Table A2.

Dimension reduction of input variables used in cluster analysis

FactorItems (from 1 to 5)Factor loadingsStatistics and testsPrevious studies
CausationAvoiding surprises0.946Mean (s.dev) = 24.9 (10.10)
Cronbach alpha = 0.974
Factor = 1
Explained variance = 82.78%
KMO = 0.953
Batlet test = 4,652.02***
Chandler et al., 2011 
 Use of formalized strategies0.936
 Activities to reach farm targets0.934
 Focus on farm enterprise potential returns0.920
 Profit calculations of farm enterprise0.913
 Identifying farm risks0.911
 Farm business planning0.904
 Laying of farm business goals0.807
     
ExperimentationTrying a number of inputs0.928Mean (s.dev) = 11.78(5.12
Cronbach alpha = 0.941
Factor = 1
Explained variance = 81.38%
KMO = 0.853
Bartlet test = 1,659.79***
Chandler et al., 2011 
 Allowing production methods to evolve0.925
 Experiment with different methods0.915
 Trying with available resources0.838
   
   
     
FlexibilityAdapting farm activities0.955Mean (s.dev) = 8.86 (4.06)
Cronbach = 0.938
Factor = 1
Explained variance = 84.18
KMO = 0.746
Bartlett’s test = 1,199.99***
Chandler et al., 2011 
 Avoiding activities that limit flexibility0.947
 Taking advantage of new opportunities0.845
   
   
     
Affordable lossFocus on what the farmer is willing to lose0.822Mean (s.dev) = 5.74 (2.77)Chandler et al., 2011 
 Focus on minimum potential risk0.669Cronbach’s alpha = 0.952
Factor = 1
   Explained variance = 84.18%
   KMO = 0.599
   Bartlet test = 256.256***
Source: Authors’ own work

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