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Descriptive statistics
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
how often R attends service 2525 1 2 1.29 .452
IF R DIVORCED OR
SEPERATED
1365 0 1 .25 .435
WHICH CLASS R
IDENTIFIES WITH
2519 .00 1.00 .4490 .49749
Valid N (listwise) 1350
Charts
Graph 1
Graph 2
Graph 3
Crosstabs
Figure 1- divorce and attend
Case Processing Summary
Cases
Valid Missing Total
N
Perce
nt N
Perce
nt N
Perce
nt
IF R
DIVORCED
OR
SEPERATED
* how often R
attends
service
1356 53.4% 1182 46.6% 2538
100.0
%
IF R DIVORCED OR SEPERATED * how often R
attends service Crosstabulation
Count
how often R attends
service
Total1 2
IF R
DIVORCED
OR
SEPERATED
0 647 366 1013
1
230 113 343
Total 877 479 1356
Figure 2- divorce and class
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
IF R
DIVORCED OR
SEPERATED *
WHICH CLASS
R IDENTIFIES
WITH
1357 53.5% 1181 46.5% 2538 100.0%
IF R DIVORCED OR SEPERATED * WHICH CLASS R
IDENTIFIES WITH Crosstabulation
Count
WHICH CLASS R
IDENTIFIES WITH
Total0 1
IF R
DIVORCED OR
SEPERATED
0 481 531 1012
1
174 171 345
Total 655 702 1357
Regression
Figure 1- bivariate analysis of divorce and attend
Model Summary
Mod
el R
R
Squar
e
Adjusted
R Square
Std. Error
of the
Estimate
1 .029a .001 .000 .435
a. Predictors: (Constant), how often R attends
service
Coefficientsa
Model
Unstandardized
Coefficients
Standardiz
ed
Coefficient
s
t Sig.B Std. Error Beta
1 (Constant) .289 .035 8.140 .000
how often R
attends
service
-.026 .025 -.029 -1.067 .286
a. Dependent Variable: IF R DIVORCED OR SEPERATED
Figure 2 –bivariate analysis of divorce and class
Model Summary
Mod
el R
R
Squar
e
Adjusted
R Square
Std. Error
of the
Estimate
1 .025a .001 .000 .436
a. Predictors: (Constant), WHICH CLASS R
IDENTIFIES WITH
Coefficientsa
Model
Unstandardized
Coefficients
Standardiz
ed
Coefficient
s
t Sig.B Std. Error Beta
1 (Constant) .266 .017 15.607 .000
WHICH
CLASS R
IDENTIFIES
WITH
-.022 .024 -.025 -.932 .351
a. Dependent Variable: IF R DIVORCED OR SEPERATED
Figure 3- multivariate analysis
Model Summary
Mod
el R
R
Squar
e
Adjusted
R Square
Std. Error
of the
Estimate
1 .039a .002 .000 .435
a. Predictors: (Constant), WHICH CLASS R
IDENTIFIES WITH, how often R attends service
Coefficientsa
Model
Unstandardized
Coefficients
Standardiz
ed
Coefficient
s
t Sig.B Std. Error Beta
1 (Constant) .302 .038 7.960 .000
how often R
attends
service
-.028 .025 -.030 -1.120 .263
WHICH
CLASS R
IDENTIFIES
WITH
-.022 .024 -.025 -.920 .357
a. Dependent Variable: IF R DIVORCED OR SEPERATED

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Charts for Quantitative Research

  • 1. Descriptive statistics Descriptive Statistics N Minimum Maximum Mean Std. Deviation how often R attends service 2525 1 2 1.29 .452 IF R DIVORCED OR SEPERATED 1365 0 1 .25 .435 WHICH CLASS R IDENTIFIES WITH 2519 .00 1.00 .4490 .49749 Valid N (listwise) 1350
  • 5. Crosstabs Figure 1- divorce and attend Case Processing Summary Cases Valid Missing Total N Perce nt N Perce nt N Perce nt IF R DIVORCED OR SEPERATED * how often R attends service 1356 53.4% 1182 46.6% 2538 100.0 % IF R DIVORCED OR SEPERATED * how often R attends service Crosstabulation Count how often R attends service Total1 2 IF R DIVORCED OR SEPERATED 0 647 366 1013 1 230 113 343 Total 877 479 1356
  • 6. Figure 2- divorce and class Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent IF R DIVORCED OR SEPERATED * WHICH CLASS R IDENTIFIES WITH 1357 53.5% 1181 46.5% 2538 100.0% IF R DIVORCED OR SEPERATED * WHICH CLASS R IDENTIFIES WITH Crosstabulation Count WHICH CLASS R IDENTIFIES WITH Total0 1 IF R DIVORCED OR SEPERATED 0 481 531 1012 1 174 171 345 Total 655 702 1357
  • 7. Regression Figure 1- bivariate analysis of divorce and attend Model Summary Mod el R R Squar e Adjusted R Square Std. Error of the Estimate 1 .029a .001 .000 .435 a. Predictors: (Constant), how often R attends service Coefficientsa Model Unstandardized Coefficients Standardiz ed Coefficient s t Sig.B Std. Error Beta 1 (Constant) .289 .035 8.140 .000 how often R attends service -.026 .025 -.029 -1.067 .286 a. Dependent Variable: IF R DIVORCED OR SEPERATED
  • 8. Figure 2 –bivariate analysis of divorce and class Model Summary Mod el R R Squar e Adjusted R Square Std. Error of the Estimate 1 .025a .001 .000 .436 a. Predictors: (Constant), WHICH CLASS R IDENTIFIES WITH Coefficientsa Model Unstandardized Coefficients Standardiz ed Coefficient s t Sig.B Std. Error Beta 1 (Constant) .266 .017 15.607 .000 WHICH CLASS R IDENTIFIES WITH -.022 .024 -.025 -.932 .351 a. Dependent Variable: IF R DIVORCED OR SEPERATED
  • 9. Figure 3- multivariate analysis Model Summary Mod el R R Squar e Adjusted R Square Std. Error of the Estimate 1 .039a .002 .000 .435 a. Predictors: (Constant), WHICH CLASS R IDENTIFIES WITH, how often R attends service Coefficientsa Model Unstandardized Coefficients Standardiz ed Coefficient s t Sig.B Std. Error Beta 1 (Constant) .302 .038 7.960 .000 how often R attends service -.028 .025 -.030 -1.120 .263 WHICH CLASS R IDENTIFIES WITH -.022 .024 -.025 -.920 .357 a. Dependent Variable: IF R DIVORCED OR SEPERATED