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comparative value priorities of chinese and new zealand

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the <strong>value</strong>s are largely a scale use bias <strong>and</strong> says this assertion is grounded both in theory<br />

<strong>and</strong> empirically in Schwartz’ body <strong>of</strong> publications.<br />

Schwartz’ Recommendations<br />

Schwartz (2008, draft users’ manual) states that individual differences in use <strong>of</strong> the<br />

response scale must be controlled when doing analyses. His control is by using the<br />

individual’s mean rating <strong>of</strong> all <strong>value</strong> items (MRAT) as a covariate. Schwartz, et al.,<br />

(1997) examines meanings <strong>of</strong> such scale use as an individual difference variable. Smith<br />

(2004) discusses correlates <strong>of</strong> scale use differences at the level <strong>of</strong> cultures. As noted<br />

above, Schwartz proposes that individual differences in the means <strong>of</strong> the 21 <strong>value</strong>s<br />

employed to determine dimension are largely a scale use bias, <strong>and</strong> that his assertion is<br />

grounded both in theory <strong>and</strong> empirically in his body <strong>of</strong> research, as follows.<br />

A first theoretical ground is the assumption that, across the full range <strong>of</strong> <strong>value</strong> contents,<br />

everyone views <strong>value</strong>s as approximately equally important. Some attribute more<br />

importance to one <strong>value</strong>, others to another. But, on average, <strong>value</strong>s as a whole are <strong>of</strong><br />

equal importance. This assumption is dependent on the further assumption that the <strong>value</strong><br />

instrument covers all <strong>of</strong> the major types <strong>of</strong> <strong>value</strong>s to which people attribute importance.<br />

Empirical evidence to support this assumption appears in Schwartz 1992, 2004. To the<br />

extent that individuals’ attribute the same average importance to the full set <strong>of</strong> <strong>value</strong>s,<br />

their mean score (MRAT) should be the same. Differences in individual MRATs<br />

therefore reflect scale use <strong>and</strong> not <strong>value</strong> substance. Of course, differences in MRAT<br />

may reflect some substance, but the empirical analyses suggest that substance is a much<br />

smaller component <strong>of</strong> MRAT than scale use bias is (Schwartz, et al., 1997).<br />

A second theoretical ground is that <strong>value</strong>s are <strong>of</strong> interest because they form a system <strong>of</strong><br />

<strong>priorities</strong> that guide, influence, <strong>and</strong> are influenced by thought, feeling <strong>and</strong> action. Values<br />

do not function in isolation from one another but as systems. For example, a decision to<br />

vote for one or another party is influenced by the perceived consequences <strong>of</strong> that vote<br />

for the attainment or frustration <strong>of</strong> multiple <strong>value</strong>s, promoting equality or freedom <strong>of</strong><br />

expression versus social power or tradition. It is the trade-<strong>of</strong>f amongst the relevant<br />

<strong>value</strong>s that affects the vote. Consequently, what are really <strong>of</strong> interest are the <strong>priorities</strong><br />

amongst the <strong>value</strong>s that form an individual’s <strong>value</strong> system. Correcting for scale use with<br />

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