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.
********** genlog elemzés (logit)
GENLOG happy2 BY Ager3 degree2 urbrural v24rr WITH h_rinc
  /MODEL=MULTINOMIAL
  /PRINT= DEV
  /PLOT = NONE
  /DESIGN happy2
happy2*degree2*v24rr
happy2*Ager3*urbrural*h_rinc
.
Data Information
  N
Cases Valid 1225
Missing 299
Weighted Valid 1212,56015
Cells Defined Cells 144
Structural Zeros 0
Sampling Zeros 15
Categories happy2 2
Ager3 3
degree2 2
urbrural 3
v24rr 4

Goodness-of-Fit Testsa,b
  Value df Sig.
Likelihood Ratio 54,719 46 ,177
Pearson Chi-Square 50,215 46 ,310
a. Model: Multinomial Logit
b. Design: Constant + happy2 + happy2 * degree2 * v24rr + happy2 * Ager3 * urbrural * h_rinc

Cell Counts and Residualsa,b
Ager3 degree2 urbrural v24rr happy2 Deviance
15-34 1 Urban,RP:total urban 0 1 2,428
2 ,000
1 1 -1,796
2 2,528
2 1 1,564
2 ,000
3 1 1,894
2 ,000
Suburb,city,town,county seat 0 1 -1,448
2 1,547
1 1 1,260
2 -1,092
2 1 ,343
2 -,338
3 1 1,846
2 -1,528
Rural,RP:total rural,RUS:Country village 0 1 -1,872
2 2,057
1 1 1,661
2 -1,436
2 1 ,643
2 ,000
3 1 -,624
2 ,650
2 Urban,RP:total urban 0 1 ,483
2 -,479
1 1 -1,418
2 1,999
2 1 -1,111
2 1,401
3 1 1,210
2 -1,032
Suburb,city,town,county seat 0 1 -,731
2 ,752
1 1 ,842
2 ,000
2 1 -1,250
2 1,387
3 1 -,320
2 ,323
Rural,RP:total rural,RUS:Country village 0 1 ,627
2 ,000
1 1 ,366
2 ,000
2 1 ,699
2 ,000
3 1 ,517
2 ,000
35-54 1 Urban,RP:total urban 0 1 -1,679
2 1,853
1 1 ,000
2 1,664
2 1 -,911
2 1,333
3 1 ,963
2 ,000
Suburb,city,town,county seat 0 1 1,767
2 -1,700
1 1 ,775
2 -,760
2 1 ,674
2 -,660
3 1 -,686
2 ,699
Rural,RP:total rural,RUS:Country village 0 1 2,690
2 -2,472
1 1 ,958
2 -,933
2 1 1,765
2 -1,562
3 1 -2,629
2 3,089
2 Urban,RP:total urban 0 1 1,744
2 -1,526
1 1 -1,367
2 1,676
2 1 ,967
2 -,857
3 1 ,574
2 -,556
Suburb,city,town,county seat 0 1 -1,016
2 1,031
1 1 ,730
2 -,713
2 1 -,596
2 ,609
3 1 -1,122
2 1,160
Rural,RP:total rural,RUS:Country village 0 1 -2,265
2 2,710
1 1 ,643
2 ,000
2 1 ,899
2 -,789
3 1 ,908
2 -,866
55-101 1 Urban,RP:total urban 0 1 -2,637
2 2,986
1 1 1,305
2 ,000
2 1 -1,335
2 2,091
3 1 1,352
2 -1,044
Suburb,city,town,county seat 0 1 -1,271
2 1,291
1 1 1,656
2 -1,563
2 1 -,864
2 ,888
3 1 -1,851
2 2,020
Rural,RP:total rural,RUS:Country village 0 1 1,753
2 -1,708
1 1 -1,691
2 1,833
2 1 -,971
2 ,992
3 1 1,910
2 -1,790
2 Urban,RP:total urban 0 1 ,994
2 -,972
1 1 2,035
2 -1,147
2 1 ,456
2 -,443
3 1 ,884
2 -,813
Suburb,city,town,county seat 0 1 1,371
2 -1,272
1 1 ,654
2 -,615
2 1 ,811
2 -,737
3 1 ,015
2 ,000
Rural,RP:total rural,RUS:Country village 0 1 ,875
2 -,744
1 1 -,907
2 1,322
2 1 ,712
2 ,000
3 1 -1,322
2 1,743
a. Model: Multinomial Logit
b. Design: Constant + happy2 + happy2 * degree2 * v24rr + happy2 * Ager3 * urbrural * h_rinc


