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comparative value priorities of chinese and new zealand

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Figure 5.18. ANOVA Tests <strong>of</strong> Schwartz’ China Samples <strong>and</strong> My R<strong>and</strong>om Business<br />

Sample<br />

Sample: Bus-GZ, T- T- T- S1- S2-<br />

Partial<br />

Dimension: this SH GZ HE SH SH<br />

Eta<br />

study<br />

F Sig. Squared<br />

cConf 0.42 0.30 -0.15 0.03 -0.10 0.36 22.38 .000 .085<br />

cHedon 0.34 -0.49 -0.10 0.37 -0.26 -0.67 67.66 .000 .220<br />

cSelDir 0.30 0.51 0.78 0.63 0.63 0.41 17.20 .000 .067<br />

cPow 0.25 -0.42 -0.28 0.19 -0.61 -0.32 6.26 .000 .025<br />

cTrad 0.13 -0.95 -1.40 -1.18 -1.07 -0.99 11.13 .000 .044<br />

cUniv 0.10 0.24 0.22 -0.02 0.22 0.20 17.63 .000 .068<br />

cAch 0.01 0.60 0.80 0.46 0.66 0.52 23.56 .000 .089<br />

cBene -0.09 0.51 0.09 0.27 0.08 0.23 24.49 .000 .093<br />

cStim -0.11 -1.11 -0.90 -0.79 -0.66 -0.81 19.55 .000 .075<br />

In Figure 5.19 we see that there is some consistency in structure <strong>of</strong> <strong>value</strong>s amongst<br />

Schwartz’ theory testing samples, but that the dimension mean ranks are different from<br />

the samples <strong>of</strong> students <strong>and</strong> teachers.<br />

Figure 5.19. China Chart. SVS Centred Score Means Sorted by GZ Businesspeople<br />

Dimension Means<br />

1<br />

0.5<br />

0<br />

-0 .5<br />

-1<br />

-1 .5<br />

-2<br />

cConf cSelDir cTrad cAch cStim<br />

cHedon cPow cUniv cBene<br />

Individual Value Dimensions<br />

SVS Studies <strong>of</strong> Sample Data from Guangzhou<br />

237<br />

cSec<br />

Bus-GZ<br />

T-SH<br />

T-GZ<br />

T-HE<br />

S1-SH<br />

S2-SH<br />

Studies were described above that employed the SVS in China. Schwartz also provides<br />

sample data for teachers in Guangzhou. A comparison <strong>of</strong> results is shown in Figure<br />

5.20. Due to the lack <strong>of</strong> score st<strong>and</strong>ardisation process information in the journal articles,<br />

Hierarchical Cluster Analysis is employed for the comparison.

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