Table 2 Loadings of the principal components.

From: Individual differences in knowledge network navigation

Variables

Principle components and factor loadings

 

\({\text{Wikipedia}_{1}}\)

\({\text{Wikipedia}_{2}}\)

  

\(W_{purpose}\)

0.71

\(-\) 0.71

  

\(W_{frequency}\)

0.71

0.71

  
 

\({\text{Computer}_{1}}\)

\({\text{Computer}_{2}}\)

  

\(C_{frequency}\)

0.58

\(-\) 0.53

  

\(C_{good}\)

0.54

0.82

  

\(C_{like}\)

0.61

\(-\) 0.21

  
 

\({\text{Spatial}_{1}}\)

\({\text{Spatial}_{2}}\)

\({\text{Spatial}_{3}}\)

\({\text{Spatial}_{4}}\)

\(S_{good}\)

0.58

\(-\) 0.13

\(-\) 0.22

\(-\) 0.44

\(S_{learn}\)

0.44

\(-\) 0.48

\(-\) 0.30

0.69

\(S_{unknown}\)

0.59

0.19

0.10

\(-\) 0.33

\(S_{known}\)

0.33

0.61

0.46

0.47

\(S_{left}\)

0.06

\(-\) 0.59

0.80

\(-\) 0.08

 

\({\text{Education}_{1}}\)

\({\text{Education}_{2}}\)

  

\(ED_{years}\)

0.71

\(-\) 0.71

  

\(ED_{highest}\)

0.71

0.71

  
 

\({\text{Employment}_{1}}\)

\({\text{Employment}_{2}}\)

\({\text{Employment}_{3}}\)

 

\(EM_{status}\)

0.30

\(-\) 0.55

0.77

 

\(EM_{mental}\)

0.60

\(-\) 0.06

\(-\) 0.18

 

\(EM_{physical}\)

0.06

0.74

0.56

 

\(EM_{intensive}\)

0.54

0.37

\(-\) 0.08

 

\(EM_{creative}\)

0.51

\(-\) 0.09

\(-\) 0.22

 
  1. The table displays encoded variables (first column) and their corresponding loadings on the primary principal components in each question category, retaining at least \(80\%\) of the variance within each category. Loadings quantify the extent to which original variables contribute to specific principal components. Larger values, regardless of sign, indicate a stronger association between the original variable and the principal component. The sign of the loading indicates whether the correlation between the variable and component is positive or negative.