How is the total number of parameters in a CFA model determined?

How is the total number of parameters in a CFA model determined?

The total number of parameters in a CFA model is determined by the number of known values in your population variance-covariance matrix Σ, given by the formula p ( p + 1) / 2 where p is the number of items in your survey.

Which is the best review for the CFA exam?

If you can only schedule around 100 or so hours to prepare for the Level I CFA® exam, The Princeton Review is by far your best choice. In the absolute worst case scenario that you enroll in their course and still fail your exam, all is not lost!

Which is the best method for ordinal CFA?

Several methods such as asymptotically generalized least squares (AGLS) and robust maximum likelihood (RML) have been recommended specifically for ordinal structural equation models (SEMs, e.g., Muthén, 1984; Jöreskog, 1994; Yang-Wallentin et al., 2010; Yuan et al., 2011). These methods generally work well with sufficiently large samples.

Which is the best example of an estimator?

A good example of an estimator is the sample mean x, which helps statisticians to estimate the population mean, μ. There are three desirable properties every good estimator should possess. These are: Unbiasedness. Efficiency.

When did confirmatory factor analysis ( CFA ) become popular?

EFA has a longer historical precedence, dating back to the era of Spearman (1904) whereas CFA became more popular after a breakthrough in both computing technology and an estimation method developed by Jöreskog (1969). This distinction shows up in software as well.

How does confirmatory factor analysis differ from exploratory factor analysis?

Confirmatory factor analysis borrows many of the same concepts from exploratory factor analysis except that instead of letting the data tell us the factor structure, we pre-determine the factor structure and verify the psychometric structure of a previously developed scale.

Is there a difference between EFA and CFA?

More recent work by Asparouhov and Muthén (2009) blurs the boundaries between EFA and CFA, but traditionally the two methods have been distinct.