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Table 5 Chi-square and K-W tests for patients with different educational levels

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

4.042

4

0.400

9.303

4

0.054

Expertise

5.032

4

0.284

18.212

4

0.001b

Objectivity

15.192

4

0.004b

6.544

4

0.162

Transparency

1.949

4

0.745

4.601

4

0.331

Popularity

4.432

4

0.351

8.07

4

0.089

Understandability

7.272

4

0.122

1.466

4

0.833

Relevance

6.661

4

0.155

3.647

4

0.456

Familiarity

5.032

4

0.284

12.408

4

0.015a

Accessibility

3.337

4

0.503

2.555

4

0.635

Identification

11.073

4

0.026a

6.133

4

0.189

Believability

2.777

4

0.596

3.863

4

0.425

Accuracy

10.340

4

0.035a

5.299

4

0.258

Readability

5.753

4

0.218

3.194

4

0.526

Currency

3.095

4

0.542

5.937

4

0.204

Navigability

5.753

4

0.218

1.809

4

0.771

Aesthetics

6.449

4

0.168

14.454

4

0.006b

Interactivity

8.492

4

0.075

5.685

4

0.224

Comprehensiveness

22.505

4

0.000c

11.543

4

0.021a

Practicality

5.940

4

0.204

2.978

4

0.562

Completeness

4.432

4

0.351

0.44

4

0.979

Usefulness

3.331

4

0.504

1.765

4

0.779

Balanced

6.389

4

0.172

1.321

4

0.858

Anonymity

2.289

4

0.683

0.724

4

0.948

Security

2.538

4

0.638

12.353

4

0.015a

Learnability

11.227

4

0.024a

2.058

4

0.725

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