LOGISTIC REGRESSION VARIABLES OutcomeCP
  /METHOD=ENTER HeartCost HeartRisk HeartBenefit
  /CONTRAST (HeartCost)=Indicator(1)
  /CONTRAST (HeartRisk)=Indicator(1)
  /CONTRAST (HeartBenefit)=Indicator(1)
  /PRINT=CI(95)
  /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).

Logistic Regression -MODEL 1

Notes	
Output Created	23-AUG-2019 11:33:49	
Comments		
Input	Data	K:\[Emergency Medicine] Diagnostic Testing Research\Fall 2018 [Jessica]\Rahul2016DiagnosticAccuracyUMHS2019Apr23.sav	
	Active Dataset	DataSet1	
	Filter	<none>	
	Weight	<none>	
	Split File	<none>	
	N of Rows in Working Data File	913	
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing	
Syntax	LOGISTIC REGRESSION VARIABLES OutcomeCP
  /METHOD=ENTER HeartCost HeartRisk HeartBenefit
  /CONTRAST (HeartCost)=Indicator(1)
  /CONTRAST (HeartRisk)=Indicator(1)
  /CONTRAST (HeartBenefit)=Indicator(1)
  /PRINT=CI(95)
  /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).	
Resources	Processor Time	00:00:00.06	
	Elapsed Time	00:00:00.06	

Case Processing Summary	
Unweighted Casesa	N	Percent	
Selected Cases	Included in Analysis	912	99.9	
	Missing Cases	1	.1	
	Total	913	100.0	
Unselected Cases	0	.0	
Total	913	100.0	

a. If weight is in effect, see classification table for the total number of cases.	

Dependent Variable Encoding	
Original Value	Internal Value	
No	0	
Yes	1	

Categorical Variables Codings	
	Frequency	Parameter coding	
		(1)	
HeartBenefit	0.1	455	.000	
	1	457	1.000	
HeartRisk	0.1	456	.000	
	1	456	1.000	
HeartCost	0	459	.000	
	100	453	1.000	

Block 0: Beginning Block

Classification Tablea,b	
	Observed	Predicted	
		Would you want to have this diagnostic test performed given the above information.	Percentage Correct	
		No	Yes		
Step 0	Would you want to have this diagnostic test performed given the above information.	No	0	340	.0	
		Yes	0	572	100.0	
	Overall Percentage			62.7	

a. Constant is included in the model.	
b. The cut value is .500	

Variables in the Equation	
	B	S.E.	Wald	df	Sig.	Exp(B)	
Step 0	Constant	.520	.068	57.705	1	.000	1.682	

Variables not in the Equation	
	Score	df	Sig.	
Step 0	Variables	HeartCost(1)	10.026	1	.002	
		HeartRisk(1)	8.272	1	.004	
		HeartBenefit(1)	35.287	1	.000	
	Overall Statistics	57.984	3	.000	

Block 1: Method = Enter

Omnibus Tests of Model Coefficients	
	Chi-square	df	Sig.	
Step 1	Step	59.441	3	.000	
	Block	59.441	3	.000	
	Model	59.441	3	.000	

Model Summary	
Step	-2 Log likelihood	Cox & Snell R Square	Nagelkerke R Square	
1	1145.188a	.063	.086	

a. Estimation terminated at iteration number 4 because parameter estimates changed by less than .001.	

Classification Tablea	
	Observed	Predicted	
		Would you want to have this diagnostic test performed given the above information.	Percentage Correct	
		No	Yes		
Step 1	Would you want to have this diagnostic test performed given the above information.	No	55	285	16.2	
		Yes	41	531	92.8	
	Overall Percentage			64.3	

a. The cut value is .500	

Variables in the Equation	
	B	S.E.	Wald	df	Sig.	Exp(B)			
									
Step 1a	HeartCost(1)	-.515	.143	12.964	1	.000	.598			
	HeartRisk(1)	-.515	.143	12.879	1	.000	.598			
	HeartBenefit(1)	.883	.143	37.943	1	.000	2.417			
	Constant	.628	.142	19.642	1	.000	1.873			

LOGISTIC REGRESSION VARIABLES OutcomeCP
  /METHOD=ENTER HeartCost HeartRisk HeartBenefit Numeracybinned Q49.0 Q24
  /CONTRAST (HeartCost)=Indicator(1)
  /CONTRAST (HeartRisk)=Indicator(1)
  /CONTRAST (HeartBenefit)=Indicator(1)
  /CONTRAST (Numeracybinned)=Indicator
  /CONTRAST (Q49.0)=Indicator
  /CONTRAST (Q24)=Indicator
  /PRINT=CI(95)
  /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).

Logistic Regression Model 2

Notes	
Output Created	23-AUG-2019 11:36:26	
Comments		
Input	Data	K:\[Emergency Medicine] Diagnostic Testing Research\Fall 2018 [Jessica]\Rahul2016DiagnosticAccuracyUMHS2019Apr23.sav	
	Active Dataset	DataSet1	
	Filter	<none>	
	Weight	<none>	
	Split File	<none>	
	N of Rows in Working Data File	913	
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing	
Syntax	LOGISTIC REGRESSION VARIABLES OutcomeCP
  /METHOD=ENTER HeartCost HeartRisk HeartBenefit Numeracybinned Q49.0 Q24
  /CONTRAST (HeartCost)=Indicator(1)
  /CONTRAST (HeartRisk)=Indicator(1)
  /CONTRAST (HeartBenefit)=Indicator(1)
  /CONTRAST (Numeracybinned)=Indicator
  /CONTRAST (Q49.0)=Indicator
  /CONTRAST (Q24)=Indicator
  /PRINT=CI(95)
  /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).	
Resources	Processor Time	00:00:00.00	
	Elapsed Time	00:00:00.10	

Case Processing Summary	
Unweighted Casesa	N	Percent	
Selected Cases	Included in Analysis	840	92.0	
	Missing Cases	73	8.0	
	Total	913	100.0	
Unselected Cases	0	.0	
Total	913	100.0	

a. If weight is in effect, see classification table for the total number of cases.	

Dependent Variable Encoding	
Original Value	Internal Value	
No	0	
Yes	1	

Categorical Variables Codings	
	Frequency	Parameter coding								
		(1)	(2)	(3)								
What is your household income level?	Less than $10,000	47	1.000	.000	.000								
	$10,000 to $14,999	26	.000	1.000	.000								
	$15,000 to $24,999	33	.000	.000	1.000								
	$25,000 to $34,999	67	.000	.000	.000								
	$35,000 to $49,999	54	.000	.000	.000								
	$50,000 to $74,999	89	.000	.000	.000								
	$75,000 to $99,999	68	.000	.000	.000								
	$100,000 to $149,999	89	.000	.000	.000								
	$150,000 to $199,999	29	.000	.000	.000								
	$200,000 or more	48	.000	.000	.000								
	Prefer not to respond	290	.000	.000	.000								
What level of education have you achieved?	Some high school	36	1.000	.000	.000								
	High school graduate	139	.000	1.000	.000								
	Some college	285	.000	.000	1.000								
	College graduate	236	.000	.000	.000								
	Post graduate degree (Master's, PhD, MD, JD, MSW)	144	.000	.000	.000								
Numeracyscore (Binned)	Low numeracy	99	1.000	.000									
	Medium numeracy	247	.000	1.000									
	High numeracy	494	.000	.000									
HeartRisk	0.1	417	.000										
	1	423	1.000										
HeartBenefit	0.1	416	.000										
	1	424	1.000										
HeartCost	0	426	.000										
	100	414	1.000										

Block 0: Beginning Block

Classification Tablea,b	
	Observed	Predicted	
		Would you want to have this diagnostic test performed given the above information.	Percentage Correct	
		No	Yes		
Step 0	Would you want to have this diagnostic test performed given the above information.	No	0	316	.0	
		Yes	0	524	100.0	
	Overall Percentage			62.4	

a. Constant is included in the model.	
b. The cut value is .500	

Variables in the Equation	
	B	S.E.	Wald	df	Sig.	Exp(B)	
Step 0	Constant	.506	.071	50.421	1	.000	1.658	

Variables not in the Equation	
	Score	df	Sig.	
Step 0	Variables	HeartCost(1)	10.978	1	.001	
		HeartRisk(1)	5.776	1	.016	
		HeartBenefit(1)	27.043	1	.000	
		Numeracyscore (Binned)	1.767	2	.413	
		Numeracyscore (Binned)(1)	.245	1	.620	
		Numeracyscore (Binned)(2)	1.170	1	.279	
		What is your household income level?	16.209	10	.094	
		What is your household income level?(1)	.045	1	.833	
		What is your household income level?(2)	.008	1	.928	
		What is your household income level?(3)	1.567	1	.211	
		What is your household income level?(4)	.223	1	.637	
		What is your household income level?(5)	.926	1	.336	
		What is your household income level?(6)	8.342	1	.004	
		What is your household income level?(7)	.012	1	.913	
		What is your household income level?(8)	3.028	1	.082	
		What is your household income level?(9)	.555	1	.456	
		What is your household income level?(10)	2.300	1	.129	
		What level of education have you achieved?	14.304	4	.006	
		What level of education have you achieved?(1)	1.552	1	.213	
		What level of education have you achieved?(2)	6.489	1	.011	
		What level of education have you achieved?(3)	1.178	1	.278	
		What level of education have you achieved?(4)	4.388	1	.036	
	Overall Statistics	79.995	19	.000	

Block 1: Method = Enter

Omnibus Tests of Model Coefficients	
	Chi-square	df	Sig.	
Step 1	Step	84.877	19	.000	
	Block	84.877	19	.000	
	Model	84.877	19	.000	

Model Summary	
Step	-2 Log likelihood	Cox & Snell R Square	Nagelkerke R Square	
1	1027.566a	.096	.131	

a. Estimation terminated at iteration number 4 because parameter estimates changed by less than .001.	

