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comparative value priorities of chinese and new zealand

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Schwartz <strong>and</strong> Boehnke (2004) point out that Schwartz’s <strong>value</strong> system typology makes<br />

no assumption as to whether <strong>value</strong> types are spaced equally in a circulant model or<br />

unequally in a quasi-circumplex model. Schwartz (1994) explains that the number <strong>of</strong><br />

items used to operationalise each <strong>value</strong> type depends on the breadth <strong>of</strong> the goal <strong>and</strong> the<br />

<strong>value</strong>s that express this goal (e.g., eight items for Universalism, but only two or three<br />

for Hedonism), which implies unequal spacing. Breadth refers to the amount <strong>of</strong> space<br />

occupied in the SSA diagram.<br />

Perrinjaquet, Furrer, Usunier, Cestre <strong>and</strong> Valette-Florence (2007) found that whilst<br />

Schwartz’ <strong>value</strong> structure seems to be validated when data are analysed through MDS<br />

SSA, the quasi-circumplex structure <strong>of</strong> human <strong>value</strong>s is not supported by confirmatory<br />

analysis approaches such as constrained confirmatory factor analysis. Based on two<br />

samples <strong>of</strong> French <strong>and</strong> Swiss respondents, confirmatory tests <strong>of</strong> the SVS do not yield<br />

the same structure as the quasi-circumplex structure, mainly due to problems <strong>of</strong><br />

construct <strong>and</strong> discriminant validity resulting from multi-collinearity between <strong>value</strong><br />

types. As I shall discuss in the analysis chapter, multi-collinearity is not necessarily a<br />

debilitating occurrence. I find similar outcomes to Perinjaquet et al. in the data from<br />

Guangzhou, China, discussed in detail in subsequent chapters.<br />

Validity <strong>of</strong> the SVS<br />

In his original theory <strong>and</strong> instrument development work Schwartz (1992, 1994, 2006a)<br />

continually considered validity issues <strong>of</strong> the SVS, with validity being goodness <strong>of</strong> fit to<br />

his Smallest Space Analysis model. In one <strong>of</strong> the few reliability studies, Schwartz <strong>and</strong><br />

Sagiv (1995) using split-half techniques demonstrated that sampling fluctuations are<br />

responsible for a substantial portion <strong>of</strong> observed structural deviations across SVS<br />

dimension scores. Studies using factor analysis to assess the SVS <strong>value</strong> structure have<br />

not addressed the question <strong>of</strong> structural variation across cultural groups. Schwartz <strong>and</strong><br />

Boehnke (2004) evaluated the overall structure that emerged across cultural groups<br />

from Schwartz’ original SSA work, using Structural Equations Analysis with <strong>new</strong><br />

samples from twenty-seven countries; fifteen <strong>of</strong> the countries were European; the list<br />

included sixteen so called “Western” after adding the USA to Europe. If we assume<br />

Brazil, Peru, <strong>and</strong> Israel to be Western countries, that raises the group to nineteen. The<br />

remaining eight were from other continents. Japan <strong>and</strong> Hong Kong were included from<br />

177

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