GET
  FILE='d:\eee\konting\spss\socnet2001.sav'.
************* súlyozás
WEIGHT BY weight.
TITLE 'ISSP2001, Magyarország, Barátok száma a közelben'
.

ISSP2001, Magyarország, Barátok száma a közelben

************ magyarország
USE ALL.
SELECT IF (v3 = 8).
EXECUTE.
SET FORMAT = F8.0
.
************ kategóriák összevonása
RECODE ager (1 2=1) (3 4=2) (5 6=3) INTO Ager3.
VALUE LABELS Ager3  1 '15-34' 2 '35-54' 3 '55-101' .
VARIABLE LABELS  Ager3 'age_3levels'.
EXECUTE.
RECODE v57 (3 4 =2) (1 2=1) INTO happy2.
VARIABLE LABELS  happy2 'happy2'.
EXECUTE.
RECODE degree (1 2 3 4=1) (5 6 7=2)  INTO  degree2.
VARIABLE LABELS  degree2 'iskvegz2'.
EXECUTE.
RECODE v24r (0=0) (1=1) (2=2) (3 4 5 6 7 8 9 10=3)  INTO  v24rr.
VARIABLE LABELS  v24rr 'barátok_helyben'.
EXECUTE.
********** loglin elemzés
TITLE 'automata modellkeresés, p=0.05'
.

automata modellkeresés, p=0.05

hiloglinear
ager3 (1 3) happy2(1 2) degree2(1 2) v24rr(0 3) urbrural(1 3)
/METHOD=BACKWARD
/CRITERIA P(.05)
/PRINT none
/DESIGN
.


Hierarchical Loglinear Analysis


Notes
Output Created 2010-11-10T19:31:04.468
Comments
Input Data d:\eee\konting\spss\socnet2001.sav
File Label NSDstat generated file
Filter <none>
Weight weight
Split File <none>
N of Rows in Working Data File 1524
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 hiloglinear
ager3 (1 3) happy2(1 2) degree2(1 2) v24rr(0 3) urbrural(1 3)
/METHOD=BACKWARD
/CRITERIA P(.05)
/PRINT none
/DESIGN
.
Resources Processor Time 0:00:00.656
Elapsed Time 0:00:00.452


d:\eee\konting\spss\socnet2001.sav
Data Information
  N
Cases Valid 1404
Out of Rangea 0
Missing 120
Weighted Valid 1410
Categories Ager3 3
happy2 2
degree2 2
v24rr 4
urbrural 3
a. Cases rejected because of out of range factor values.


Design 1


Convergence Information
Generating Class Ager3*happy2*degree2*v24rr*urbrural
Number of Iterations 1,000
Max. Difference between Observed and Fitted Marginals ,000
Convergence Criterion ,250

Goodness-of-Fit Tests
  Chi-Square df Sig.
Likelihood Ratio ,000 0 .
Pearson ,000 0 .

K-Way and Higher-Order Effects
  K df Likelihood Ratio Pearson Number of Iterations
  Chi-Square Sig. Chi-Square Sig.
K-way and Higher Order Effectsa 1 143 1553,283 ,000 1876,287 ,000 0
2 134 424,155 ,000 420,550 ,000 2
3 103 137,402 ,013 142,897 ,006 5
4 52 67,960 ,068 63,326 ,135 5
5 12 12,985 ,370 17,387 ,136 7
K-way Effectsb 1 9 1129,128 ,000 1455,736 ,000 0
2 31 286,752 ,000 277,653 ,000 0
3 51 69,442 ,044 79,571 ,006 0
4 40 54,975 ,058 45,939 ,240 0
5 12 12,985 ,370 17,387 ,136 0
df used for these tests have NOT been adjusted for structural or sampling zeros. Tests using these df may be conservative.
a. Tests that k-way and higher order effects are zero.
b. Tests that k-way effects are zero.


