Confirmatory factor analysis in JAMOVI

CFA vs. EFA model. One-factor model for well-being. Factor loadings. Factor variance. Modification indeces. Residual correlations. Covariance for random errors. AIC and BIC evaluation. Two-factor model. Related factors.

[@saalemsadeque9516]

Most clearest explanation of the difference between EFA and CFA. Thank you.

[@petrsoukup9854]

Thanks for the evaluation.

[@SudarshanBaurai]

Prof. Petr, you explained the complete analyis in detailed manner and many thanks Sir!

[@petrsoukup9854]

Thanks for your comment.

[@eimnc]

Thank you!

[@laxmanbisht2638]

Thanks! How can I get the factor scores? Also Can I use those factor scores in the regression model. I would be grateful to your response.

[@aroojnajmussaqib4632]

how can we get eigen and variance values in jamovi

[@petrsoukup9854]

eigenvalues are related to EFA not CFA, so no package offers eigenvaues for CFA.

[@akashreddy3661]

Hi you’re video is really help full I have few questions can I get you’re email ID