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Table 2 Results of exploratory factor analysis

From: Examining key factors impact on health science students’ intentions to adopt genetic and pharmacogenomics testing: a comparative path analysis in two different healthcare settings

Factors and variables

Greece (N = 205)

Malaysia (N = 201)

Factor loadings (56.65%)

Factor loadings (65.85%)

Fac. 1

Fac. 2

Fac. 3

Fac. 4

Fac. 5

Fact. 1

Fac. 2

Fac. 3

Fac. 4

Fac. 5

Genetics training

Draw a pedigree

    

0.841

    

0.871

Discuss with a family the results of a genetic test and consult

    

0.847

    

0.861

Benefits on disease management

Diagnosis

   

0.720

   

0.779

  

Treatments

   

0.696

   

0.813

  

Prevention

   

0.693

   

0.723

  

Prognosis

   

0.587

   

0.716

  

Benefits on drug management

Drug efficacy increase

 

0.627

   

0.694

    

Medication cost reduction

 

0.711

   

0.755

    

Incidence of adverse drug reactions reduction

 

0.786

   

0.854

    

Severity of adverse drug reactions reduction

 

0.765

   

0.849

    

Exacerbation reduction

 

0.623

   

0.784

    

Concerns (risk) about genetics

Privacy and confidentiality not protected

0.657

     

0.645

   

Promotes discrimination against groups of people

0.759

     

0.697

   

Leads to unforeseen consequences

0.697

     

0.682

   

Affects my employability

0.765

     

0.818

   

Renders me unable to get insured

0.724

     

0.760

   

Can be misused by corporate or government bodies

0.749

     

0.735

   

Attitudes towards genetics

Will help people to live better lives

  

0.748

     

0.686

 

Valuable for early detection of diseases

  

0.625

     

0.746

 

Will help people to live longer and better

  

0.739

     

0.741

 

Can help a child to live a better life

  

0.653

     

0.726

 

% of explained variance

17.551

15.439

9.438

7.853

6.366

31.584

11.637

9.747

7.036

5.850

Initial Eigenvalues

3.686

3.242

1.982

1.649

1.337

6.633

2.444

2.047

1.478

1.228

Cronbach alpha

0.821

0.759

0.688

0.676

0.701

0.890

0.835

0.790

0.764

0.734

Item-scale correlations

0.519–0.638

0.445–0.610

0.394–0.585

0.422–0.491

0.542

0.645–0814

0.488–0.717

0.525–0.603

0.526–0.594

0.581

CR

0.87

0.83

0.79

0.77

0.83

0.89

0.87

0.84

0.82

0.86

AVE

0.53

0.50

0.48

0.46

0.71

0.62

0.53

0.58

0.53

0.75