Hi there, i´ve trouble understanding the factanal output of R. i am running a a FA on a dataset with 10 variables.
i plotted eigenvalues to finde out how many factors to try. i think the "elbow" is @ 3 factors. here are my eigenvalues: 2.6372766 1.5137754 1.0188919 0.8986154 0.8327583 0.7187473 0.6932792 0.5807489 0.5709594 0.5349477 (of the correlation matrix) i guess this is basically what screeplot does as well. and here´s my problem: unfortunately the cumulative variance @ 3 factors is only .357 there are no crossloadings and the interpretation of the factors and their loadings definetely make sense so far. Can i use this factor analysis somehow despite the poor cumulative variance of the first three factors ? changing the rotation didnt help much. The test of the hypothesis says the following: Test of the hypothesis that 3 factors are sufficient. The chi square statistic is 46.58 on 18 degrees of freedom. The p-value is 0.000244 does this mean the Hnull is that 3 factors are sufficient and i cant recject ? 4 factors say: Test of the hypothesis that 4 factors are sufficient. The chi square statistic is 10.82 on 11 degrees of freedom. The p-value is 0.458 Unfortunately ?factanal does not tell me what the Hnull is in this case ? Thx a lot in advance for some advice matthias ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
