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Table 4 Chi-square and K-W tests for patients in different age groups

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

1.971

4

0.741

4.336

4

0.362

Expertise

2.173

4

0.704

5.327

4

0.255

Objectivity

1.881

4

0.758

1.028

4

0.906

Transparency

1.093

4

0.895

2.645

4

0.619

Popularity

4.299

4

0.367

2.931

4

0.57

Understandability

15.218

4

0.004b

7.74

4

0.102

Relevance

4.246

4

0.374

6.033

4

0.197

Familiarity

4.092

4

0.394

13.377

4

0.01a

Accessibility

0.125

4

0.998

7.387

4

0.117

Identification

1.370

4

0.849

14.91

4

0.005b

Believability

3.369

4

0.498

4.798

4

0.309

Accuracy

0.801

4

0.938

4.237

4

0.375

Readability

4.525

4

0.340

4.027

4

0.402

Currency

3.549

4

0.470

3.395

4

0.494

Navigability

1.609

4

0.807

6.025

4

0.197

Aesthetics

2.173

4

0.704

33.824

4

0.000c

Interactivity

2.250

4

0.690

2.075

4

0.722

Comprehensiveness

2.603

4

0.626

2.827

4

0.587

Practicality

0.969

4

0.914

1.232

4

0.873

Completeness

4.299

4

0.367

4.503

4

0.342

Usefulness

2.196

4

0.700

4.132

4

0.388

Balanced

7.756

4

0.101

4.249

4

0.373

Anonymity

3.623

4

0.459

12.744

4

0.013a

Security

2.840

4

0.585

3.957

4

0.412

Learnability

4.655

4

0.325

1.147

4

0.887

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