GENLOG happy2 BY Ager3 degree2 urbrural v24rr WITH h_rinc
  /MODEL=MULTINOMIAL
  /PRINT= DEV
  /PLOT = NONE
  /DESIGN happy2
happy2*degree2
happy2*v24rr
happy2*Ager3*urbrural*h_rinc
.
Goodness-of-Fit Testsa,b
  Value df Sig.
Likelihood Ratio 62,619 49 ,091
Pearson Chi-Square 55,800 49 ,234
a. Model: Multinomial Logit
b. Design: Constant + happy2 + happy2 * degree2 + happy2 * v24rr + happy2 * Ager3 * urbrural * h_rinc

Cell Counts and Residualsa,b
Ager3 degree2 urbrural v24rr happy2 Deviance
15-34 1 Urban,RP:total urban 0 1 2,368
2 ,000
1 1 -1,885
2 2,778
2 1 1,629
2 ,000
3 1 1,988
2 ,000
Suburb,city,town,county seat 0 1 -1,414
2 1,505
1 1 1,042
2 -,939
2 1 ,706
2 -,669
3 1 2,187
2 -1,715
Rural,RP:total rural,RUS:Country village 0 1 -1,827
2 1,997
1 1 1,612
2 -1,403
2 1 ,612
2 ,000
3 1 -,550
2 ,568
2 Urban,RP:total urban 0 1 1,194
2 -1,137
1 1 -1,113
2 1,317
2 1 -1,259
2 1,761
3 1 1,027
2 -,911
Suburb,city,town,county seat 0 1 -,664
2 ,680
1 1 1,329
2 ,000
2 1 -1,552
2 1,851
3 1 -,819
2 ,880
Rural,RP:total rural,RUS:Country village 0 1 ,607
2 ,000
1 1 ,503
2 ,000
2 1 ,518
2 ,000
3 1 ,419
2 ,000
35-54 1 Urban,RP:total urban 0 1 -1,702
2 1,884
1 1 ,000
2 1,524
2 1 -,837
2 1,120
3 1 ,839
2 ,000
Suburb,city,town,county seat 0 1 1,448
2 -1,410
1 1 -1,172
2 1,228
2 1 1,666
2 -1,486
3 1 ,869
2 -,846
Rural,RP:total rural,RUS:Country village 0 1 2,762
2 -2,528
1 1 -,763
2 ,776
2 1 2,028
2 -1,739
3 1 -2,360
2 2,672
2 Urban,RP:total urban 0 1 2,053
2 -1,726
1 1 -1,197
2 1,381
2 1 ,764
2 -,706
3 1 -,826
2 ,893
Suburb,city,town,county seat 0 1 -,550
2 ,552
1 1 1,822
2 -1,599
2 1 -1,432
2 1,661
3 1 -2,097
2 2,397
Rural,RP:total rural,RUS:Country village 0 1 -2,091
2 2,421
1 1 ,942
2 ,000
2 1 ,211
2 -,210
3 1 -,575
2 ,587
55-101 1 Urban,RP:total urban 0 1 -2,871
2 3,340
1 1 1,506
2 ,000
2 1 -1,277
2 1,899
3 1 1,376
2 -1,055
Suburb,city,town,county seat 0 1 -1,724
2 1,774
1 1 ,398
2 -,396
2 1 -,184
2 ,184
3 1 -1,521
2 1,610
Rural,RP:total rural,RUS:Country village 0 1 1,531
2 -1,501
1 1 -2,070
2 2,352
2 1 ,120
2 -,120
3 1 2,343
2 -2,133
2 Urban,RP:total urban 0 1 ,930
2 -,912
1 1 2,435
2 -1,218
2 1 -,216
2 ,217
3 1 ,865
2 -,798
Suburb,city,town,county seat 0 1 1,597
2 -1,447
1 1 1,579
2 -1,208
2 1 -,390
2 ,400
3 1 ,014
2 ,000
Rural,RP:total rural,RUS:Country village 0 1 ,878
2 -,746
1 1 -,725
2 ,880
2 1 ,523
2 ,000
3 1 -1,443
2 2,081
a. Model: Multinomial Logit
b. Design: Constant + happy2 + happy2 * degree2 + happy2 * v24rr + happy2 * Ager3 * urbrural * h_rinc


