26.11.2012 Views

comparative value priorities of chinese and new zealand

comparative value priorities of chinese and new zealand

comparative value priorities of chinese and new zealand

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

higher-level managers tend to be younger than lower-level. These results indicate that<br />

both age <strong>and</strong> job level must be included as co-variables in analyses. Due to the<br />

truncation <strong>of</strong> the Guangzhou sample, <strong>and</strong> the situation concerning retirement noted<br />

above, the Guangzhou sample tended to be younger on average, which could influence<br />

the correlation. If these samples are representative <strong>of</strong> the populations, the likelihood <strong>of</strong><br />

managerial leaders from each area working with counterparts <strong>of</strong> similar age is high.<br />

Figure 5.31. Correlations <strong>of</strong> Age x Position.<br />

Correlation <strong>of</strong> Age <strong>and</strong> Position<br />

GZ<br />

NZ<br />

Spearman’s rho -0.179<br />

Sig (2-tailed) 0.008<br />

N 218<br />

Spearman’s rho 0.179<br />

Sig (2-tailed) 0.009<br />

N 215<br />

Education Relationships in the Samples<br />

For education level the Guangzhou sample has a higher average, due to a significantly<br />

higher percentage <strong>of</strong> subjects with Bachelor degrees. China has a larger proportion <strong>of</strong><br />

the population completing a bachelor’s degree than New Zeal<strong>and</strong>, <strong>and</strong> Chinese<br />

universities <strong>of</strong>fer only bachelor’s, master’s, <strong>and</strong> PhD degrees, as opposed to the panoply<br />

<strong>of</strong> sub-degree programmes <strong>of</strong>fered in NZ. The New Zeal<strong>and</strong> sample had a much higher<br />

percentage <strong>of</strong> subjects with post-graduate degrees. See Figure 5.32.<br />

The Pearson Chi-Square Test: Value=170.3, df=4, Sig. (2-tailed) p

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!