Classification Tablea	
	Observed	Predicted	
		Would you want to have this diagnostic test performed given the above information.	Percentage Correct	
		No	Yes		
Step 1	Would you want to have this diagnostic test performed given the above information.	No	102	214	32.3	
		Yes	76	448	85.5	
	Overall Percentage			65.5	

a. The cut value is .500	

Variables in the Equation	
	B	S.E.	Wald	df	Sig.	Exp(B)	95% C.I.for EXP(B)	
							Lower	Upper	
Step 1a	HeartCost(1)	-.565	.154	13.498	1	.000	.568	.420	.768	
	HeartRisk(1)	-.493	.154	10.290	1	.001	.611	.452	.825	
	HeartBenefit(1)	.902	.154	34.251	1	.000	2.465	1.822	3.335	
	Numeracyscore (Binned)			.113	2	.945				
	Numeracyscore (Binned)(1)	.073	.249	.086	1	.769	1.076	.660	1.753	
	Numeracyscore (Binned)(2)	.044	.186	.057	1	.811	1.045	.727	1.504	
	What is your household income level?			17.371	10	.067				
	What is your household income level?(1)	-.032	.349	.008	1	.928	.969	.489	1.921	
	What is your household income level?(2)	-.061	.451	.018	1	.892	.941	.389	2.277	
	What is your household income level?(3)	.572	.431	1.763	1	.184	1.771	.762	4.119	
	What is your household income level?(4)	.061	.293	.044	1	.834	1.063	.599	1.888	
	What is your household income level?(5)	.459	.336	1.860	1	.173	1.582	.818	3.058	
	What is your household income level?(6)	.953	.292	10.624	1	.001	2.593	1.462	4.598	
	What is your household income level?(7)	.227	.293	.601	1	.438	1.255	.707	2.226	
	What is your household income level?(8)	-.049	.265	.034	1	.854	.952	.566	1.602	
	What is your household income level?(9)	.668	.446	2.241	1	.134	1.950	.813	4.677	
	What is your household income level?(10)	-.234	.337	.481	1	.488	.792	.409	1.532	
	What level of education have you achieved?			13.369	4	.010				
	What level of education have you achieved?(1)	1.118	.455	6.044	1	.014	3.058	1.254	7.457	
	What level of education have you achieved?(2)	.780	.286	7.445	1	.006	2.182	1.246	3.823	
	What level of education have you achieved?(3)	.467	.230	4.110	1	.043	1.595	1.016	2.506	
	What level of education have you achieved?(4)	.063	.227	.076	1	.783	1.065	.682	1.661	
	Constant	.088	.261	.115	1	.734	1.092			

a. Variable(s) entered on step 1: HeartCost, HeartRisk, HeartBenefit, Numeracyscore (Binned), What is your household income level?, What level of education have you achieved?.	

LOGISTIC REGRESSION VARIABLES OutcomeCP
  /METHOD=ENTER HeartCost HeartRisk HeartBenefit Numeracybinned Q49.0 Q24 Q17 whitevsnonwhite
    AgeBinned
  /CONTRAST (HeartCost)=Indicator(1)
  /CONTRAST (HeartRisk)=Indicator(1)
  /CONTRAST (HeartBenefit)=Indicator(1)
  /CONTRAST (Numeracybinned)=Indicator
  /CONTRAST (Q49.0)=Indicator
  /CONTRAST (Q24)=Indicator
  /CONTRAST (Q17)=Indicator
  /CONTRAST (whitevsnonwhite)=Indicator
  /CONTRAST (AgeBinned)=Indicator
  /PRINT=CI(95)
  /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).

LOGISTIC REGRESSION VARIABLES OutcomeCP
  /METHOD=ENTER HeartCost HeartRisk HeartBenefit Numeracybinned Q49.0 Q24 Q17 whitevsnonwhite
    AgeBinned Q30
  /CONTRAST (HeartCost)=Indicator(1)
  /CONTRAST (HeartRisk)=Indicator(1)
  /CONTRAST (HeartBenefit)=Indicator(1)
  /CONTRAST (Numeracybinned)=Indicator
  /CONTRAST (Q49.0)=Indicator
  /CONTRAST (Q24)=Indicator
  /CONTRAST (Q17)=Indicator
  /CONTRAST (whitevsnonwhite)=Indicator
  /CONTRAST (AgeBinned)=Indicator
  /CONTRAST (Q30)=Indicator
  /PRINT=CI(95)
  /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).

Logistic Regression Model 3

Notes	
Output Created	23-AUG-2019 11:40:41	
Comments		
Input	Data	K:\[Emergency Medicine] Diagnostic Testing Research\Fall 2018 [Jessica]\Rahul2016DiagnosticAccuracyUMHS2019Apr23.sav	
	Active Dataset	DataSet1	
	Filter	<none>	
	Weight	<none>	
	Split File	<none>	
	N of Rows in Working Data File	913	
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing	
Syntax	LOGISTIC REGRESSION VARIABLES OutcomeCP
  /METHOD=ENTER HeartCost HeartRisk HeartBenefit Numeracybinned Q49.0 Q24 Q17 whitevsnonwhite
    AgeBinned Q30
  /CONTRAST (HeartCost)=Indicator(1)
  /CONTRAST (HeartRisk)=Indicator(1)
  /CONTRAST (HeartBenefit)=Indicator(1)
  /CONTRAST (Numeracybinned)=Indicator
  /CONTRAST (Q49.0)=Indicator
  /CONTRAST (Q24)=Indicator
  /CONTRAST (Q17)=Indicator
  /CONTRAST (whitevsnonwhite)=Indicator
  /CONTRAST (AgeBinned)=Indicator
  /CONTRAST (Q30)=Indicator
  /PRINT=CI(95)
  /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).	
Resources	Processor Time	00:00:00.08	
	Elapsed Time	00:00:00.13	

Case Processing Summary	
Unweighted Casesa	N	Percent	
Selected Cases	Included in Analysis	838	91.8	
	Missing Cases	75	8.2	
	Total	913	100.0	
Unselected Cases	0	.0	
Total	913	100.0	

a. If weight is in effect, see classification table for the total number of cases.	

Dependent Variable Encoding	
Original Value	Internal Value	
No	0	
Yes	1	

Categorical Variables Codings	
	Frequency	Parameter coding					
		(1)	(2)	(3)	(4)	(5)	(6)					
What is your household income level?	Less than $10,000	47	1.000	.000	.000	.000	.000	.000					
	$10,000 to $14,999	26	.000	1.000	.000	.000	.000	.000					
	$15,000 to $24,999	33	.000	.000	1.000	.000	.000	.000					
	$25,000 to $34,999	66	.000	.000	.000	1.000	.000	.000					
	$35,000 to $49,999	54	.000	.000	.000	.000	1.000	.000					
	$50,000 to $74,999	89	.000	.000	.000	.000	.000	1.000					
	$75,000 to $99,999	68	.000	.000	.000	.000	.000	.000					
	$100,000 to $149,999	89	.000	.000	.000	.000	.000	.000					
	$150,000 to $199,999	29	.000	.000	.000	.000	.000	.000					
	$200,000 or more	48	.000	.000	.000	.000	.000	.000					
	Prefer not to respond	289	.000	.000	.000	.000	.000	.000					
What is your age? (Binned)	<= 25.00	138	1.000	.000	.000	.000	.000						
	26.00 - 40.00	203	.000	1.000	.000	.000	.000						
	41.00 - 55.00	226	.000	.000	1.000	.000	.000						
	56.00 - 65.00	132	.000	.000	.000	1.000	.000						
	66.00 - 75.00	93	.000	.000	.000	.000	1.000						
	76.00+	46	.000	.000	.000	.000	.000						
What level of education have you achieved?	Some high school	36	1.000	.000	.000	.000							
	High school graduate	139	.000	1.000	.000	.000							
	Some college	285	.000	.000	1.000	.000							
	College graduate	235	.000	.000	.000	1.000							
	Post graduate degree (Master's, PhD, MD, JD, MSW)	143	.000	.000	.000	.000							
What is your gender	Male	348	1.000	.000									
	2	489	.000	1.000									
	3	1	.000	.000									
Numeracyscore (Binned)	Low numeracy	99	1.000	.000									
	Medium numeracy	247	.000	1.000									
	High numeracy	492	.000	.000									
HeartRisk	0.1	416	.000										
	1	422	1.000										
HeartBenefit	0.1	414	.000										
	1	424	1.000										
Have you worked or trained in any of the following medical/health professions: (select all that a...	0	222	1.000										
	I am not a medical professional	616	.000										
whitevsnonwhite	0	153	1.000										
	white	685	.000										
HeartCost	0	424	.000										
	100	414	1.000										