Backward Elimination Statistics


Step Summary
Stepa Effects Chi-Squarec df Sig. Number of Iterations
0 Generating Classb Ager3*happy2*degree2*v24rr*urbrural ,000 0 .  
Deleted Effect 1 Ager3*happy2*degree2*v24rr*urbrural 12,985 12 ,370 7
1 Generating Classb Ager3*happy2*degree2*v24rr, Ager3*happy2*degree2*urbrural, Ager3*happy2*v24rr*urbrural, Ager3*degree2*v24rr*urbrural, happy2*degree2*v24rr*urbrural 12,985 12 ,370  
Deleted Effect 1 Ager3*happy2*degree2*v24rr 5,908 6 ,434 5
2 Ager3*happy2*degree2*urbrural 12,998 4 ,011 5
3 Ager3*happy2*v24rr*urbrural 29,269 12 ,004 4
4 Ager3*degree2*v24rr*urbrural 4,757 12 ,966 7
5 happy2*degree2*v24rr*urbrural 3,081 6 ,799 7
2 Generating Classb Ager3*happy2*degree2*v24rr, Ager3*happy2*degree2*urbrural, Ager3*happy2*v24rr*urbrural, happy2*degree2*v24rr*urbrural 17,742 24 ,815  
Deleted Effect 1 Ager3*happy2*degree2*v24rr 7,775 6 ,255 5
2 Ager3*happy2*degree2*urbrural 13,081 4 ,011 4
3 Ager3*happy2*v24rr*urbrural 31,402 12 ,002 4
4 happy2*degree2*v24rr*urbrural 2,881 6 ,824 7
3 Generating Classb Ager3*happy2*degree2*v24rr, Ager3*happy2*degree2*urbrural, Ager3*happy2*v24rr*urbrural, degree2*v24rr*urbrural 20,623 30 ,899  
Deleted Effect 1 Ager3*happy2*degree2*v24rr 11,524 6 ,073 4
2 Ager3*happy2*degree2*urbrural 13,130 4 ,011 6
3 Ager3*happy2*v24rr*urbrural 32,925 12 ,001 4
4 degree2*v24rr*urbrural 8,527 6 ,202 7
4 Generating Classb Ager3*happy2*degree2*v24rr, Ager3*happy2*degree2*urbrural, Ager3*happy2*v24rr*urbrural 29,151 36 ,784  
Deleted Effect 1 Ager3*happy2*degree2*v24rr 11,545 6 ,073 4
2 Ager3*happy2*degree2*urbrural 13,441 4 ,009 5
3 Ager3*happy2*v24rr*urbrural 32,125 12 ,001 4
5 Generating Classb Ager3*happy2*degree2*urbrural, Ager3*happy2*v24rr*urbrural, Ager3*degree2*v24rr, happy2*degree2*v24rr 40,696 42 ,528  
Deleted Effect 1 Ager3*happy2*degree2*urbrural 9,063 4 ,060 5
2 Ager3*happy2*v24rr*urbrural 26,203 12 ,010 4
3 Ager3*degree2*v24rr 4,511 6 ,608 4
4 happy2*degree2*v24rr 4,834 3 ,184 4
6 Generating Classb Ager3*happy2*degree2*urbrural, Ager3*happy2*v24rr*urbrural, happy2*degree2*v24rr 45,207 48 ,588  
Deleted Effect 1 Ager3*happy2*degree2*urbrural 9,522 4 ,049 5
2 Ager3*happy2*v24rr*urbrural 26,597 12 ,009 4
3 happy2*degree2*v24rr 6,458 3 ,091 4
7 Generating Classb Ager3*happy2*degree2*urbrural, Ager3*happy2*v24rr*urbrural, degree2*v24rr 51,665 51 ,448  
Deleted Effect 1 Ager3*happy2*degree2*urbrural 9,659 4 ,047 5
2 Ager3*happy2*v24rr*urbrural 26,407 12 ,009 4
3 degree2*v24rr 3,770 3 ,287 2
8 Generating Classb Ager3*happy2*degree2*urbrural, Ager3*happy2*v24rr*urbrural 55,435 54 ,420  
Deleted Effect 1 Ager3*happy2*degree2*urbrural 9,537 4 ,049 5
2 Ager3*happy2*v24rr*urbrural 26,184 12 ,010 3
9 Generating Classb Ager3*happy2*degree2*urbrural, Ager3*happy2*v24rr*urbrural 55,435 54 ,420  
a. At each step, the effect with the largest significance level for the Likelihood Ratio Change is deleted, provided the significance level is larger than .050.
b. Statistics are displayed for the best model at each step after step 0.
c. For 'Deleted Effect', this is the change in the Chi-Square after the effect is deleted from the model.

