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Table 6 Chi-square and K-W tests for patients in different genders

From: How users make judgements about the quality of online health information: a cross-sectional survey study

 

Chi-Square test (for frequency of use)

Kruskal–Wallis test (for perceived importance)

Value

df

Asymp.Sig

χ2

df

Asymp.Sig

Trustworthiness

0.956

1

0.328

9.308

1

0.002b

Expertise

0.072

1

0.788

2.745

1

0.098

Objectivity

1.035

1

0.309

1.928

1

0.165

Transparency

0.052

1

0.820

3.403

1

0.065

Popularity

0.437

1

0.509

0.044

1

0.834

Understandability

0.128

1

0.721

0.296

1

0.586

Relevance

1.015

1

0.314

4.485

1

0.034a

Familiarity

0.072

1

0.788

1.492

1

0.222

Accessibility

0.109

1

0.742

3.039

1

0.081

Identification

0.145

1

0.703

1.239

1

0.266

Believability

1.092

1

0.296

14.725

1

0.000c

Accuracy

0.000

1

0.988

2.101

1

0.147

Readability

0.005

1

0.946

4.767

1

0.029a

Currency

0.658

1

0.417

3.626

1

0.057

Navigability

0.437

1

0.509

2.179

1

0.14

Aesthetics

0.327

1

0.567

0.297

1

0.586

Interactivity

0.377

1

0.539

1.235

1

0.266

Comprehensiveness

1.777

1

0.183

0.333

1

0.564

Practicality

0.635

1

0.426

7.886

1

0.005b

Completeness

0.635

1

0.426

4.418

1

0.036a

Usefulness

0.025

1

0.875

0.006

1

0.937

Balanced

0.915

1

0.339

0.606

1

0.436

Anonymity

0.046

1

0.830

5.423

1

0.02a

Security

0.008

1

0.931

3.982

1

0.046a

  1. aindicates the significance level < 0.05
  2. b< 0.01
  3. c< 0.001