The influence of locus of control on self-rated health in context of chronic disease: a structural equation modeling approach in a cross sectional study

Table 2 Correlation matrix among indicators

	Min	Max	Std-Dev	1	2	3	4	5	6	7
1. Gender	1	2	.50
2. Age	22	89	9.52	.06
3. Education level	1	3	.84	-.09	-.27**
4. Internal MHLC^a	6	36	5.37	-.16**	-.05	-.03
5. Chance MHLC^a	6	33	4.59	.02	.13**	-.28**	.17**
6. Powerful others MHLC^a	7	36	5.26	-.22**	.24**	-.11*	.22**	.22**
7. Disease burden	0	9	1.60	.05	.06	-.02	-.13**	.14**	.02
8. Self-rated health	1	5	.77	.00	-.09	.10*	.22**	-.18**	-.14**	-.36**

*Correlation is significant at the 0.05 level.
**Correlation is significant at the 0.01 level.
^aMultidimensional health locus of control in index-form, ranging from 6 to 36.
Maximum (max), minimum (min), standard deviations (Std-Dev) and correlations indicated. The matrix has been calculated with Spearman’s correlation coefficient. An index from 6 to 36 was used for each dimension of health locus of control.

ISSN: 1471-2458