Convergence Informationa
Generating Class Ager3*happy2*degree2*urbrural, Ager3*happy2*v24rr*urbrural
Number of Iterations ,000
Max. Difference between Observed and Fitted Marginals ,000
Convergence Criterion ,250
a. Statistics for the final model after Backward Elimination.

Goodness-of-Fit Tests
  Chi-Square df Sig.
Likelihood Ratio 55,435 54 ,420
Pearson 51,399 54 ,575


TITLE 'automata  modellkeresés, p=0.01'
.

automata  modellkeresés, p=0.01

hiloglinear
ager3 (1 3) happy2(1 2) degree2(1 2) v24rr(0 3) urbrural(1 3)
/METHOD=BACKWARD
/CRITERIA P(.01)
/PRINT none
/DESIGN
.


Hierarchical Loglinear Analysis


Notes
Output Created 2010-11-10T19:31:05.218
Comments
Input Data d:\eee\konting\spss\socnet2001.sav
File Label NSDstat generated file
Filter <none>
Weight weight
Split File <none>
N of Rows in Working Data File 1524
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 hiloglinear
ager3 (1 3) happy2(1 2) degree2(1 2) v24rr(0 3) urbrural(1 3)
/METHOD=BACKWARD
/CRITERIA P(.01)
/PRINT none
/DESIGN
.
Resources Processor Time 0:00:00.593
Elapsed Time 0:00:00.312


d:\eee\konting\spss\socnet2001.sav
Data Information
  N
Cases Valid 1404
Out of Rangea 0
Missing 120
Weighted Valid 1410
Categories Ager3 3
happy2 2
degree2 2
v24rr 4
urbrural 3
a. Cases rejected because of out of range factor values.


Design 1


Convergence Information
Generating Class Ager3*happy2*degree2*v24rr*urbrural
Number of Iterations 1,000
Max. Difference between Observed and Fitted Marginals ,000
Convergence Criterion ,250

Goodness-of-Fit Tests
  Chi-Square df Sig.
Likelihood Ratio ,000 0 .
Pearson ,000 0 .

K-Way and Higher-Order Effects
  K df Likelihood Ratio Pearson Number of Iterations
  Chi-Square Sig. Chi-Square Sig.
K-way and Higher Order Effectsa 1 143 1553,283 ,000 1876,287 ,000 0
2 134 424,155 ,000 420,550 ,000 2
3 103 137,402 ,013 142,897 ,006 5
4 52 67,960 ,068 63,326 ,135 5
5 12 12,985 ,370 17,387 ,136 7
K-way Effectsb 1 9 1129,128 ,000 1455,736 ,000 0
2 31 286,752 ,000 277,653 ,000 0
3 51 69,442 ,044 79,571 ,006 0
4 40 54,975 ,058 45,939 ,240 0
5 12 12,985 ,370 17,387 ,136 0
df used for these tests have NOT been adjusted for structural or sampling zeros. Tests using these df may be conservative.
a. Tests that k-way and higher order effects are zero.
b. Tests that k-way effects are zero.


