comparative value priorities of chinese and new zealand

With the exception of the questionable reliability of two items in those defining
Consideration, which are maintained in the analyses to provide comparability with past
studies using the LBDQXII, the answer to the question “Are there appropriate
measuring instruments to assess dimensions and structures?” for the LBDQXII is yes,
the instrument is adequate.
The Schwartz Values Survey
I now discuss the reliability and validity of the individual value dimensions of the SVS.
Schwartz used the Schwartz Values Survey to operationalise the value priorities in the
samples (Schwartz, 1992; Schwartz, 1997; Schwartz and Boehnke, 2004). The SVS
consists of 56, 57, or 58 items, depending upon version. The items’ abstract values, e.g.,
social justice, humility, creativity, social order, pleasure, ambition, are each followed in
parentheses by a phrase that further specifies their meaning. The text of the surveys is
available in Appendix 4 - Surveys. Respondents rate the importance of each “as a
guiding principle in MY life.” Respondents from cultural groups on every inhabited
continent have completed the survey anonymously in their native language (N >
75,000). This survey is intended to include all the motivationally distinct values likely
to be recognized across cultures, a claim for which there is strong but not conclusive
evidence (Schwartz, 2005a).
Schwartz believes values whose meanings differ across cultures should not be used in
cross-cultural comparisons. Otherwise, group differences might reflect the fact that
different concepts are measured in each group. Separate multidimensional scaling
analyses of the value items within each of 66 countries established that 45 of the SVS
items have reasonably equivalent meanings in each country (Schwartz, 1994a, 1999;
Fontaine, Poortinga and Delbeke, 2005).
Smallest Space Analysis Facet Approach to Theory Development in Social
Psychology
Central to Schwartz’ theory development are derived latent theoretical dimensions using
Multidimensional Scaling (MDS) Smallest Space Analysis (SSA) (Bailey, 1974). SSA
as Schwartz uses it consists of defining latent variables by visually inspecting patterns
of arrangements of survey items in Euclidian space, with the distances based upon
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