Block 0: Beginning Block

Classification Tablea,b	
	Observed	Predicted	
		Would you want to have this diagnostic test performed given the above information.	Percentage Correct	
		No	Yes		
Step 0	Would you want to have this diagnostic test performed given the above information.	No	0	315	.0	
		Yes	0	523	100.0	
	Overall Percentage			62.4	

a. Constant is included in the model.	
b. The cut value is .500	

Variables in the Equation	
	B	S.E.	Wald	df	Sig.	Exp(B)	
Step 0	Constant	.507	.071	50.536	1	.000	1.660	

Variables not in the Equation	
	Score	df	Sig.	
Step 0	Variables	HeartCost(1)	11.123	1	.001	
		HeartRisk(1)	5.454	1	.020	
		HeartBenefit(1)	26.932	1	.000	
		Numeracyscore (Binned)	1.731	2	.421	
		Numeracyscore (Binned)(1)	.239	1	.625	
		Numeracyscore (Binned)(2)	1.147	1	.284	
		What is your household income level?	16.194	10	.094	
		What is your household income level?(1)	.043	1	.836	
		What is your household income level?(2)	.009	1	.926	
		What is your household income level?(3)	1.559	1	.212	
		What is your household income level?(4)	.337	1	.562	
		What is your household income level?(5)	.918	1	.338	
		What is your household income level?(6)	8.312	1	.004	
		What is your household income level?(7)	.013	1	.909	
		What is your household income level?(8)	3.051	1	.081	
		What is your household income level?(9)	.550	1	.458	
		What is your household income level?(10)	2.315	1	.128	
		What level of education have you achieved?	14.301	4	.006	
		What level of education have you achieved?(1)	1.544	1	.214	
		What level of education have you achieved?(2)	6.454	1	.011	
		What level of education have you achieved?(3)	1.152	1	.283	
		What level of education have you achieved?(4)	4.043	1	.044	
		What is your gender	5.300	2	.071	
		What is your gender(1)	4.596	1	.032	
		What is your gender(2)	4.828	1	.028	
		whitevsnonwhite(1)	6.223	1	.013	
		What is your age? (Binned)	10.251	5	.068	
		What is your age? (Binned)(1)	3.792	1	.052	
		What is your age? (Binned)(2)	.003	1	.959	
		What is your age? (Binned)(3)	7.422	1	.006	
		What is your age? (Binned)(4)	1.561	1	.212	
		What is your age? (Binned)(5)	.215	1	.643	
		Have you worked or trained in any of the following medical/health professions: (select all that a...(1)	6.317	1	.012	
	Overall Statistics	100.842	28	.000	

Block 1: Method = Enter

Omnibus Tests of Model Coefficients	
	Chi-square	df	Sig.	
Step 1	Step	107.974	28	.000	
	Block	107.974	28	.000	
	Model	107.974	28	.000	

Model Summary	
Step	-2 Log likelihood	Cox & Snell R Square	Nagelkerke R Square	
1	1001.569a	.121	.165	

a. Estimation terminated at iteration number 20 because maximum iterations has been reached. Final solution cannot be found.	

Classification Tablea	
	Observed	Predicted	
		Would you want to have this diagnostic test performed given the above information.	Percentage Correct	
		No	Yes		
Step 1	Would you want to have this diagnostic test performed given the above information.	No	141	174	44.8	
		Yes	83	440	84.1	
	Overall Percentage			69.3	

a. The cut value is .500	

Variables in the Equation	
	B	S.E.	Wald	df	Sig.	Exp(B)	95% C.I.for EXP(B)	
							Lower	Upper	
Step 1a	HeartCost(1)	-.541	.157	11.902	1	.001	.582	.428	.791	
	HeartRisk(1)	-.508	.157	10.480	1	.001	.602	.442	.818	
	HeartBenefit(1)	.883	.157	31.644	1	.000	2.418	1.778	3.290	
	Numeracyscore (Binned)			.189	2	.910				
	Numeracyscore (Binned)(1)	-.012	.255	.002	1	.962	.988	.599	1.630	
	Numeracyscore (Binned)(2)	.077	.191	.162	1	.687	1.080	.742	1.571	
	What is your household income level?			17.178	10	.071				
	What is your household income level?(1)	-.059	.364	.026	1	.872	.943	.462	1.924	
	What is your household income level?(2)	-.206	.470	.193	1	.660	.814	.324	2.042	
	What is your household income level?(3)	.611	.445	1.881	1	.170	1.842	.770	4.408	
	What is your household income level?(4)	.072	.302	.057	1	.811	1.075	.595	1.942	
	What is your household income level?(5)	.569	.350	2.640	1	.104	1.766	.889	3.509	
	What is your household income level?(6)	.899	.298	9.091	1	.003	2.458	1.370	4.409	
	What is your household income level?(7)	.165	.302	.300	1	.584	1.180	.653	2.132	
	What is your household income level?(8)	-.160	.271	.347	1	.556	.852	.501	1.451	
	What is your household income level?(9)	.613	.458	1.791	1	.181	1.846	.752	4.528	
	What is your household income level?(10)	-.196	.343	.326	1	.568	.822	.419	1.611	
	What level of education have you achieved?			10.853	4	.028				
	What level of education have you achieved?(1)	.851	.472	3.255	1	.071	2.343	.929	5.907	
	What level of education have you achieved?(2)	.720	.299	5.808	1	.016	2.054	1.144	3.690	
	What level of education have you achieved?(3)	.438	.241	3.283	1	.070	1.549	.965	2.486	
	What level of education have you achieved?(4)	-.013	.237	.003	1	.956	.987	.620	1.571	
	What is your gender			2.547	2	.280				
	What is your gender(1)	-21.769	40195.702	.000	1	1.000	.000	.000	.	
	What is your gender(2)	-22.032	40195.702	.000	1	1.000	.000	.000	.	
	whitevsnonwhite(1)	.426	.212	4.033	1	.045	1.531	1.010	2.319	
	What is your age? (Binned)			11.599	5	.041				
	What is your age? (Binned)(1)	-.420	.392	1.145	1	.285	.657	.305	1.418	
	What is your age? (Binned)(2)	.040	.379	.011	1	.915	1.041	.495	2.188	
	What is your age? (Binned)(3)	.383	.379	1.025	1	.311	1.467	.699	3.081	
	What is your age? (Binned)(4)	-.188	.387	.236	1	.627	.829	.388	1.768	
	What is your age? (Binned)(5)	-.069	.406	.029	1	.866	.934	.421	2.069	
	Have you worked or trained in any of the following medical/health professions: (select all that a...(1)	-.276	.182	2.308	1	.129	.759	.532	1.083	
	Constant	22.089	40195.702	.000	1	1.000	3917796440.533			

a. Variable(s) entered on step 1: HeartCost, HeartRisk, HeartBenefit, Numeracyscore (Binned), What is your household income level?, What level of education have you achieved?, What is your gender, whitevsnonwhite, What is your age? (Binned), Have you worked or trained in any of the following medical/health professions: (select all that a....	

