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Table 3 Hypothesis testing by known group comparison

From: Measurement properties of the Danish version of the Awareness and Beliefs about Cancer (ABC) measure

 

Group 1

Blue-collar workers (n = 16)

Group 2

Non-medical academics

(n = 21)

Group 3

GP’s and oncologists

(n = 19)

p-valuea

 

%

(n)

%

(n)

%

(n)

 

Hypothesis: Group 2 > group 1

 Awareness of unexplained bleeding

81.3

(13)

61.9

(13)

-

-

0.285

Hypothesis: Group 2 > group 1

 Being too busy to make time to go to the doctorb

12.5

(2)

47.6

(10)

-

-

0.035

Hypothesis: Group 2 > group 1

 Awareness of having a close relative with cancerc

62.5

(10)

81.0

(17)

-

-

0.274

Hypothesis: Group 2 > group 1

 Awareness of getting sunburnt more than once as a childc

56.3

(9)

71.4

(15)

  

0.489

Hypothesis: Group 3 > group 2

 Awareness of a sore that does not heal

-

-

52.4

(11)

100

(19)

0.001

Hypothesis: Group 3 > group 2

 Correctly identifying the 5-year survival from ovarian cancerd

-

-

9.5

(2)

57.9

(11)

0.002

Hypothesis: Group 3 > group 2

 Correctly identifying that cancer risk is higher in people aged 70-years than at a younger age

-

-

71.4

(15)

94.7

(18)

0.095

Hypothesis: Group 3 > group 2

 Awareness of infection with human papillomavirus (HPV) c

-

-

47.6

(10)

100

(19)

0.000

  1. aFischer’s exact test. Statistical significance, italics p-value < 0.05
  2. bResponse options were yes often, yes sometimes and no, which were dichotomised into yes/no
  3. cResponse options were strongly disagree, tend to disagree, tend to agree and strongly agree, which were dichotomised into disagree/agree
  4. dFor ovarian cancer an answer of 3 or 4 out of 10 was coded as correct
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BMC Medical Research Methodology

ISSN: 1471-2288

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