公平性
因果关系
认识论
隐喻
一般化
范围(计算机科学)
选择(遗传算法)
社会学
政治
社会科学
政治学
生态学
生物
哲学
计算机科学
语言学
程序设计语言
法学
人工智能
作者
James Mahoney,Gary Goertz
出处
期刊:Political Analysis
[Cambridge University Press]
日期:2006-01-01
卷期号:14 (3): 227-249
被引量:864
摘要
The quantitative and qualitative research traditions can be thought of as distinct cultures marked by different values, beliefs, and norms. In this essay, we adopt this metaphor toward the end of contrasting these research traditions across 10 areas: (1) approaches to explanation, (2) conceptions of causation, (3) multivariate explanations, (4) equifinality, (5) scope and causal generalization, (6) case selection, (7) weighting observations, (8) substantively important cases, (9) lack of fit, and (10) concepts and measurement. We suggest that an appreciation of the alternative assumptions and goals of the traditions can help scholars avoid misunderstandings and contribute to more productive “cross-cultural” communication in political science.
科研通智能强力驱动
Strongly Powered by AbleSci AI