LOGISTIC REGRESSION VARIABLES OutcomeCP
  /METHOD=ENTER HeartCost HeartRisk HeartBenefit Numeracybinned Q49.0 Q24 Q17 whitevsnonwhite
    AgeBinned Q30 Q19 Q20 Q21 Q22 Q23 Q56.0 Q31
  /CONTRAST (HeartCost)=Indicator(1)
  /CONTRAST (HeartRisk)=Indicator(1)
  /CONTRAST (HeartBenefit)=Indicator(1)
  /CONTRAST (Numeracybinned)=Indicator
  /CONTRAST (Q49.0)=Indicator
  /CONTRAST (Q24)=Indicator
  /CONTRAST (Q17)=Indicator
  /CONTRAST (whitevsnonwhite)=Indicator
  /CONTRAST (AgeBinned)=Indicator
  /CONTRAST (Q30)=Indicator
  /CONTRAST (Q19)=Indicator
  /CONTRAST (Q20)=Indicator
  /CONTRAST (Q21)=Indicator
  /CONTRAST (Q22)=Indicator
  /CONTRAST (Q23)=Indicator
  /CONTRAST (Q56.0)=Indicator
  /CONTRAST (Q31)=Indicator
  /PRINT=GOODFIT CI(95)
  /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).

Logistic Regression Model 4

Notes	
Output Created	23-AUG-2019 11:46:05	
Comments		
Input	Data	K:\[Emergency Medicine] Diagnostic Testing Research\Fall 2018 [Jessica]\Rahul2016DiagnosticAccuracyUMHS2019Apr23.sav	
	Active Dataset	DataSet1	
	Filter	<none>	
	Weight	<none>	
	Split File	<none>	
	N of Rows in Working Data File	913	
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing	
Syntax	LOGISTIC REGRESSION VARIABLES OutcomeCP
  /METHOD=ENTER HeartCost HeartRisk HeartBenefit Numeracybinned Q49.0 Q24 Q17 whitevsnonwhite
    AgeBinned Q30 Q19 Q20 Q21 Q22 Q23 Q56.0 Q31
  /CONTRAST (HeartCost)=Indicator(1)
  /CONTRAST (HeartRisk)=Indicator(1)
  /CONTRAST (HeartBenefit)=Indicator(1)
  /CONTRAST (Numeracybinned)=Indicator
  /CONTRAST (Q49.0)=Indicator
  /CONTRAST (Q24)=Indicator
  /CONTRAST (Q17)=Indicator
  /CONTRAST (whitevsnonwhite)=Indicator
  /CONTRAST (AgeBinned)=Indicator
  /CONTRAST (Q30)=Indicator
  /CONTRAST (Q19)=Indicator
  /CONTRAST (Q20)=Indicator
  /CONTRAST (Q21)=Indicator
  /CONTRAST (Q22)=Indicator
  /CONTRAST (Q23)=Indicator
  /CONTRAST (Q56.0)=Indicator
  /CONTRAST (Q31)=Indicator
  /PRINT=GOODFIT CI(95)
  /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).	
Resources	Processor Time	00:00:00.11	
	Elapsed Time	00:00:00.11	

Case Processing Summary	
Unweighted Casesa	N	Percent	
Selected Cases	Included in Analysis	833	91.2	
	Missing Cases	80	8.8	
	Total	913	100.0	
Unselected Cases	0	.0	
Total	913	100.0	

a. If weight is in effect, see classification table for the total number of cases.	

Dependent Variable Encoding	
Original Value	Internal Value	
No	0	
Yes	1	

Categorical Variables Codings	
	Frequency	Parameter coding	
		(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)	(9)	(10)	
What is your household income level?	Less than $10,000	46	1.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	
	$10,000 to $14,999	26	.000	1.000	.000	.000	.000	.000	.000	.000	.000	.000	
	$15,000 to $24,999	32	.000	.000	1.000	.000	.000	.000	.000	.000	.000	.000	
	$25,000 to $34,999	66	.000	.000	.000	1.000	.000	.000	.000	.000	.000	.000	
	$35,000 to $49,999	54	.000	.000	.000	.000	1.000	.000	.000	.000	.000	.000	
	$50,000 to $74,999	88	.000	.000	.000	.000	.000	1.000	.000	.000	.000	.000	
	$75,000 to $99,999	68	.000	.000	.000	.000	.000	.000	1.000	.000	.000	.000	
	$100,000 to $149,999	89	.000	.000	.000	.000	.000	.000	.000	1.000	.000	.000	
	$150,000 to $199,999	28	.000	.000	.000	.000	.000	.000	.000	.000	1.000	.000	
	$200,000 or more	48	.000	.000	.000	.000	.000	.000	.000	.000	.000	1.000	
	Prefer not to respond	288	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	
What is your age? (Binned)	<= 25.00	136	1.000	.000	.000	.000	.000						
	26.00 - 40.00	202	.000	1.000	.000	.000	.000						
	41.00 - 55.00	226	.000	.000	1.000	.000	.000						
	56.00 - 65.00	131	.000	.000	.000	1.000	.000						
	66.00 - 75.00	93	.000	.000	.000	.000	1.000						
	76.00+	45	.000	.000	.000	.000	.000						
What level of education have you achieved?	Some high school	35	1.000	.000	.000	.000							
	High school graduate	137	.000	1.000	.000	.000							
	Some college	285	.000	.000	1.000	.000							
	College graduate	234	.000	.000	.000	1.000							
	Post graduate degree (Master's, PhD, MD, JD, MSW)	142	.000	.000	.000	.000							
In General, would you say your health is:	Excellent	95	1.000	.000	.000	.000							
	Very Good	235	.000	1.000	.000	.000							
	Good	256	.000	.000	1.000	.000							
	Fair	165	.000	.000	.000	1.000							
	Poor	82	.000	.000	.000	.000							
What is your gender	Male	344	1.000	.000									
	2	488	.000	1.000									
	3	1	.000	.000									
Numeracyscore (Binned)	Low numeracy	98	1.000	.000									
	Medium numeracy	245	.000	1.000									
	High numeracy	490	.000	.000									
HeartRisk	0.1	412	.000										
	1	421	1.000										
HeartBenefit	0.1	412	.000										
	1	421	1.000										
Have you had a head injury before that required a visit to the hospital or emergency department?	Yes	181	1.000										
	No	652	.000										
Have you had a heart attack before?	0	791	1.000										
	Yes	42	.000										
Do you have diabetes?	0	699	1.000										
	Yes	134	.000										
whitevsnonwhite	0	152	1.000										
	white	681	.000										
Do you have high blood pressure or do you take medication for high blood pressure?	0	578	1.000										
	Yes	255	.000										
Do you have a history of cancer	0	722	1.000										
	Yes	111	.000										
Have you worked or trained in any of the following medical/health professions: (select all that a...	0	222	1.000										
	I am not a medical professional	611	.000										
Do you have atrial fibrillation? (An abnormal heart rhythm)	0	767	1.000										
	Yes	66	.000										
HeartCost	0	421	.000										
	100	412	1.000										

Block 0: Beginning Block

Classification Tablea,b	
	Observed	Predicted	
		Would you want to have this diagnostic test performed given the above information.	Percentage Correct	
		No	Yes		
Step 0	Would you want to have this diagnostic test performed given the above information.	No	0	313	.0	
		Yes	0	520	100.0	
	Overall Percentage			62.4	

a. Constant is included in the model.	
b. The cut value is .500	

Variables in the Equation	
	B	S.E.	Wald	df	Sig.	Exp(B)	
Step 0	Constant	.508	.072	50.349	1	.000	1.661	

Variables not in the Equation	
	Score	df	Sig.	
Step 0	Variables	HeartCost(1)	11.011	1	.001	
		HeartRisk(1)	5.117	1	.024	
		HeartBenefit(1)	26.817	1	.000	
		Numeracyscore (Binned)	2.124	2	.346	
		Numeracyscore (Binned)(1)	.164	1	.686	
		Numeracyscore (Binned)(2)	1.601	1	.206	
		What is your household income level?	16.187	10	.094	
		What is your household income level?(1)	.162	1	.687	
		What is your household income level?(2)	.009	1	.924	
		What is your household income level?(3)	1.267	1	.260	
		What is your household income level?(4)	.340	1	.560	
		What is your household income level?(5)	.914	1	.339	
		What is your household income level?(6)	7.886	1	.005	
		What is your household income level?(7)	.014	1	.907	
		What is your household income level?(8)	3.064	1	.080	
		What is your household income level?(9)	1.001	1	.317	
		What is your household income level?(10)	2.322	1	.128	
		What level of education have you achieved?	14.211	4	.007	
		What level of education have you achieved?(1)	2.191	1	.139	
		What level of education have you achieved?(2)	5.799	1	.016	
		What level of education have you achieved?(3)	1.143	1	.285	
		What level of education have you achieved?(4)	4.331	1	.037	
		What is your gender	4.992	2	.082	
		What is your gender(1)	4.292	1	.038	
		What is your gender(2)	4.517	1	.034	
		whitevsnonwhite(1)	6.834	1	.009	
		What is your age? (Binned)	10.505	5	.062	
		What is your age? (Binned)(1)	3.670	1	.055	
		What is your age? (Binned)(2)	.000	1	.987	
		What is your age? (Binned)(3)	7.411	1	.006	
		What is your age? (Binned)(4)	1.773	1	.183	
		What is your age? (Binned)(5)	.218	1	.641	
		Have you worked or trained in any of the following medical/health professions: (select all that a...(1)	6.358	1	.012	
		Do you have a history of cancer(1)	.816	1	.366	
		Do you have high blood pressure or do you take medication for high blood pressure?(1)	3.364	1	.067	
		Do you have diabetes?(1)	6.758	1	.009	
		Do you have atrial fibrillation? (An abnormal heart rhythm)(1)	.045	1	.832	
		Have you had a heart attack before?(1)	1.529	1	.216	
		Have you had a head injury before that required a visit to the hospital or emergency department?(1)	.119	1	.730	
		In General, would you say your health is:	27.181	4	.000	
		In General, would you say your health is:(1)	16.970	1	.000	
		In General, would you say your health is:(2)	.821	1	.365	
		In General, would you say your health is:(3)	.079	1	.779	
		In General, would you say your health is:(4)	9.310	1	.002	
	Overall Statistics	120.827	38	.000	