Backward Elimination Statistics


Step Summary
Stepa Effects Chi-Squarec df Sig. Number of Iterations
0 Generating Classb Ager3*happy2*degree2*v24rr*urbrural ,000 0 .  
Deleted Effect 1 Ager3*happy2*degree2*v24rr*urbrural 12,985 12 ,370 7
1 Generating Classb Ager3*happy2*degree2*v24rr, Ager3*happy2*degree2*urbrural, Ager3*happy2*v24rr*urbrural, Ager3*degree2*v24rr*urbrural, happy2*degree2*v24rr*urbrural 12,985 12 ,370  
Deleted Effect 1 Ager3*happy2*degree2*v24rr 5,908 6 ,434 5
2 Ager3*happy2*degree2*urbrural 12,998 4 ,011 5
3 Ager3*happy2*v24rr*urbrural 29,269 12 ,004 4
4 Ager3*degree2*v24rr*urbrural 4,757 12 ,966 7
5 happy2*degree2*v24rr*urbrural 3,081 6 ,799 7
2 Generating Classb Ager3*happy2*degree2*v24rr, Ager3*happy2*degree2*urbrural, Ager3*happy2*v24rr*urbrural, happy2*degree2*v24rr*urbrural 17,742 24 ,815  
Deleted Effect 1 Ager3*happy2*degree2*v24rr 7,775 6 ,255 5
2 Ager3*happy2*degree2*urbrural 13,081 4 ,011 4
3 Ager3*happy2*v24rr*urbrural 31,402 12 ,002 4
4 happy2*degree2*v24rr*urbrural 2,881 6 ,824 7
3 Generating Classb Ager3*happy2*degree2*v24rr, Ager3*happy2*degree2*urbrural, Ager3*happy2*v24rr*urbrural, degree2*v24rr*urbrural 20,623 30 ,899  
Deleted Effect 1 Ager3*happy2*degree2*v24rr 11,524 6 ,073 4
2 Ager3*happy2*degree2*urbrural 13,130 4 ,011 6
3 Ager3*happy2*v24rr*urbrural 32,925 12 ,001 4
4 degree2*v24rr*urbrural 8,527 6 ,202 7
4 Generating Classb Ager3*happy2*degree2*v24rr, Ager3*happy2*degree2*urbrural, Ager3*happy2*v24rr*urbrural 29,151 36 ,784  
Deleted Effect 1 Ager3*happy2*degree2*v24rr 11,545 6 ,073 4
2 Ager3*happy2*degree2*urbrural 13,441 4 ,009 5
3 Ager3*happy2*v24rr*urbrural 32,125 12 ,001 4
5 Generating Classb Ager3*happy2*degree2*urbrural, Ager3*happy2*v24rr*urbrural, Ager3*degree2*v24rr, happy2*degree2*v24rr 40,696 42 ,528  
Deleted Effect 1 Ager3*happy2*degree2*urbrural 9,063 4 ,060 5
2 Ager3*happy2*v24rr*urbrural 26,203 12 ,010 4
3 Ager3*degree2*v24rr 4,511 6 ,608 4
4 happy2*degree2*v24rr 4,834 3 ,184 4
6 Generating Classb Ager3*happy2*degree2*urbrural, Ager3*happy2*v24rr*urbrural, happy2*degree2*v24rr 45,207 48 ,588  
Deleted Effect 1 Ager3*happy2*degree2*urbrural 9,522 4 ,049 5
2 Ager3*happy2*v24rr*urbrural 26,597 12 ,009 4
3 happy2*degree2*v24rr 6,458 3 ,091 4
7 Generating Classb Ager3*happy2*degree2*urbrural, Ager3*happy2*v24rr*urbrural, degree2*v24rr 51,665 51 ,448  
Deleted Effect 1 Ager3*happy2*degree2*urbrural 9,659 4 ,047 5
2 Ager3*happy2*v24rr*urbrural 26,407 12 ,009 4
3 degree2*v24rr 3,770 3 ,287 2
8 Generating Classb Ager3*happy2*degree2*urbrural, Ager3*happy2*v24rr*urbrural 55,435 54 ,420  
Deleted Effect 1 Ager3*happy2*degree2*urbrural 9,537 4 ,049 5
2 Ager3*happy2*v24rr*urbrural 26,184 12 ,010 3
9 Generating Classb Ager3*happy2*v24rr*urbrural, Ager3*happy2*degree2, Ager3*degree2*urbrural, happy2*degree2*urbrural 64,972 58 ,247  
Deleted Effect 1 Ager3*happy2*v24rr*urbrural 26,184 12 ,010 5
2 Ager3*happy2*degree2 12,181 2 ,002 3
3 Ager3*degree2*urbrural 6,737 4 ,150 5
4 happy2*degree2*urbrural 1,053 2 ,591 4
10 Generating Classb Ager3*happy2*v24rr*urbrural, Ager3*happy2*degree2, Ager3*degree2*urbrural 66,026 60 ,277  
a. At each step, the effect with the largest significance level for the Likelihood Ratio Change is deleted, provided the significance level is larger than .010.
b. Statistics are displayed for the best model at each step after step 0.
c. For 'Deleted Effect', this is the change in the Chi-Square after the effect is deleted from the model.

