how to interpret factor analysis results

I’ve just recently started using r and I’m also new in factor analysis and I’m struggling a little understanding the results I’m getting. I used factanal() function and this is the results I got: With one factor chisquare 217.63,65 df. p-value = 2.32e-18 With two factors chisquare 94.61, 53 df, p-value = 0.000381 With three factors chisquare 69.85, 42 df, Il p-value = 0.00453 The three factor choices is the better one, right? I don’t understand the p- value results. I also used monofactor analysis and I got: Estimator ML Model Fit Test Statistic 19173.841 Degrees of freedom 64 P-value (Chi-square) 0.000

With two factors analysis Estimator ML Model Fit Test Statistic 150.134 Degrees of freedom 64 P-value (Chi-square) 0.000 And last with three factors analysis. Estimator ML Model Fit Test Statistic 124.741 Degrees of freedom 61 P-value (Chi-square) 0.000 Once again, is the three factors model better? And also why p-value is 0.000? I’m sure it’s a dumb question but if somebody could help me I’ll be vary grateful.

Thank in advance and have a nice day

migrated from stackoverflow.comMay 19 at 11:07

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