Block 1: Method = Enter

Omnibus Tests of Model Coefficients	
	Chi-square	df	Sig.	
Step 1	Step	130.430	38	.000	
	Block	130.430	38	.000	
	Model	130.430	38	.000	

Model Summary	
Step	-2 Log likelihood	Cox & Snell R Square	Nagelkerke R Square	
1	972.371a	.145	.197	

a. Estimation terminated at iteration number 20 because maximum iterations has been reached. Final solution cannot be found.	

Hosmer and Lemeshow Test	
Step	Chi-square	df	Sig.	
1	4.397	8	.820	

Contingency Table for Hosmer and Lemeshow Test	
	Would you want to have this diagnostic test performed given the above information. = No	Would you want to have this diagnostic test performed given the above information. = Yes	Total	
	Observed	Expected	Observed	Expected		
Step 1	1	59	60.057	24	22.943	83	
	2	51	48.955	32	34.045	83	
	3	44	42.388	39	40.612	83	
	4	36	37.109	47	45.891	83	
	5	33	32.301	50	50.699	83	
	6	29	27.038	54	55.962	83	
	7	20	22.799	63	60.201	83	
	8	15	18.909	68	64.091	83	
	9	19	14.487	64	68.513	83	
	10	7	8.956	79	77.044	86	

Classification Tablea	
	Observed	Predicted	
		Would you want to have this diagnostic test performed given the above information.	Percentage Correct	
		No	Yes		
Step 1	Would you want to have this diagnostic test performed given the above information.	No	140	173	44.7	
		Yes	80	440	84.6	
	Overall Percentage			69.6	

a. The cut value is .500	

Variables in the Equation	
	B	S.E.	Wald	df	Sig.	Exp(B)	95% C.I.for EXP(B)	
							Lower	Upper	
Step 1a	HeartCost(1)	-.559	.161	12.043	1	.001	.572	.417	.784	
	HeartRisk(1)	-.496	.161	9.452	1	.002	.609	.444	.835	
	HeartBenefit(1)	.898	.161	31.109	1	.000	2.454	1.790	3.364	
	Numeracyscore (Binned)			.272	2	.873				
	Numeracyscore (Binned)(1)	-.084	.265	.102	1	.750	.919	.547	1.545	
	Numeracyscore (Binned)(2)	.060	.197	.093	1	.760	1.062	.722	1.561	
	What is your household income level?			16.715	10	.081				
	What is your household income level?(1)	.058	.380	.023	1	.879	1.060	.503	2.233	
	What is your household income level?(2)	-.297	.482	.379	1	.538	.743	.289	1.912	
	What is your household income level?(3)	.639	.457	1.961	1	.161	1.895	.775	4.637	
	What is your household income level?(4)	.155	.308	.252	1	.616	1.167	.638	2.136	
	What is your household income level?(5)	.592	.355	2.778	1	.096	1.808	.901	3.627	
	What is your household income level?(6)	.992	.305	10.588	1	.001	2.696	1.484	4.900	
	What is your household income level?(7)	.317	.310	1.049	1	.306	1.373	.748	2.521	
	What is your household income level?(8)	.010	.281	.001	1	.972	1.010	.582	1.753	
	What is your household income level?(9)	.792	.483	2.687	1	.101	2.208	.856	5.695	
	What is your household income level?(10)	.135	.359	.141	1	.708	1.144	.566	2.312	
	What level of education have you achieved?			6.313	4	.177				
	What level of education have you achieved?(1)	.687	.496	1.917	1	.166	1.988	.752	5.261	
	What level of education have you achieved?(2)	.488	.310	2.485	1	.115	1.629	.888	2.989	
	What level of education have you achieved?(3)	.220	.253	.756	1	.385	1.246	.759	2.047	
	What level of education have you achieved?(4)	-.119	.246	.233	1	.629	.888	.549	1.437	
	What is your gender			2.607	2	.272				
	What is your gender(1)	-21.800	40197.245	.000	1	1.000	.000	.000	.	
	What is your gender(2)	-22.073	40197.245	.000	1	1.000	.000	.000	.	
	whitevsnonwhite(1)	.419	.217	3.712	1	.054	1.520	.993	2.328	
	What is your age? (Binned)			9.632	5	.086				
	What is your age? (Binned)(1)	-.214	.440	.237	1	.627	.807	.341	1.913	
	What is your age? (Binned)(2)	.086	.421	.042	1	.838	1.090	.478	2.485	
	What is your age? (Binned)(3)	.372	.409	.828	1	.363	1.451	.651	3.237	
	What is your age? (Binned)(4)	-.307	.405	.575	1	.448	.736	.333	1.627	
	What is your age? (Binned)(5)	-.217	.422	.264	1	.608	.805	.352	1.842	
	Have you worked or trained in any of the following medical/health professions: (select all that a...(1)	-.308	.187	2.729	1	.099	.735	.510	1.059	
	Do you have a history of cancer(1)	.267	.245	1.187	1	.276	1.306	.808	2.112	
	Do you have high blood pressure or do you take medication for high blood pressure?(1)	-.218	.211	1.066	1	.302	.804	.532	1.216	
	Do you have diabetes?(1)	-.191	.249	.593	1	.441	.826	.507	1.344	
	Do you have atrial fibrillation? (An abnormal heart rhythm)(1)	.301	.308	.951	1	.329	1.351	.738	2.471	
	Have you had a heart attack before?(1)	-.080	.405	.039	1	.844	.923	.418	2.041	
	Have you had a head injury before that required a visit to the hospital or emergency department?(1)	-.181	.194	.872	1	.350	.835	.571	1.220	
	In General, would you say your health is:			15.982	4	.003				
	In General, would you say your health is:(1)	-1.154	.379	9.249	1	.002	.315	.150	.664	
	In General, would you say your health is:(2)	-.345	.327	1.113	1	.291	.708	.373	1.345	
	In General, would you say your health is:(3)	-.381	.318	1.439	1	.230	.683	.367	1.273	
	In General, would you say your health is:(4)	.065	.328	.039	1	.843	1.067	.561	2.031	
	Constant	22.479	40197.245	.000	1	1.000	5784873638.846			

a. Variable(s) entered on step 1: HeartCost, HeartRisk, HeartBenefit, Numeracyscore (Binned), What is your household income level?, What level of education have you achieved?, What is your gender, whitevsnonwhite, What is your age? (Binned), Have you worked or trained in any of the following medical/health professions: (select all that a..., Do you have a history of cancer, Do you have high blood pressure or do you take medication for high blood pressure?, Do you have diabetes?, Do you have atrial fibrillation? (An abnormal heart rhythm), Have you had a heart attack before?, Have you had a head injury before that required a visit to the hospital or emergency department?, In General, would you say your health is:.	

LOGISTIC REGRESSION VARIABLES OutcomeCP
  /METHOD=ENTER HeartCost HeartRisk HeartBenefit Numeracybinned Q49.0 Q24 Q17 whitevsnonwhite
    AgeBinned Q30
  /CONTRAST (HeartCost)=Indicator(1)
  /CONTRAST (HeartRisk)=Indicator(1)
  /CONTRAST (HeartBenefit)=Indicator(1)
  /CONTRAST (Numeracybinned)=Indicator
  /CONTRAST (Q49.0)=Indicator
  /CONTRAST (Q24)=Indicator
  /CONTRAST (Q17)=Indicator
  /CONTRAST (whitevsnonwhite)=Indicator
  /CONTRAST (AgeBinned)=Indicator
  /CONTRAST (Q30)=Indicator
  /PRINT=GOODFIT CI(95)
  /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).

