multitrait-multimethod validation, and 3) measurement invariance ( MacCallum & Austin, 2000 ).
When to report factor loadings in EFA or Cfa?
For example, in EFA they tend to report only factor loadings that exceed a specific threshold, or in CFA, the initial proposed model and modifications made to improve model fit should also be reported ( Wang, Watts, Anderson, & Little, 2013 ).