定量宏观比较研究的方法

English | ISBN: 141297495X | 2013 | 296 pages | EPUB, PDF | 7.14 MB

Will a one-child policy increase economic growth? Does globalization contribute to global warming? Are unequal societies less healthy than more egalitarian societies?

To answer questions like these, social scientists turn to quantitative macro-comparative research (QMCR). Although many social scientists understand statistics conceptually, they struggle with the mathematical skills required to conduct QMCR. In Methods for Quantitative Macro-Comparative Research, author Salvatore J. Babones offers a means to bridge that gap, interpreting the advanced statistics used in QMCR in terms of verbal descriptions that any college graduate with a basic background in statistics can follow. He addresses both the philosophical foundations and day-to-day practice of QMCR in an effort to improve research outcomes and ensure policy relevance.

A comprehensive guide to QMCR, the book presents an overview of the questions that can be answered using QMCR, details the steps of the research process, and concludes with important guidelines and best-practices for conducting QMCR. The book assumes that the reader has a sound grasp of the fundamentals of linear regression modeling, but no advanced mathematical knowledge is required in order for researchers and students to read, understand, and enjoy the book. A conversational discussion style supplemented by 75 tables and figures makes the book′s methodological arguments accessible to both students and professionals. Extensive citations refer readers back to primary discussions in the literature, and a comprehensive index provides easy access to coverage of specific techniques.

"This should be required reading for World Bank, OECD and U.N. researchers and data collectors as well as applied and academic sociologists, economists, political scientists and others who conduct cross country comparisons using publicly available large datasets.

―Ernesto Castañeda, University of Texas at El Paso

"I really don’t know how the author has managed it, but he covers complex material in an incredibly clear way…I think students who have a weaker background in statistics will learn a lot from the text and students with an advanced background in statistics will look at their analyses in a different way (from the point of planning analyses to actually interpreting results)."

―Lesley Williams Reid, Georgia State University

这些问题，如“一胎化政策能促进经济增长吗？全球化会加剧全球变暖吗？不平等社会比更平等的社会身体状况差吗？”是社会科学家采用定量宏观比较研究（QMCR）来回答的。 为了回答这类问题，社会科学家们求助于定量宏观比较研究。虽然许多社会科学工作者都能理解统计学的概念，但他们却难以掌握进行QMCR所需的数学技能。在《量化宏观比较研究方法》一书中，作者Salvatore J. Babones提供了弥补这种差距的方法。他通过将高级的统计学知识用简单的语言描述出来，使任何具有基本统计学背景的大学毕业生都能理解这些复杂的概念。 他在书中既探讨了QMCR的哲学基础，又深入分析了日常实践中QMCR的操作方式，旨在提高研究结果的质量和政策相关性。 这本书为定量宏观比较研究提供了一个全面指南。它概述了使用QMCR可以解答的问题，详细说明了研究过程中的步骤，并以重要指导原则及最佳实践作为结语。该书假设读者已掌握线性回归建模的基础知识，但是研究人员和学生无需具备高级数学知识即可阅读、理解并享受这本书。 该书采用口语讨论的方式补充75个表格和图示，使定量方法论的论述更容易被学生和专业人士所接受。书中丰富的引用引导读者回到文献中的原始讨论，并提供了一个全面的索引，以便快速查阅特定技术的覆盖情况。 “这本书是世界银行、OECD及联合国研究人员以及使用公开大型数据集进行跨国比较的研究者与统计学家、经济学家、政治科学家和其他人士的必读书。” ——德克萨特·卡斯特纳多（El Paso大学） “我真的不知道作者是如何做到的，但他在令人难以置信地清晰地讲解复杂材料……我认为背景较弱的学生会从文本中学到很多，而背景较为深厚的学生则会从分析的角度看待他们的研究（从计划分析的方式转换为实际解释结果）。” ——莱斯莉·威廉姆斯·里德（佐治亚州立大学）

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