Logistic Regression - Model 3 with Fit

Notes	
Output Created	23-AUG-2019 11:48:22	
Comments		
Input	Data	K:\[Emergency Medicine] Diagnostic Testing Research\Fall 2018 [Jessica]\Rahul2016DiagnosticAccuracyUMHS2019Apr23.sav	
	Active Dataset	DataSet1	
	Filter	<none>	
	Weight	<none>	
	Split File	<none>	
	N of Rows in Working Data File	913	
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing	
Syntax	LOGISTIC REGRESSION VARIABLES OutcomeCP
  /METHOD=ENTER HeartCost HeartRisk HeartBenefit Numeracybinned Q49.0 Q24 Q17 whitevsnonwhite
    AgeBinned Q30
  /CONTRAST (HeartCost)=Indicator(1)
  /CONTRAST (HeartRisk)=Indicator(1)
  /CONTRAST (HeartBenefit)=Indicator(1)
  /CONTRAST (Numeracybinned)=Indicator
  /CONTRAST (Q49.0)=Indicator
  /CONTRAST (Q24)=Indicator
  /CONTRAST (Q17)=Indicator
  /CONTRAST (whitevsnonwhite)=Indicator
  /CONTRAST (AgeBinned)=Indicator
  /CONTRAST (Q30)=Indicator
  /PRINT=GOODFIT CI(95)
  /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).	
Resources	Processor Time	00:00:00.09	
	Elapsed Time	00:00:00.08	

Case Processing Summary	
Unweighted Casesa	N	Percent	
Selected Cases	Included in Analysis	838	91.8	
	Missing Cases	75	8.2	
	Total	913	100.0	
Unselected Cases	0	.0	
Total	913	100.0	

a. If weight is in effect, see classification table for the total number of cases.	

Dependent Variable Encoding	
Original Value	Internal Value	
No	0	
Yes	1	

Categorical Variables Codings	
	Frequency	Parameter coding					
		(1)	(2)	(3)	(4)	(5)	(6)					
What is your household income level?	Less than $10,000	47	1.000	.000	.000	.000	.000	.000					
	$10,000 to $14,999	26	.000	1.000	.000	.000	.000	.000					
	$15,000 to $24,999	33	.000	.000	1.000	.000	.000	.000					
	$25,000 to $34,999	66	.000	.000	.000	1.000	.000	.000					
	$35,000 to $49,999	54	.000	.000	.000	.000	1.000	.000					
	$50,000 to $74,999	89	.000	.000	.000	.000	.000	1.000					
	$75,000 to $99,999	68	.000	.000	.000	.000	.000	.000					
	$100,000 to $149,999	89	.000	.000	.000	.000	.000	.000					
	$150,000 to $199,999	29	.000	.000	.000	.000	.000	.000					
	$200,000 or more	48	.000	.000	.000	.000	.000	.000					
	Prefer not to respond	289	.000	.000	.000	.000	.000	.000					
What is your age? (Binned)	<= 25.00	138	1.000	.000	.000	.000	.000						
	26.00 - 40.00	203	.000	1.000	.000	.000	.000						
	41.00 - 55.00	226	.000	.000	1.000	.000	.000						
	56.00 - 65.00	132	.000	.000	.000	1.000	.000						
	66.00 - 75.00	93	.000	.000	.000	.000	1.000						
	76.00+	46	.000	.000	.000	.000	.000						
What level of education have you achieved?	Some high school	36	1.000	.000	.000	.000							
	High school graduate	139	.000	1.000	.000	.000							
	Some college	285	.000	.000	1.000	.000							
	College graduate	235	.000	.000	.000	1.000							
	Post graduate degree (Master's, PhD, MD, JD, MSW)	143	.000	.000	.000	.000							
What is your gender	Male	348	1.000	.000									
	2	489	.000	1.000									
	3	1	.000	.000									
Numeracyscore (Binned)	Low numeracy	99	1.000	.000									
	Medium numeracy	247	.000	1.000									
	High numeracy	492	.000	.000									
HeartRisk	0.1	416	.000										
	1	422	1.000										
HeartBenefit	0.1	414	.000										
	1	424	1.000										
Have you worked or trained in any of the following medical/health professions: (select all that a...	0	222	1.000										
	I am not a medical professional	616	.000										
whitevsnonwhite	0	153	1.000										
	white	685	.000										
HeartCost	0	424	.000										
	100	414	1.000										

Block 0: Beginning Block

Classification Tablea,b	
	Observed	Predicted	
		Would you want to have this diagnostic test performed given the above information.	Percentage Correct	
		No	Yes		
Step 0	Would you want to have this diagnostic test performed given the above information.	No	0	315	.0	
		Yes	0	523	100.0	
	Overall Percentage			62.4	

a. Constant is included in the model.	
b. The cut value is .500	

Variables in the Equation	
	B	S.E.	Wald	df	Sig.	Exp(B)	
Step 0	Constant	.507	.071	50.536	1	.000	1.660	

Variables not in the Equation	
	Score	df	Sig.	
Step 0	Variables	HeartCost(1)	11.123	1	.001	
		HeartRisk(1)	5.454	1	.020	
		HeartBenefit(1)	26.932	1	.000	
		Numeracyscore (Binned)	1.731	2	.421	
		Numeracyscore (Binned)(1)	.239	1	.625	
		Numeracyscore (Binned)(2)	1.147	1	.284	
		What is your household income level?	16.194	10	.094	
		What is your household income level?(1)	.043	1	.836	
		What is your household income level?(2)	.009	1	.926	
		What is your household income level?(3)	1.559	1	.212	
		What is your household income level?(4)	.337	1	.562	
		What is your household income level?(5)	.918	1	.338	
		What is your household income level?(6)	8.312	1	.004	
		What is your household income level?(7)	.013	1	.909	
		What is your household income level?(8)	3.051	1	.081	
		What is your household income level?(9)	.550	1	.458	
		What is your household income level?(10)	2.315	1	.128	
		What level of education have you achieved?	14.301	4	.006	
		What level of education have you achieved?(1)	1.544	1	.214	
		What level of education have you achieved?(2)	6.454	1	.011	
		What level of education have you achieved?(3)	1.152	1	.283	
		What level of education have you achieved?(4)	4.043	1	.044	
		What is your gender	5.300	2	.071	
		What is your gender(1)	4.596	1	.032	
		What is your gender(2)	4.828	1	.028	
		whitevsnonwhite(1)	6.223	1	.013	
		What is your age? (Binned)	10.251	5	.068	
		What is your age? (Binned)(1)	3.792	1	.052	
		What is your age? (Binned)(2)	.003	1	.959	
		What is your age? (Binned)(3)	7.422	1	.006	
		What is your age? (Binned)(4)	1.561	1	.212	
		What is your age? (Binned)(5)	.215	1	.643	
		Have you worked or trained in any of the following medical/health professions: (select all that a...(1)	6.317	1	.012	
	Overall Statistics	100.842	28	.000	

Block 1: Method = Enter

Omnibus Tests of Model Coefficients	
	Chi-square	df	Sig.	
Step 1	Step	107.974	28	.000	
	Block	107.974	28	.000	
	Model	107.974	28	.000	

Model Summary	
Step	-2 Log likelihood	Cox & Snell R Square	Nagelkerke R Square	
1	1001.569a	.121	.165	

a. Estimation terminated at iteration number 20 because maximum iterations has been reached. Final solution cannot be found.	

Hosmer and Lemeshow Test	
Step	Chi-square	df	Sig.	
1	9.304	8	.317	

Contingency Table for Hosmer and Lemeshow Test	
	Would you want to have this diagnostic test performed given the above information. = No	Would you want to have this diagnostic test performed given the above information. = Yes	Total	
	Observed	Expected	Observed	Expected		
Step 1	1	58	56.976	26	27.024	84	
	2	50	47.831	34	36.169	84	
	3	43	42.629	41	41.371	84	
	4	27	37.229	57	46.771	84	
	5	37	32.500	47	51.500	84	
	6	34	28.447	50	55.553	84	
	7	24	24.146	60	59.854	84	
	8	16	20.034	68	63.966	84	
	9	15	15.563	69	68.437	84	
	10	11	9.645	71	72.355	82	

