• Asian Journal for Public Opinion Research
• /
• v.5 no.1
• /
• pp.15-40
• /
• 2017

This paper addresses the zero-sum of soft power against the backdrop of the rise of China and the relative "decline" of America. It attempts to find out that whether the "decline" of America's soft power is caused by the rise of China's soft power, and whether China's rise could guarantee with certainty the growth of soft power. In light of the particularity of South Korea, that is, its economy relies on China and its security relies on the US, this paper chooses South Korea as the entry point for the study. Based on the Pew data from a South Korean opinion poll, this paper conducts bivariate correlation and binary logistic regression respectively, to explore the existence of zero-sum "competitions" between China's and America's soft power.

• Journal of the Korean Data and Information Science Society
• /
• v.25 no.1
• /
• pp.177-185
• /
• 2014

Under bivariate normal distribution assumptions, the interaction and quadratic terms are needed in the logistic regression model with two predictors. However, depending on the correlation coefficient and the variances of two conditional distributions, the interaction and quadratic terms may not be necessary. Although the need for these terms can be determined by comparing the two scatter plots, it is not as useful for interaction terms. We explore the structure and usefulness of the 3-D residual plot as a tool for dealing with interaction in logistic regression models. If predictors have an interaction effect, a 3-D residual plot can show the effect. This is illustrated by simulated and real data.