Multilevel Modelling for Public Health and Health Services Research by Alastair H. Leyland & Peter P. Groenewegen

Multilevel Modelling for Public Health and Health Services Research by Alastair H. Leyland & Peter P. Groenewegen

Author:Alastair H. Leyland & Peter P. Groenewegen
Language: eng
Format: epub, pdf
ISBN: 9783030348014
Publisher: Springer International Publishing


Model M1: Individual Social Capital

This time our model includes individual social capital, x1ij, and its associated parameter estimate β1:

(7.2)

Parameter estimates from this model are used to create Fig. 7.2. From Fig. 7.2a we can see that those with high individual social capital are now more likely to report being in good health (or better) than those with low individual social capital. Since neighbourhood social capital is not included in M1, the predicted log odds of good health are constant regardless of the extent of neighbourhood social capital. Figure 7.2b illustrates this another way; we are unable to distinguish between areas with high, average or low neighbourhood social capital (the lines lie on top of each other) but, regardless of the extent of neighbourhood social capital, respondents with high individual social capital are more likely to report good health than those with low individual social capital.

Fig. 7.2Predicted log odds of good or better health obtained under model M1 (containing individual social capital only) across (a) area and (b) individual social capital



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