Classification Tablea	
	Observed	Predicted	
		Would you want to have this diagnostic test performed given the above information.	Percentage Correct	
		No	Yes		
Step 1	Would you want to have this diagnostic test performed given the above information.	No	141	174	44.8	
		Yes	83	440	84.1	
	Overall Percentage			69.3	

a. The cut value is .500	

Variables in the Equation	
	B	S.E.	Wald	df	Sig.	Exp(B)	95% C.I.for EXP(B)	
							Lower	Upper	
Step 1a	HeartCost(1)	-.541	.157	11.902	1	.001	.582	.428	.791	
	HeartRisk(1)	-.508	.157	10.480	1	.001	.602	.442	.818	
	HeartBenefit(1)	.883	.157	31.644	1	.000	2.418	1.778	3.290	
	Numeracyscore (Binned)			.189	2	.910				
	Numeracyscore (Binned)(1)	-.012	.255	.002	1	.962	.988	.599	1.630	
	Numeracyscore (Binned)(2)	.077	.191	.162	1	.687	1.080	.742	1.571	
	What is your household income level?			17.178	10	.071				
	What is your household income level?(1)	-.059	.364	.026	1	.872	.943	.462	1.924	
	What is your household income level?(2)	-.206	.470	.193	1	.660	.814	.324	2.042	
	What is your household income level?(3)	.611	.445	1.881	1	.170	1.842	.770	4.408	
	What is your household income level?(4)	.072	.302	.057	1	.811	1.075	.595	1.942	
	What is your household income level?(5)	.569	.350	2.640	1	.104	1.766	.889	3.509	
	What is your household income level?(6)	.899	.298	9.091	1	.003	2.458	1.370	4.409	
	What is your household income level?(7)	.165	.302	.300	1	.584	1.180	.653	2.132	
	What is your household income level?(8)	-.160	.271	.347	1	.556	.852	.501	1.451	
	What is your household income level?(9)	.613	.458	1.791	1	.181	1.846	.752	4.528	
	What is your household income level?(10)	-.196	.343	.326	1	.568	.822	.419	1.611	
	What level of education have you achieved?			10.853	4	.028				
	What level of education have you achieved?(1)	.851	.472	3.255	1	.071	2.343	.929	5.907	
	What level of education have you achieved?(2)	.720	.299	5.808	1	.016	2.054	1.144	3.690	
	What level of education have you achieved?(3)	.438	.241	3.283	1	.070	1.549	.965	2.486	
	What level of education have you achieved?(4)	-.013	.237	.003	1	.956	.987	.620	1.571	
	What is your gender			2.547	2	.280				
	What is your gender(1)	-21.769	40195.702	.000	1	1.000	.000	.000	.	
	What is your gender(2)	-22.032	40195.702	.000	1	1.000	.000	.000	.	
	whitevsnonwhite(1)	.426	.212	4.033	1	.045	1.531	1.010	2.319	
	What is your age? (Binned)			11.599	5	.041				
	What is your age? (Binned)(1)	-.420	.392	1.145	1	.285	.657	.305	1.418	
	What is your age? (Binned)(2)	.040	.379	.011	1	.915	1.041	.495	2.188	
	What is your age? (Binned)(3)	.383	.379	1.025	1	.311	1.467	.699	3.081	
	What is your age? (Binned)(4)	-.188	.387	.236	1	.627	.829	.388	1.768	
	What is your age? (Binned)(5)	-.069	.406	.029	1	.866	.934	.421	2.069	
	Have you worked or trained in any of the following medical/health professions: (select all that a...(1)	-.276	.182	2.308	1	.129	.759	.532	1.083	
	Constant	22.089	40195.702	.000	1	1.000	3917796440.533			

a. Variable(s) entered on step 1: HeartCost, HeartRisk, HeartBenefit, Numeracyscore (Binned), What is your household income level?, What level of education have you achieved?, What is your gender, whitevsnonwhite, What is your age? (Binned), Have you worked or trained in any of the following medical/health professions: (select all that a....	

LOGISTIC REGRESSION VARIABLES OutcomeCP
  /METHOD=ENTER HeartCost HeartRisk HeartBenefit Numeracybinned Q49.0 Q24
  /CONTRAST (HeartCost)=Indicator(1)
  /CONTRAST (HeartRisk)=Indicator(1)
  /CONTRAST (HeartBenefit)=Indicator(1)
  /CONTRAST (Numeracybinned)=Indicator
  /CONTRAST (Q49.0)=Indicator
  /CONTRAST (Q24)=Indicator
  /PRINT=GOODFIT CI(95)
  /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).

Logistic Regression - Model 2 with fit

Notes	
Output Created	23-AUG-2019 11:50:22	
Comments		
Input	Data	K:\[Emergency Medicine] Diagnostic Testing Research\Fall 2018 [Jessica]\Rahul2016DiagnosticAccuracyUMHS2019Apr23.sav	
	Active Dataset	DataSet1	
	Filter	<none>	
	Weight	<none>	
	Split File	<none>	
	N of Rows in Working Data File	913	
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing	
Syntax	LOGISTIC REGRESSION VARIABLES OutcomeCP
  /METHOD=ENTER HeartCost HeartRisk HeartBenefit Numeracybinned Q49.0 Q24
  /CONTRAST (HeartCost)=Indicator(1)
  /CONTRAST (HeartRisk)=Indicator(1)
  /CONTRAST (HeartBenefit)=Indicator(1)
  /CONTRAST (Numeracybinned)=Indicator
  /CONTRAST (Q49.0)=Indicator
  /CONTRAST (Q24)=Indicator
  /PRINT=GOODFIT CI(95)
  /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).	
Resources	Processor Time	00:00:00.03	
	Elapsed Time	00:00:00.15	

Case Processing Summary	
Unweighted Casesa	N	Percent	
Selected Cases	Included in Analysis	840	92.0	
	Missing Cases	73	8.0	
	Total	913	100.0	
Unselected Cases	0	.0	
Total	913	100.0	

a. If weight is in effect, see classification table for the total number of cases.	

Dependent Variable Encoding	
Original Value	Internal Value	
No	0	
Yes	1	

Categorical Variables Codings	
	Frequency	Parameter coding								
		(1)	(2)	(3)								
What is your household income level?	Less than $10,000	47	1.000	.000	.000								
	$10,000 to $14,999	26	.000	1.000	.000								
	$15,000 to $24,999	33	.000	.000	1.000								
	$25,000 to $34,999	67	.000	.000	.000								
	$35,000 to $49,999	54	.000	.000	.000								
	$50,000 to $74,999	89	.000	.000	.000								
	$75,000 to $99,999	68	.000	.000	.000								
	$100,000 to $149,999	89	.000	.000	.000								
	$150,000 to $199,999	29	.000	.000	.000								
	$200,000 or more	48	.000	.000	.000								
	Prefer not to respond	290	.000	.000	.000								
What level of education have you achieved?	Some high school	36	1.000	.000	.000								
	High school graduate	139	.000	1.000	.000								
	Some college	285	.000	.000	1.000								
	College graduate	236	.000	.000	.000								
	Post graduate degree (Master's, PhD, MD, JD, MSW)	144	.000	.000	.000								
Numeracyscore (Binned)	Low numeracy	99	1.000	.000									
	Medium numeracy	247	.000	1.000									
	High numeracy	494	.000	.000									
HeartRisk	0.1	417	.000										
	1	423	1.000										
HeartBenefit	0.1	416	.000										
	1	424	1.000										
HeartCost	0	426	.000										
	100	414	1.000										

Block 0: Beginning Block

Classification Tablea,b	
	Observed	Predicted	
		Would you want to have this diagnostic test performed given the above information.	Percentage Correct	
		No	Yes		
Step 0	Would you want to have this diagnostic test performed given the above information.	No	0	316	.0	
		Yes	0	524	100.0	
	Overall Percentage			62.4	

a. Constant is included in the model.	
b. The cut value is .500	

Variables in the Equation	
	B	S.E.	Wald	df	Sig.	Exp(B)	
Step 0	Constant	.506	.071	50.421	1	.000	1.658	

Variables not in the Equation	
	Score	df	Sig.	
Step 0	Variables	HeartCost(1)	10.978	1	.001	
		HeartRisk(1)	5.776	1	.016	
		HeartBenefit(1)	27.043	1	.000	
		Numeracyscore (Binned)	1.767	2	.413	
		Numeracyscore (Binned)(1)	.245	1	.620	
		Numeracyscore (Binned)(2)	1.170	1	.279	
		What is your household income level?	16.209	10	.094	
		What is your household income level?(1)	.045	1	.833	
		What is your household income level?(2)	.008	1	.928	
		What is your household income level?(3)	1.567	1	.211	
		What is your household income level?(4)	.223	1	.637	
		What is your household income level?(5)	.926	1	.336	
		What is your household income level?(6)	8.342	1	.004	
		What is your household income level?(7)	.012	1	.913	
		What is your household income level?(8)	3.028	1	.082	
		What is your household income level?(9)	.555	1	.456	
		What is your household income level?(10)	2.300	1	.129	
		What level of education have you achieved?	14.304	4	.006	
		What level of education have you achieved?(1)	1.552	1	.213	
		What level of education have you achieved?(2)	6.489	1	.011	
		What level of education have you achieved?(3)	1.178	1	.278	
		What level of education have you achieved?(4)	4.388	1	.036	
	Overall Statistics	79.995	19	.000	

Block 1: Method = Enter

Omnibus Tests of Model Coefficients	
	Chi-square	df	Sig.	
Step 1	Step	84.877	19	.000	
	Block	84.877	19	.000	
	Model	84.877	19	.000	

Model Summary	
Step	-2 Log likelihood	Cox & Snell R Square	Nagelkerke R Square	
1	1027.566a	.096	.131	

a. Estimation terminated at iteration number 4 because parameter estimates changed by less than .001.	

