Confirmatory factor analysis (CFA) is a statistical technique used to assess the goodness-of-fit of a model to a set of data. CFA can be used to test for the presence of latent variables in a model, to estimate the magnitude of their effects, and to identify which observed variables are associated with each latent variable.
Confirmatory factor analysis (CFA) is a statistical method used to assess the goodness-of-fit of a theoretical model to observed data. CFA can be used to test for the presence of latent factors, to estimate the factor loadings and to investigate the measurement invariance of a questionnaire across groups. Amos is a statistical software package used for structural equation modeling, which includes CFA. There are a number of commercial services that offer support for carrying out CFA using Amos, including model estimation, interpretation and reporting.
There are a number of different ways to conduct a confirmatory factor analysis, but SPSS Amos is one of the most popular services. This is likely due to the fact that it is very user-friendly and provides a lot of helpful features.