Convergence Informationa
Generating Class Ager3*happy2*v24rr*urbrural, Ager3*happy2*degree2, Ager3*degree2*urbrural
Number of Iterations ,000
Max. Difference between Observed and Fitted Marginals ,000
Convergence Criterion ,250
a. Statistics for the final model after Backward Elimination.

Goodness-of-Fit Tests
  Chi-Square df Sig.
Likelihood Ratio 66,026 60 ,277
Pearson 61,658 60 ,417


TITLE 'manuális + automata  modellkeresés, p=0.05 azután p=0.01'
.

manuális + automata  modellkeresés, p=0.05 azután p=0.01

hiloglinear
ager3 (1 3) happy2(1 2) degree2(1 2) v24rr(0 3) urbrural(1 3)
/METHOD=BACKWARD
/CRITERIA P(.01)
/PRINT none
/DESIGN
Ager3*happy2*degree2*urbrural,
Ager3*happy2*v24rr*urbrural
.


Hierarchical Loglinear Analysis


Notes
Output Created 2010-11-10T19:31:05.859
Comments
Input Data d:\eee\konting\spss\socnet2001.sav
File Label NSDstat generated file
Filter <none>
Weight weight
Split File <none>
N of Rows in Working Data File 1524
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 hiloglinear
ager3 (1 3) happy2(1 2) degree2(1 2) v24rr(0 3) urbrural(1 3)
/METHOD=BACKWARD
/CRITERIA P(.01)
/PRINT none
/DESIGN
Ager3*happy2*degree2*urbrural,
Ager3*happy2*v24rr*urbrural
.
Resources Processor Time 0:00:00.547
Elapsed Time 0:00:00.281


d:\eee\konting\spss\socnet2001.sav
Data Information
  N
Cases Valid 1404
Out of Rangea 0
Missing 120
Weighted Valid 1410
Categories Ager3 3
happy2 2
degree2 2
v24rr 4
urbrural 3
a. Cases rejected because of out of range factor values.


