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Univariate Analysis 557<br />

TABLE 19.2<br />

30 Records from Bernard et al.’s Study of Green Attitudes<br />

RESP GENDER REDUCE GUNGHO AGE EDUC<br />

1 2 5 1 46 18<br />

2 2 4 2 56 12<br />

3 1 4 3 25 18<br />

4 1 5 4 24 12<br />

5 1 4 2 60 5<br />

6 1 2 4 51 18<br />

7 1 2 4 53 14<br />

8 2 5 4 25 13<br />

9 1 2 4 21 15<br />

10 2 4 4 67 13<br />

11 2 2 1 34 16<br />

12 1 5 3 47 18<br />

13 1 4 1 35 12<br />

14 2 4 3 67 12<br />

15 1 4 4 20 12<br />

16 2 4 2 24 15<br />

17 1 5 2 38 16<br />

18 2 5 2 53 14<br />

19 1 4 2 38 12<br />

20 2 4 3 31 14<br />

21 1 5 4 54 15<br />

22 2 5 4 52 14<br />

23 1 4 2 37 14<br />

24 1 2 1 53 14<br />

25 1 5 5 49 18<br />

26 1 3 3 46 16<br />

27 2 5 4 78 14<br />

28 2 5 2 41 12<br />

29 1 4 2 57 12<br />

30 1 4 4 69 10<br />

and 5, always to stand for support of environmentalism and smaller numbers,<br />

like 1 and 2, always to stand for lack of support, then we have to transform<br />

the data for GUNGHO so that they run <strong>in</strong> the same direction as the data for<br />

REDUCE. We can easily do that <strong>in</strong> any statistics package.<br />

This is a very important part of univariate analysis—gett<strong>in</strong>g the data <strong>in</strong>to<br />

the computer <strong>in</strong> just the right form.<br />

Variables 4 and 5, AGE (the respondent’s age) and EDUC (the respondent’s

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