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논문 기본 정보

자료유형
학술저널
저자정보
저널정보
한국자치행정학회 한국자치행정학보 한국자치행정학보 제30권 제2호
발행연도
2016.1
수록면
139 - 155 (17page)

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Our model explored how the U.S. presidential candidates’ popularity rates as observational units can be differently explained by citizens’ economic voting and money sources depending on the parties as an experimental unit. The partial effects of these variables were investigated by controlling for individual contributions, super PAC’s donations, consumer sentiment and the levels of ideology from parties. Because of the bipartisan system, it was inevitable to examine the factors in terms of a multi-level approach based on nested structure. This is a methodological study to show how hierarchical linear modeling (HLM) is used with the nested data in the U.S. presidential candidates with party membership. Based on the analysis of the fixed-effect model, individual contributions as a level-1 predictor had the most significant effect on candidates’ popularity rates. Subsequently, the random slope of individual contribution had a different magnitude of effect on the popularity rates depending on the candidates’ party affiliation. Nevertheless, the cross-level interaction between level-1 and level-2 variables did not exist. For a methodological suggestion, the authors took note that stratifying variables at multi-levels is more accurate in analysis than the use of ordinary least squares (OLS) because an HLM analysis can prevent the overestimation of the statistical significances.

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