Table 2.
Country | Cronbach's α MRQ scale | Tucker's Phi coefficients MRQ scale | Cronbach's α KMSS scale | Tucker's Phi coefficients KMSS scale |
---|---|---|---|---|
Brazil | 0.86 | 0.99 | 0.97 | 1.00 |
Bulgaria | 0.91 | 1.00 | 0.76 | 1.00 |
Canada | 0.94 | 1.00 | 0.96 | 1.00 |
China | 0.88 | 1.00 | 0.93 | 1.00 |
Croatia | 0.89 | 1.00 | 0.96 | 1.00 |
Estonia | 0.91 | 1.00 | 0.96 | 1.00 |
Germany | 0.93 | 1.00 | 0.99 | 1.00 |
Ghana | 0.88 | 0.99 | 0.95 | 1.00 |
Greece | 0.93 | 1.00 | 0.96 | 1.00 |
Hong Kong | 0.94 | 1.00 | 0.98 | 1.00 |
Hungary | 0.92 | 1.00 | 0.98 | 1.00 |
India | 0.86 | 1.00 | 0.95 | 1.00 |
Indonesia | 0.91 | 1.00 | 0.95 | 1.00 |
Iran | 0.86 | 0.99 | 0.95 | 1.00 |
Italy | 0.83 | 1.00 | 0.92 | 1.00 |
Kazakhstan | 0.74 | 0.98 | 0.93 | 1.00 |
Kenya | 0.92 | 1.00 | 0.94 | 1.00 |
Malaysia | 0.93 | 0.99 | 0.89 | 1.00 |
Mexico | 0.91 | 1.00 | 0.97 | 1.00 |
Nigeria | 0.87 | 1.00 | 0.87 | 1.00 |
Pakistan | 0.89 | 0.99 | 0.87 | 1.00 |
Poland | 0.93 | 1.00 | 0.98 | 1.00 |
Portugal | 0.89 | 0.99 | 0.98 | 1.00 |
Romania | 0.94 | 0.98 | 0.97 | 0.92 |
Russia | 0.87 | 0.99 | 0.94 | 1.00 |
Saudi Arabia | 0.82 | 0.98 | 0.92 | 1.00 |
Slovakia | 0.92 | 1.00 | 0.95 | 1.00 |
South Korea | 0.90 | 1.00 | 0.97 | 1.00 |
Spain | 0.90 | 1.00 | 0.96 | 1.00 |
Switzerland | 0.90 | 1.00 | 0.98 | 1.00 |
Turkey | 0.93 | 1.00 | 0.97 | 1.00 |
United Kingdom | 0.91 | 1.00 | 0.94 | 1.00 |
Uganda | 0.89 | 0.99 | 0.98 | 1.00 |
Tucker's phi coefficients were analyzed by comparing factor score loadings of each country with the pooled data.