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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