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Table 4 Factor structure with principal component analysis

From: Measuring the effects of socioeconomic factors on mental health among migrants in urban China: a multiple indicators multiple causes model

  Factor 1 Factor 2 Factor 3
GHQ1 0.4898   
GHQ2 0.5156   −0.4906
GHQ3 0.4657 0.4750  
GHQ4 0.4491 0.4884  
GHQ5 0.5882   
GHQ6 0.5622   
GHQ7 0.5782   
GHQ8 0.4524   
GHQ9 0.5973   
GHQ10 0.5705   0.4592
GHQ11 0.5405   0.4680
GHQ12 0.5562   
  1. Extraction method: principal component analysis
  2. Rotation method: varimax with Kaiser normalization
  3. Data shown as Eigenvalues (coefficient)
  4. Blanks represent abs (loading) <0.4