Table 5 Relationship (Pearson’s correlation and Chi-square tests) between the generic, intermediate, and specific attributes used to describe the wine concepts within cultures.

From: Cultural differences in wine conceptualization among consumers in France, Portugal and South Africa

   

Pearson’s correlation coefficient

Chi-squared (χ2)

DF

p-value

South Africa

Specific

Red Wine-White Wine

− 0.396

26.15

8.00

< 0.001

Red Wine-Wine

0.021

8.82

7.00

0.27

White Wine-Wine

0.506

11.98

7.00

0.10

Intermediate

Red Wine-White Wine

− 0.361

72.56

8.00

< 0.001

Red Wine-Wine

0.752

10.30

5.00

0.07

White Wine-Wine

− 0.122

36.28

6.00

< 0.001

Generic

Red Wine-White Wine

0.326

55.35

7.00

< 0.001

Red Wine-Wine

0.606

23.31

7.00

< 0.001

White Wine-Wine

0.929

18.73

7.00

0.01

France

Specific

Red Wine-White Wine

0.539

4.58

6.00

0.60

Red Wine-Wine

0.281

4.96

6.00

0.55

White Wine-Wine

− 0.556

3.11

5.00

0.68

Intermediate

Red Wine-White Wine

− 0.382

33.32

5.00

< 0.001

Red Wine-Wine

0.904

5.25

2.00

0.07

White Wine-Wine

− 0.556

20.04

5.00

< 0.001

Generic

Red Wine-White Wine

0.417

43.40

8.00

< 0.001

Red Wine-Wine

0.769

20.55

8.00

0.01

White Wine-Wine

0.868

12.39

8.00

0.13

Portugal

Specific

Red Wine-White Wine

1.000

1.60

1.00

0.21

Red Wine-Wine

1.000

1.12

1.00

0.29

White Wine-Wine

*

*

*

*

Intermediate

Red Wine-White Wine

− 0.367

54.40

6.00

< 0.001

Red Wine-Wine

− 0.414

17.71

4.00

< 0.001

White Wine-Wine

0.858

13.31

6.00

0.04

Generic

Red Wine-White Wine

0.336

44.24

6.00

< 0.001

Red Wine-Wine

0.655

18.33

5.00

< 0.001

White Wine-Wine

0.850

15.28

4.00

< 0.001

  1. *Too few attributes to analyse.
  2. Numbers in bold denote p-values smaller than 0.05.