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Table 3 Chi-square and K-W tests for patients with different eHealth literacy 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

2.525

1

0.112

0.446

1

0.504

Expertise

3.783

1

0.052

0.833

1

0.362

Objectivity

1.888

1

0.169

0.093

1

0.761

Transparency

4.323

1

0.038a

0.001

1

0.97

Popularity

1.116

1

0.291

0.989

1

0.32

Understandability

1.888

1

0.169

0.015

1

0.903

Relevance

2.147

1

0.143

2.15

1

0.143

Familiarity

0.087

1

0.768

8.358

1

0.004

Accessibility

1.888

1

0.169

6.499

1

0.011a

Identification

4.725

1

0.030a

5.779

1

0.016a

Believability

1.888

1

0.169

1.085

1

0.298

Accuracy

3.393

1

0.065

0.066

1

0.798

Readability

1.116

1

0.291

0.264

1

0.607

Currency

1.008

1

0.315

0.001

1

0.973

Navigability

3.138

1

0.076

2.807

1

0.094

Aesthetics

3.783

1

0.052

18.345

1

0.000c

Interactivity

6.324

1

0.012a

12.881

1

0.000c

Comprehensiveness

2.363

1

0.124

13.257

1

0.000c

Practicality

3.138

1

0.076

6.757

1

0.009b

Completeness

1.116

1

0.291

0.624

1

0.43

Usefulness

9.914

1

0.002b

1.311

1

0.252

Balanced

8.464

1

0.004b

4.01

1

0.045a

Anonymity

2.998

1

0.083

1.51

1

0.219

Security

1.045

1

0.307

0.197

1

0.657

Learnability

3.715

1

0.054

0.568

1

0.451

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