Hello,
My colleague and I am working on a paper that investigates patriotism in immigrants. We are looking to combine several items together that have been combined previously, but we wanted to ensure that they loaded similarly in factor analysis.
As you can see, the "Proportion" value, which measures proportion of variance explained, exceeds 1.00 (which I thought was impossible).
Why did this happen, how can this value be interpreted?
My colleague and I am working on a paper that investigates patriotism in immigrants. We are looking to combine several items together that have been combined previously, but we wanted to ensure that they loaded similarly in factor analysis.
Code:
. factor revans_10-revans_80 (obs=25,943) Factor analysis/correlation Number of obs = 25,943 Method: principal factors Retained factors = 2 Rotation: (unrotated) Number of params = 9 -------------------------------------------------------------------------- Factor | Eigenvalue Difference Proportion Cumulative -------------+------------------------------------------------------------ Factor1 | 1.93894 1.93527 1.1937 1.1937 Factor2 | 0.00367 0.03434 0.0023 1.1960 Factor3 | -0.03067 0.07261 -0.0189 1.1771 Factor4 | -0.10328 0.08107 -0.0636 1.1135 Factor5 | -0.18435 . -0.1135 1.0000 -------------------------------------------------------------------------- LR test: independent vs. saturated: chi2(10) = 3.3e+04 Prob>chi2 = 0.0000 Factor loadings (pattern matrix) and unique variances ------------------------------------------------- Variable | Factor1 Factor2 | Uniqueness -------------+--------------------+-------------- revans_10 | 0.7571 -0.0279 | 0.4260 revans_30 | 0.4463 0.0020 | 0.8008 revans_50 | 0.7876 -0.0174 | 0.3794 revans_60 | 0.6168 0.0263 | 0.6189 revans_80 | 0.4072 0.0435 | 0.8323 -------------------------------------------------
Why did this happen, how can this value be interpreted?
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