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Statistical Methods in Medical Research 4ed

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462 Multivariate methods<br />

eigenvalues exceed<strong>in</strong>g 1, they lie <strong>in</strong> the tail of the scree plot. Most importantly, when three<br />

components were fitted, there was a clear <strong>in</strong>terpretation, but add<strong>in</strong>g another component<br />

did not give a fourth <strong>in</strong>terpretable component. Accord<strong>in</strong>gly, three components were<br />

reta<strong>in</strong>ed.<br />

In Table 13.2 the first three components are given. The variables have been reordered,<br />

and component correlations exceed<strong>in</strong>g 0 5 are given <strong>in</strong> bold type, to show the ma<strong>in</strong><br />

features of each component. The first component is correlated more with variables 1, 3,<br />

4, 5, 6, 7, 8, 9, 14 and 17, and may be <strong>in</strong>terpreted as `physical health'. The second<br />

component is correlated with variables 2, 10, 11, 12, 18, 19 and 20, and may be <strong>in</strong>terpreted<br />

as `optimism'. The third component is correlated with variables 13, 15 and 16, and may be<br />

<strong>in</strong>terpreted as `socializ<strong>in</strong>g'. The identification of the components <strong>in</strong> terms of the orig<strong>in</strong>al<br />

variables is clearer for the rotated components. These three components accounted for<br />

57% of the total variation and, s<strong>in</strong>ce no clear <strong>in</strong>terpretation was made of the next<br />

component, attention was restricted to these three.<br />

In the above example the dimensionality of the data was reduced from 20 to 3<br />

by the use of pr<strong>in</strong>cipal component analysis. It would appear that the method was<br />

highly effective. However, the orig<strong>in</strong>al questions were chosen to represent a few<br />

characteristics and, before the data were collected, group<strong>in</strong>gs of the questions<br />

Table 13.2 Component correlations (load<strong>in</strong>gs) for the first three pr<strong>in</strong>cipal components.<br />

Component Rotated component<br />

Variable 1 2 3 1 2 3<br />

1 Physical health good 0 67 0 02 0 01 0 59 0 32 0 07<br />

3 Never breathless 0 63 0 02 0 08 0 55 0 28 0 14<br />

4 Breathlessness does not distress me 0 69 0 28 0 10 0 53 0 51 0 13<br />

5 Rarely cough 0 76 0 31 0 24 0 86 0 00 0 04<br />

6 Cough<strong>in</strong>g does not trouble me 0 77 0 23 0 26 0 84 0 07 0 08<br />

7 Never wheezy 0 77 0 29 0 12 0 77 0 13 0 29<br />

8 Hardly ever feel ill 0 81 0 08 0 08 0 67 0 45 0 12<br />

9 Condition has improved 0 68 0 47 0 30 0 86 0 19 0 04<br />

14 Wife happy with my condition 0 66 0 29 0 04 0 69 0 06 0 21<br />

17 Support the family 0 59 0 19 0 13 0 63 0 06 0 00<br />

2 Optimistic about future 0 22 0 66 0 08 0 07 0 68 0 15<br />

10 Never worry about future 0 23 0 74 0 14 0 04 0 69 0 38<br />

11 Confident could cope 0 43 0 64 0 04 0 13 0 75 0 16<br />

12 Health depends on me 0 29 0 41 0 47 0 01 0 61 0 31<br />

18 Mak<strong>in</strong>g a useful contribution 0 43 0 49 0 32 0 12 0 70 0 15<br />

19 Accept my condition 0 52 0 44 0 13 0 27 0 64 0 10<br />

20 Feel happy 0 14 0 61 0 15 0 40 0 50 0 00<br />

13 Worth try<strong>in</strong>g anyth<strong>in</strong>g 0 09 0 37 0 68 0 10 0 15 0 76<br />

15 Feel like go<strong>in</strong>g out 0 33 0 27 0 68 0 23 0 12 0 76<br />

16 Relax<strong>in</strong>g with other people 0 01 0 43 0 64 0 00 0 18 0 75

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