Hosmer and Lemeshow Test	
Step	Chi-square	df	Sig.	
1	3.070	8	.930	

Contingency Table for Hosmer and Lemeshow Test	
	Would you want to have this diagnostic test performed given the above information. = No	Would you want to have this diagnostic test performed given the above information. = Yes	Total	
	Observed	Expected	Observed	Expected		
Step 1	1	51	54.065	33	29.935	84	
	2	45	45.064	37	36.936	82	
	3	44	40.912	40	43.088	84	
	4	41	36.861	44	48.139	85	
	5	31	33.525	55	52.475	86	
	6	28	29.744	56	54.256	84	
	7	25	25.546	60	59.454	85	
	8	24	21.773	59	61.227	83	
	9	18	17.355	66	66.645	84	
	10	9	11.155	74	71.845	83	

Classification Tablea	
	Observed	Predicted	
		Would you want to have this diagnostic test performed given the above information.	Percentage Correct	
		No	Yes		
Step 1	Would you want to have this diagnostic test performed given the above information.	No	102	214	32.3	
		Yes	76	448	85.5	
	Overall Percentage			65.5	

a. The cut value is .500	

Variables in the Equation	
	B	S.E.	Wald	df	Sig.	Exp(B)	95% C.I.for EXP(B)	
							Lower	Upper	
Step 1a	HeartCost(1)	-.565	.154	13.498	1	.000	.568	.420	.768	
	HeartRisk(1)	-.493	.154	10.290	1	.001	.611	.452	.825	
	HeartBenefit(1)	.902	.154	34.251	1	.000	2.465	1.822	3.335	
	Numeracyscore (Binned)			.113	2	.945				
	Numeracyscore (Binned)(1)	.073	.249	.086	1	.769	1.076	.660	1.753	
	Numeracyscore (Binned)(2)	.044	.186	.057	1	.811	1.045	.727	1.504	
	What is your household income level?			17.371	10	.067				
	What is your household income level?(1)	-.032	.349	.008	1	.928	.969	.489	1.921	
	What is your household income level?(2)	-.061	.451	.018	1	.892	.941	.389	2.277	
	What is your household income level?(3)	.572	.431	1.763	1	.184	1.771	.762	4.119	
	What is your household income level?(4)	.061	.293	.044	1	.834	1.063	.599	1.888	
	What is your household income level?(5)	.459	.336	1.860	1	.173	1.582	.818	3.058	
	What is your household income level?(6)	.953	.292	10.624	1	.001	2.593	1.462	4.598	
	What is your household income level?(7)	.227	.293	.601	1	.438	1.255	.707	2.226	
	What is your household income level?(8)	-.049	.265	.034	1	.854	.952	.566	1.602	
	What is your household income level?(9)	.668	.446	2.241	1	.134	1.950	.813	4.677	
	What is your household income level?(10)	-.234	.337	.481	1	.488	.792	.409	1.532	
	What level of education have you achieved?			13.369	4	.010				
	What level of education have you achieved?(1)	1.118	.455	6.044	1	.014	3.058	1.254	7.457	
	What level of education have you achieved?(2)	.780	.286	7.445	1	.006	2.182	1.246	3.823	
	What level of education have you achieved?(3)	.467	.230	4.110	1	.043	1.595	1.016	2.506	
	What level of education have you achieved?(4)	.063	.227	.076	1	.783	1.065	.682	1.661	
	Constant	.088	.261	.115	1	.734	1.092			

a. Variable(s) entered on step 1: HeartCost, HeartRisk, HeartBenefit, Numeracyscore (Binned), What is your household income level?, What level of education have you achieved?.	

LOGISTIC REGRESSION VARIABLES OutcomeCP
  /METHOD=ENTER HeartCost HeartRisk HeartBenefit
  /CONTRAST (HeartCost)=Indicator(1)
  /CONTRAST (HeartRisk)=Indicator(1)
  /CONTRAST (HeartBenefit)=Indicator(1)
  /PRINT=GOODFIT CI(95)
  /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).

Logistic Regression - Model 1 with fit

Notes	
Output Created	23-AUG-2019 11:50:52	
Comments		
Input	Data	K:\[Emergency Medicine] Diagnostic Testing Research\Fall 2018 [Jessica]\Rahul2016DiagnosticAccuracyUMHS2019Apr23.sav	
	Active Dataset	DataSet1	
	Filter	<none>	
	Weight	<none>	
	Split File	<none>	
	N of Rows in Working Data File	913	
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing	
Syntax	LOGISTIC REGRESSION VARIABLES OutcomeCP
  /METHOD=ENTER HeartCost HeartRisk HeartBenefit
  /CONTRAST (HeartCost)=Indicator(1)
  /CONTRAST (HeartRisk)=Indicator(1)
  /CONTRAST (HeartBenefit)=Indicator(1)
  /PRINT=GOODFIT CI(95)
  /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).	
Resources	Processor Time	00:00:00.05	
	Elapsed Time	00:00:00.05	

Case Processing Summary	
Unweighted Casesa	N	Percent	
Selected Cases	Included in Analysis	912	99.9	
	Missing Cases	1	.1	
	Total	913	100.0	
Unselected Cases	0	.0	
Total	913	100.0	

a. If weight is in effect, see classification table for the total number of cases.	

Dependent Variable Encoding	
Original Value	Internal Value	
No	0	
Yes	1	

Categorical Variables Codings	
	Frequency	Parameter coding	
		(1)	
HeartBenefit	0.1	455	.000	
	1	457	1.000	
HeartRisk	0.1	456	.000	
	1	456	1.000	
HeartCost	0	459	.000	
	100	453	1.000	

Block 0: Beginning Block

Classification Tablea,b	
	Observed	Predicted	
		Would you want to have this diagnostic test performed given the above information.	Percentage Correct	
		No	Yes		
Step 0	Would you want to have this diagnostic test performed given the above information.	No	0	340	.0	
		Yes	0	572	100.0	
	Overall Percentage			62.7	

a. Constant is included in the model.	
b. The cut value is .500	

Variables in the Equation	
	B	S.E.	Wald	df	Sig.	Exp(B)	
Step 0	Constant	.520	.068	57.705	1	.000	1.682	

Variables not in the Equation	
	Score	df	Sig.	
Step 0	Variables	HeartCost(1)	10.026	1	.002	
		HeartRisk(1)	8.272	1	.004	
		HeartBenefit(1)	35.287	1	.000	
	Overall Statistics	57.984	3	.000	

Block 1: Method = Enter

Omnibus Tests of Model Coefficients	
	Chi-square	df	Sig.	
Step 1	Step	59.441	3	.000	
	Block	59.441	3	.000	
	Model	59.441	3	.000	

Model Summary	
Step	-2 Log likelihood	Cox & Snell R Square	Nagelkerke R Square	
1	1145.188a	.063	.086	

a. Estimation terminated at iteration number 4 because parameter estimates changed by less than .001.	

Hosmer and Lemeshow Test	
Step	Chi-square	df	Sig.	
1	5.002	6	.544	

Contingency Table for Hosmer and Lemeshow Test	
	Would you want to have this diagnostic test performed given the above information. = No	Would you want to have this diagnostic test performed given the above information. = Yes	Total	
	Observed	Expected	Observed	Expected		
Step 1	1	55	57.506	41	38.494	96	
	2	61	56.138	58	62.862	119	
	3	59	60.379	69	67.621	128	
	4	39	42.015	71	67.985	110	
	5	38	38.977	74	73.023	112	
	6	36	35.340	95	95.660	131	
	7	39	32.100	80	86.900	119	
	8	13	17.545	84	79.455	97	

Classification Tablea	
	Observed	Predicted	
		Would you want to have this diagnostic test performed given the above information.	Percentage Correct	
		No	Yes		
Step 1	Would you want to have this diagnostic test performed given the above information.	No	55	285	16.2	
		Yes	41	531	92.8	
	Overall Percentage			64.3	

a. The cut value is .500	

Variables in the Equation	
	B	S.E.	Wald	df	Sig.	Exp(B)			
									
Step 1a	HeartCost(1)	-.515	.143	12.964	1	.000	.598			
	HeartRisk(1)	-.515	.143	12.879	1	.000	.598			
	HeartBenefit(1)	.883	.143	37.943	1	.000	2.417			
	Constant	.628	.142	19.642	1	.000	1.873