Call:
factanal(x = combined_MW, factors = 2, scores = "regression",     rotation = "promax")

Uniquenesses:
GeneralEMT   clear_MW MW_Valence   MW_react   MW_judge  MW_import
     0.484      0.865      0.221      0.182      0.772      0.590

Loadings:
            Factor1 Factor2
GeneralEMT  0.705
clear_MW            0.376
MW_Valence  0.892
MW_react    0.916
MW_judge   -0.410   0.172
MW_import   0.101   0.654

               Factor1 Factor2
SS loadings      2.316   0.609
Proportion Var   0.386   0.102
Cumulative Var   0.386   0.488

Factor Correlations:
        Factor1 Factor2
Factor1   1.000  -0.214
Factor2  -0.214   1.000

Test of the hypothesis that 2 factors are sufficient.
The chi square statistic is 8.1 on 4 degrees of freedom.
The p-value is 0.0882

> (fac.MW = factanal(combined_MW,
                                       factors = 3,
                                      rotation ="promax",
                                      scores = "regression"))

Call:
factanal(x = combined_MW, factors = 3, scores = "regression",     rotation = "promax")

Uniquenesses:
GeneralEMT   clear_MW MW_Valence   MW_react   MW_judge  MW_import
     0.491      0.935      0.243      0.145      0.324      0.005

Loadings:
           Factor1 Factor2 Factor3
GeneralEMT  0.700
clear_MW            0.218   0.111
MW_Valence  0.828
MW_react    0.956
MW_judge                    0.826
MW_import           1.002

               Factor1 Factor2 Factor3
SS loadings      2.094   1.058   0.705
Proportion Var   0.349   0.176   0.118
Cumulative Var   0.349   0.525   0.643

Factor Correlations:
        Factor1 Factor2 Factor3
Factor1  1.0000 -0.0283   0.198
Factor2 -0.0283  1.0000  -0.524
Factor3  0.1980 -0.5245   1.000

The degrees of freedom for the model is 0 and the fit was 7e-04