Design 1



Backward Elimination Statistics


Step Summary
Stepa Effects Chi-Squarec df Sig. Number of Iterations
0 Generating Classb Ager3*happy2*degree2*urbrural, Ager3*happy2*v24rr*urbrural 55,435 54 ,420  
Deleted Effect 1 Ager3*happy2*degree2*urbrural 9,537 4 ,049 5
2 Ager3*happy2*v24rr*urbrural 26,184 12 ,010 3
1 Generating Classb Ager3*happy2*v24rr*urbrural, Ager3*happy2*degree2, Ager3*degree2*urbrural, happy2*degree2*urbrural 64,972 58 ,247  
Deleted Effect 1 Ager3*happy2*v24rr*urbrural 26,184 12 ,010 5
2 Ager3*happy2*degree2 12,181 2 ,002 3
3 Ager3*degree2*urbrural 6,737 4 ,150 5
4 happy2*degree2*urbrural 1,053 2 ,591 4
2 Generating Classb Ager3*happy2*v24rr*urbrural, Ager3*happy2*degree2, Ager3*degree2*urbrural 66,026 60 ,277  
Deleted Effect 1 Ager3*happy2*v24rr*urbrural 26,184 12 ,010 5
2 Ager3*happy2*degree2 11,294 2 ,004 4
3 Ager3*degree2*urbrural 7,013 4 ,135 4
3 Generating Classb Ager3*happy2*v24rr*urbrural, Ager3*happy2*degree2, degree2*urbrural 73,039 64 ,205  
Deleted Effect 1 Ager3*happy2*v24rr*urbrural 26,184 12 ,010 4
2 Ager3*happy2*degree2 10,544 2 ,005 4
3 degree2*urbrural 111,462 2 ,000 2
4 Generating Classb Ager3*happy2*degree2, degree2*urbrural, Ager3*happy2*v24rr, Ager3*happy2*urbrural, Ager3*v24rr*urbrural, happy2*v24rr*urbrural 99,223 76 ,038  
Deleted Effect 1 Ager3*happy2*degree2 10,544 2 ,005 5
2 degree2*urbrural 111,463 2 ,000 3
3 Ager3*happy2*v24rr 7,584 6 ,270 4
4 Ager3*happy2*urbrural 10,811 4 ,029 4
5 Ager3*v24rr*urbrural 11,773 12 ,464 4
6 happy2*v24rr*urbrural 3,491 6 ,745 4
5 Generating Classb Ager3*happy2*degree2, degree2*urbrural, Ager3*happy2*v24rr, Ager3*happy2*urbrural, Ager3*v24rr*urbrural 102,713 82 ,061  
Deleted Effect 1 Ager3*happy2*degree2 10,544 2 ,005 5
2 degree2*urbrural 111,462 2 ,000 3
3 Ager3*happy2*v24rr 7,764 6 ,256 4
4 Ager3*happy2*urbrural 11,032 4 ,026 4
5 Ager3*v24rr*urbrural 11,575 12 ,480 4
6 Generating Classb Ager3*happy2*degree2, degree2*urbrural, Ager3*happy2*v24rr, Ager3*happy2*urbrural, v24rr*urbrural 114,288 94 ,076  
Deleted Effect 1 Ager3*happy2*degree2 10,544 2 ,005 5
2 degree2*urbrural 111,462 2 ,000 4
3 Ager3*happy2*v24rr 7,657 6 ,264 4
4 Ager3*happy2*urbrural 10,402 4 ,034 4
5 v24rr*urbrural 39,403 6 ,000 4
7 Generating Classb Ager3*happy2*degree2, degree2*urbrural, Ager3*happy2*urbrural, v24rr*urbrural, Ager3*v24rr, happy2*v24rr 121,945 100 ,067  
Deleted Effect 1 Ager3*happy2*degree2 10,544 2 ,005 5
2 degree2*urbrural 111,462 2 ,000 3
3 Ager3*happy2*urbrural 11,832 4 ,019 4
4 v24rr*urbrural 40,591 6 ,000 4
5 Ager3*v24rr 6,451 6 ,375 4
6 happy2*v24rr 4,392 3 ,222 4
8 Generating Classb Ager3*happy2*degree2, degree2*urbrural, Ager3*happy2*urbrural, v24rr*urbrural, happy2*v24rr 128,396 106 ,069  
Deleted Effect 1 Ager3*happy2*degree2 10,544 2 ,005 5
2 degree2*urbrural 111,462 2 ,000 3
3 Ager3*happy2*urbrural 11,878 4 ,018 4
4 v24rr*urbrural 39,490 6 ,000 4
5 happy2*v24rr 5,188 3 ,159 4
9 Generating Classb Ager3*happy2*degree2, degree2*urbrural, Ager3*happy2*urbrural, v24rr*urbrural 133,584 109 ,055  
Deleted Effect 1 Ager3*happy2*degree2 10,544 2 ,005 5
2 degree2*urbrural 111,462 2 ,000 2
3 Ager3*happy2*urbrural 11,878 4 ,018 4
4 v24rr*urbrural 40,252 6 ,000 4
10 Generating Classb Ager3*happy2*degree2, degree2*urbrural, v24rr*urbrural, Ager3*urbrural, happy2*urbrural 145,461 113 ,021  
a. At each step, the effect with the largest significance level for the Likelihood Ratio Change is deleted, provided the significance level is larger than .010.
b. Statistics are displayed for the best model at each step after step 0.
c. For 'Deleted Effect', this is the change in the Chi-Square after the effect is deleted from the model.

Convergence Informationa
Generating Class Ager3*happy2*degree2, degree2*urbrural, v24rr*urbrural, Ager3*urbrural, happy2*urbrural
Number of Iterations ,000
Max. Difference between Observed and Fitted Marginals ,000
Convergence Criterion ,250
a. Statistics for the final model after Backward Elimination.

Goodness-of-Fit Tests
  Chi-Square df Sig. Adjusted
dfa Sig.
Likelihood Ratio 145,461 113 ,021 108 ,009
Pearson 159,322 113 ,003 108 ,001
a. One degree of freedom is subtracted for each cell with an expected value of zero. The unadjusted df is an upper bound on the true df, while the adjusted df may be an underestimate.