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Table 7 Factor loadings for the set of mobility indicators listed in Table 5 to uncover latent mobility dimensions (for one out of the 10 EFA runs for the data condition 3 days/8 h)

From: Towards a comprehensive set of GPS-based indicators reflecting the multidimensional nature of daily mobility for applications in health and aging research

Variable

Factor

1

Extent of life space

2

Quantity OH activities

3

Time spent in ATM

4

Stability of life space

5

Elongation of life space

6

Timing of mobility

% explained variation

22%

12%

11%

9%

8%

7%

MaxDistb

0.87

     

CHullb

0.94

     

SDEb

0.93

     

LengthPerTripb

0.70

     

LocVara

0.79

     

DurPTMb

0.48

     

TOHc

 

0.64

    

Entropyb

 

0.76

    

NumLocb

 

0.83

    

NumUniqLocb

 

0.37

    

DurATMc

  

0.96

   

MaxDurATMc

  

0.96

   

RevisitedLSa

   

0.95

  

AvgRevisitedLSc

   

0.74

  

SDDirMaxDista

   

− 0.40

  

GravCompactb

    

0.93

 

Maj2MinAxisb

    

0.72

 

TimeMaxDistc

     

0.74

TimeFirstMovec

     

0.65

TimePeriodActivec

     

0.51

  1. Extraction method: Maximum-likelihood factor analysis. Rotation method: varimax. Transformations: aoriginal, blog transformed, csquare-root transformed. Variables’ factor loadings are displayed for the factor that they correlated most with. Test of the hypothesis that 6 factors are sufficient cannot be rejected (p-value is 0.137). The six factors capture over 68% of the variance originally observed between the 20 variables
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International Journal of Health Geographics

ISSN: 1476-072X