Week 11 project
jamiahr23
logesticandmultilogesricregression2.docGET
FILE='E:\online task\spss task\General Social Survey Dataset A.sav'.
DATASET NAME DataSet1 WINDOW=FRONT.
LOGISTIC REGRESSION VARIABLES owngun
/METHOD=ENTER age
/CONTRAST (age)=Indicator
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
Notes
Output Created
28-JUN-2021 18:53:05
Comments
Input
Data
E:\online task\spss task\General Social Survey Dataset A.sav
Active Dataset
DataSet1
Filter
<none>
Weight
<none>
Split File
<none>
N of Rows in Working Data File
507
Missing Value Handling
Definition of Missing
User-defined missing values are treated as missing
Syntax
LOGISTIC REGRESSION VARIABLES owngun
/METHOD=ENTER age USCITZN coninc
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Resources
Processor Time
00:00:00.03
Elapsed Time
00:00:00.23
Case Processing Summary
Unweighted Casesa
N
Percent
Selected Cases
Included in Analysis
77
15.2
Missing Cases
430
84.8
Total
507
100.0
Unselected Cases
0
.0
Total
507
100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original Value
Internal Value
YES
0
NO
1
Block 0: Beginning Block
Classification Table a,b
Observed
Predicted
HAVE GUN IN HOME
Percentage Correct
YES
NO
Step 0
HAVE GUN IN HOME
YES
0
3
.0
NO
0
74
100.0
Overall Percentage
96.1
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
3.205
.589
29.624
1
.000
24.667
Variables not in the Equation a
Score
df
Sig.
Step 0
Variables
AGE OF RESPONDENT
2.339
1
.126
IS R US CITIZEN
1.469
1
.225
FAMILY INCOME IN CONSTANT DOLLARS
2.601
1
.107
a. Residual Chi-Squares are not computed because of redundancies.
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square
df
Sig.
Step 1
Step
6.571
3
.087
Block
6.571
3
.087
Model
6.571
3
.087
Model Summary
Step
-2 Log likelihood
Cox & Snell R Square
Nagelkerke R Square
1
18.782a
.082
.292
a. Estimation terminated at iteration number 20 because maximum iterations has been reached. Final solution cannot be found.
Classification Table a
Observed
Predicted
HAVE GUN IN HOME
Percentage Correct
YES
NO
Step 1
HAVE GUN IN HOME
YES
0
3
.0
NO
0
74
100.0
Overall Percentage
96.1
a. The cut value is .500
Variables in the Equation
B
S.E.
Wald
df
Sig.
Step 1a
AGE OF RESPONDENT
-.067
.049
1.865
1
.172
IS R US CITIZEN
17.205
6521.916
.000
1
.998
FAMILY INCOME IN CONSTANT DOLLARS
.000
.000
2.266
1
.132
Constant
-9.284
6521.917
.000
1
.999
NOMREG owngun (BASE=LAST ORDER=ASCENDING) WITH age citizen coninc
/CRITERIA CIN(95) DELTA(0) MXITER(100) MXSTEP(5) CHKSEP(20) LCONVERGE(0) PCONVERGE(0.000001)
SINGULAR(0.00000001)
/MODEL
/STEPWISE=PIN(.05) POUT(0.1) MINEFFECT(0) RULE(SINGLE) ENTRYMETHOD(LR) REMOVALMETHOD(LR)
/INTERCEPT=INCLUDE
/PRINT=PARAMETER SUMMARY LRT CPS STEP MFI.
Nominal Regression
Notes
Output Created
28-JUN-2021 18:57:06
Comments
Input
Data
E:\online task\spss task\General Social Survey Dataset A.sav
Active Dataset
DataSet1
Filter
<none>
Weight
<none>
Split File
<none>
N of Rows in Working Data File
507
Missing Value Handling
Definition of Missing
User-defined missing values are treated as missing.
Cases Used
Statistics are based on all cases with valid data for all variables in the model.
Syntax
NOMREG owngun (BASE=LAST ORDER=ASCENDING) WITH age citizen coninc
/CRITERIA CIN(95) DELTA(0) MXITER(100) MXSTEP(5) CHKSEP(20) LCONVERGE(0) PCONVERGE(0.000001)
SINGULAR(0.00000001)
/MODEL
/STEPWISE=PIN(.05) POUT(0.1) MINEFFECT(0) RULE(SINGLE) ENTRYMETHOD(LR) REMOVALMETHOD(LR)
/INTERCEPT=INCLUDE
/PRINT=PARAMETER SUMMARY LRT CPS STEP MFI.
Resources
Processor Time
00:00:00.05
Elapsed Time
00:00:00.10
Warnings
Unexpected singularities in the Hessian matrix are encountered. This indicates that either some predictor variables should be excluded or some categories should be merged.
The NOMREG procedure continues despite the above warning(s). Subsequent results shown are based on the last iteration. Validity of the model fit is uncertain.
Case Processing Summary
N
Marginal Percentage
HAVE GUN IN HOME
YES
14
9.1%
NO
138
89.6%
REFUSED
2
1.3%
Valid
154
100.0%
Missing
353
Total
507
Subpopulation
147a
a. The dependent variable has only one value observed in 145 (98.6%) subpopulations.
Model Fitting Information
Model
Model Fitting Criteria
Likelihood Ratio Tests
-2 Log Likelihood
Chi-Square
df
Sig.
Intercept Only
109.823
Final
94.523
15.301
6
.018
Pseudo R-Square
Cox and Snell
.095
Nagelkerke
.180
McFadden
.133
Likelihood Ratio Tests
Effect
Model Fitting Criteria
Likelihood Ratio Tests
-2 Log Likelihood of Reduced Model
Chi-Square
df
Sig.
Intercept
94.554
.032
2
.984
AGE OF RESPONDENT
97.150
2.627
2
.269
ARE YOU A CITIZEN OF AMERICA?
96.237
1.715
2
.424
FAMILY INCOME IN CONSTANT DOLLARS
104.109
9.586
2
.008
The chi-square statistic is the difference in -2 log-likelihoods between the final model and a reduced model. The reduced model is formed by omitting an effect from the final model. The null hypothesis is that all parameters of that effect are 0.
Parameter Estimates
HAVE GUN IN HOMEa
B
Std. Error
Wald
df
Sig.
YES
Intercept
-2.386
1730.167
.000
1
.999
AGE OF RESPONDENT
.007
.046
.022
1
.881
ARE YOU A CITIZEN OF AMERICA?
1.247
1730.164
.000
1
.999
FAMILY INCOME IN CONSTANT DOLLARS
.000
.000
1.944
1
.163
NO
Intercept
-12.184
2.293
28.228
1
.000
AGE OF RESPONDENT
-.020
.043
.221
1
.638
ARE YOU A CITIZEN OF AMERICA?
15.678
.000
.
1
.
FAMILY INCOME IN CONSTANT DOLLARS
.000
.000
1.279
1
.258