GENLOG happy2 BY Ager3 degree2 urbrural v24rr WITH h_rinc
  /MODEL=MULTINOMIAL
  /PRINT= DEV
  /PLOT = NONE
  /DESIGN happy2
happy2*degree2*v24rr
happy2*Ager3*h_rinc
happy2*urbrural*h_rinc
.
Goodness-of-Fit Testsa,b
  Value df Sig.
Likelihood Ratio 75,771 54 ,027
Pearson Chi-Square 69,637 54 ,075
a. Model: Multinomial Logit
b. Design: Constant + happy2 + happy2 * degree2 * v24rr + happy2 * Ager3 * h_rinc + happy2 * urbrural * h_rinc

Cell Counts and Residualsa,b
Ager3 degree2 urbrural v24rr happy2 Deviance
15-34 1 Urban,RP:total urban 0 1 2,108
2 ,000
1 1 -1,927
2 2,908
2 1 1,293
2 ,000
3 1 1,484
2 ,000
Suburb,city,town,county seat 0 1 -1,114
2 1,156
1 1 1,804
2 -1,405
2 1 ,511
2 -,497
3 1 2,059
2 -1,648
Rural,RP:total rural,RUS:Country village 0 1 -1,636
2 1,753
1 1 1,314
2 -1,193
2 1 1,507
2 ,000
3 1 1,543
2 -1,290
2 Urban,RP:total urban 0 1 -1,081
2 1,132
1 1 -1,404
2 1,956
2 1 -1,266
2 1,780
3 1 1,272
2 -1,071
Suburb,city,town,county seat 0 1 -,446
2 ,450
1 1 1,112
2 ,000
2 1 -1,123
2 1,218
3 1 ,690
2 -,662
Rural,RP:total rural,RUS:Country village 0 1 1,084
2 ,000
1 1 ,812
2 ,000
2 1 ,817
2 ,000
3 1 ,674
2 ,000
35-54 1 Urban,RP:total urban 0 1 ,435
2 -,432
1 1 ,000
2 1,456
2 1 -,892
2 1,271
3 1 ,884
2 ,000
Suburb,city,town,county seat 0 1 ,723
2 -,718
1 1 ,746
2 -,733
2 1 1,762
2 -1,553
3 1 -,692
2 ,705
Rural,RP:total rural,RUS:Country village 0 1 2,761
2 -2,527
1 1 1,215
2 -1,165
2 1 ,214
2 -,213
3 1 -2,899
2 3,569
2 Urban,RP:total urban 0 1 2,953
2 -2,196
1 1 -,939
2 1,018
2 1 1,400
2 -1,124
3 1 1,615
2 -1,320
Suburb,city,town,county seat 0 1 -2,143
2 2,294
1 1 -1,437
2 1,605
2 1 -1,356
2 1,545
3 1 -1,757
2 1,920
Rural,RP:total rural,RUS:Country village 0 1 -2,446
2 3,050
1 1 ,568
2 ,000
2 1 -,771
2 ,889
3 1 ,751
2 -,727
55-101 1 Urban,RP:total urban 0 1 -3,101
2 3,719
1 1 1,120
2 ,000
2 1 -1,422
2 2,454
3 1 1,149
2 -,939
Suburb,city,town,county seat 0 1 -2,086
2 2,177
1 1 ,326
2 -,325
2 1 ,974
2 -,943
3 1 -1,503
2 1,589
Rural,RP:total rural,RUS:Country village 0 1 2,874
2 -2,691
1 1 -,316
2 ,317
2 1 -1,632
2 1,741
3 1 1,435
2 -1,381
2 Urban,RP:total urban 0 1 -1,482
2 1,563
1 1 2,229
2 -1,184
2 1 -1,044
2 1,266
3 1 -,587
2 ,613
Suburb,city,town,county seat 0 1 2,478
2 -2,024
1 1 ,629
2 -,594
2 1 2,335
2 -1,485
3 1 ,982
2 ,000
Rural,RP:total rural,RUS:Country village 0 1 ,123
2 -,123
1 1 -,798
2 1,028
2 1 ,380
2 ,000
3 1 -1,447
2 2,095
a. Model: Multinomial Logit
b. Design: Constant + happy2 + happy2 * degree2 * v24rr + happy2 * Ager3 * h_rinc + happy2 * urbrural * h_rinc