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Uitwerkingen casus 4 - Data Analyse

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Casus 4
Opdracht 1
Onderzoek met SPSS of er een signifcant verband is tussen land en religie. Onderzoek met
dezelfde soort toets ook of er een samenhang is tussen land en item 31.
Controle: De waarde van de toetsingsgrootheid is 5570.926 bij de eerste analyse.

Om te onderzoeken of er een verband is tussen twee kwanttevevnominaneveategorisehe variabenen
(gradueen), gebruik je een Chi-Square toets.

Land en religie
Ananyze  deseriptve statstes  erosstabs  rows: nand  eonumns: renigie  exaet: asymptote
onny  eontnue  statstes: aanvinken ehi-square  eontnue  ok.

Output:
Chi-Square Tests
Asymptotic
Significance (2-
Value df sided)
Pearson Chi-Square 5570,926a 42 ,000
Likelihood Ratio 4929,986 42 ,000
Linear-by-Linear Association 758,432 1 ,000
N of Valid Cases 4004
a. 8 cells (14,3%) have expected count less than 5. The minimum expected
count is ,49.
Conclusie: Er is een signifeant verband tussen nand en renigie: χ(42) = 5570,926, p<.001.

Land en item 31
Ananyze  deseriptve statstes  erosstabs  rows: nand  eonumns: item31  exaet: asymptote
onny  eontnue  statstes: aanvinken ehi-square  eontnue  ok.

Output:
Chi-Square Tests
Asymptotic
Significance (2-
Value df sided)
Pearson Chi-Square 1001,713a 28 ,000
Likelihood Ratio 964,807 28 ,000
Linear-by-Linear Association 496,636 1 ,000
N of Valid Cases 4001
a. 0 cells (0,0%) have expected count less than 5. The minimum expected
count is 6,72.
Conclusie: Er is een signifeant verband tussen nand en item31: χ(28) = 1001,713, p<.001.



Opdracht 2
Voer met SPSS een ANOVA uit om te onderzoeken of de landen verschillen op item 31. Gebruik
dezelfde post-hoc test als in het artkel om de paarsgewijze verschillen te onderzoeken. Controle:
Je resultaten stemmen overeen met Table 2 van het artkel. Er zijn vier homogene subsets. In de
tabel met homogene subsets is de laatste p-waarde .943.
Controle: Je resultaten stemmen overeen met Table 2 van het artiel. Er zijn vier homogene subsets. In de tabel
met homogene subsets is de laatste p-waarde .943.

, Ananyze  Generan Linear Moden  Univariate  Dependent Variabne: item31 (esi31van)  Fixed
Faetor: eountry  Post Hoe: Post Hoe Tests for eountry & equan varianees assumed = Sehefe 
eontnue  Optons: Dispnay means for eountry & Dispnay deseriptve statstes en estmates of efeet
size  eontnue  ok.

Output:
Tests of Between-Subjects Effects
Dependent Variable: esi31val
Type III Sum of Partial Eta
Source Squares df Mean Square F Sig. Squared
Corrected Model 838,774a 7 119,825 131,074 ,000 ,187
Intercept 22448,683 1 22448,683 24556,176 ,000 ,860
country 838,774 7 119,825 131,074 ,000 ,187
Error 3650,307 3993 ,914
Total 36914,000 4001
Corrected Total 4489,081 4000
a. R Squared = ,187 (Adjusted R Squared = ,185)

Multiple Comparisons
Dependent Variable: esi31val
Scheffe
Mean 95% Confidence Interval
(I) Country from where (J) Country from Difference (I- Std. Lower Upper
data came where data came J) Error Sig. Bound Bound
Canada USA -,10 ,050 ,803 -,29 ,09
India ,38* ,047 ,000 ,20 ,56
Uganda -,11 ,055 ,808 -,31 ,10
Poland 1,03* ,058 ,000 ,81 1,24
Japan ,67* ,077 ,000 ,38 ,97
Slovakia ,40* ,078 ,001 ,11 ,69
Korea 1,10* ,051 ,000 ,90 1,29
USA Canada ,10 ,050 ,803 -,09 ,29
India ,48* ,053 ,000 ,28 ,67
Uganda -,01 ,060 1,000 -,23 ,22
Poland 1,13* ,062 ,000 ,89 1,36
Japan ,77* ,081 ,000 ,47 1,08
Slovakia ,50* ,082 ,000 ,19 ,81
Korea 1,19* ,056 ,000 ,98 1,41
India Canada -,38* ,047 ,000 -,56 -,20
USA -,48* ,053 ,000 -,67 -,28
Uganda -,48* ,058 ,000 -,70 -,27
Poland ,65* ,060 ,000 ,43 ,88
Japan ,30 ,079 ,051 ,00 ,59
Slovakia ,02 ,080 1,000 -,28 ,32
Korea ,72* ,054 ,000 ,52 ,92
Uganda Canada ,11 ,055 ,808 -,10 ,31
USA ,01 ,060 1,000 -,22 ,23
India ,48* ,058 ,000 ,27 ,70
Poland 1,13* ,066 ,000 ,89 1,38
Japan ,78* ,084 ,000 ,47 1,10
Slovakia ,51* ,085 ,000 ,19 ,83
Korea 1,20* ,061 ,000 ,98 1,43
Poland Canada -1,03* ,058 ,000 -1,24 -,81
USA -1,13* ,062 ,000 -1,36 -,89
India -,65* ,060 ,000 -,88 -,43
Uganda -1,13* ,066 ,000 -1,38 -,89
Japan -,35* ,086 ,017 -,68 -,03
Slovakia -,63* ,087 ,000 -,95 -,30
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