Statistical Scenario 3

Chronic Disease Self-control

1= good self-control of chronic disease (>5)

0= poor self-control of chronic disease (<5)

Table 1: Logistic Regression for chronic disease self-control

and assume that a significant level was set at .05.

Independent variables are: Self-satisfactions Score (higher scores indicate better, SS), Satisfaction score (higher scores indicate worse S), communication with healthcare providers (higher scores indicate better communication, HC).

Variables in the Equation
	B	S.E.	Wald	df	Sig.	Exp(B)	95% C.I.for EXP(B)
Lower	Upper
Step 1a	SS_score	-.292	.107	7.294	1	.005	.745	.602	.925
S_score	.334	.155	4.543	1	.031	1.399	1.027	1.907
HC_score	-.112	.050	4.641	1	.030	.893	.806	.993
BMI	.192	.116	2.821	1	.090	1.215	.968	1.522
Constant	1.707	1.736	.970	1	.321	5.526
a. Variable(s) entered on step 1: SC_score, D_score, HC_score, BMI.

Omnibus Tests of Model Coefficients
	Chi-square	df	Sig.
Step 1	Step	52.856	4	.000
Block	52.856	4	.000
Model	52.856	4	.000

Hosmer and Lemeshow Test
Step	Chi-square	df	Sig.
1	4.502	7	.805

Model Summary
Step	-2 Log likelihood	Cox & Snell R Square	Nagelkerke R Square
1	100.116a	.374	.501

Based on the Tables

1. Interpret the odds ratio (only significant).
2. Justify why some of the variables were not significant.
3. Evaluate goodness of fit indices to conclude whether this model fits the data well (see the tables above)