具体描述
The SAGE Handbook of Research Methods in Political Science and International Relations offers a comprehensive overview of research processes in social science — from the ideation and design of research projects, through the construction of theoretical arguments, to conceptualization, measurement, & data collection, and quantitative & qualitative empirical analysis — exposited through 65 major new contributions from leading international methodologists.
Each chapter surveys, builds upon, and extends the modern state of the art in its area. Following through its six-part organization, undergraduate and graduate students, researchers and practicing academics will be guided through the design, methods, and analysis of issues in Political Science and International Relations:
Part One: Formulating Good Research Questions & Designing Good Research Projects
Part Two: Methods of Theoretical Argumentation
Part Three: Conceptualization & Measurement
Part Four: Large-Scale Data Collection & Representation Methods
Part Five: Quantitative-Empirical Methods
Part Six: Qualitative & “Mixed” Methods
作者简介
目录信息
Preface: So You're A Grad Student Now? Maybe You Should Do This
Part I Formulating Good Research Questions and Designing Good Research Projects
1. Asking Interesting Questions
2. From Questions and Puzzles to Research Project
3. The Simple, the Trivial and the Insightful: Field Dispatches from a Formal Theorist
4. Evidence-Driven Computational Modeling
5. Taking Data Seriously in the Design of Data Science Projects
6. Designing Qualitative Research Projects: Notes on Theory Building, Case Selection and Field Research
7. Theory Building for Causal Inference: EITM Research Projects
8. EITM: Applications in Political Science and International Relations
Part II Methods of Theoretical Argumentation
9. Political Psychology, Social Psychology and Behavioral Economics
10. Institutional Theory and Method
11. Applied Game Theory: An Overview and First Thoughts on the Use of Game Theoretic Tools
12. The Spatial Voting Model
13. New Directions in Veto Bargaining: Message Legislation, Virtue Signaling, and Electoral Accountability
14. Models of Coalition Politics: Recent Developments and New Directions
15. Models of Interstate Conflict
16. Models of the Judiciary
17. Wrestling with Complexity in Computational Social Science: Theory, Estimation and Representation
18. Learning and Diffusion Models
Part III Conceptualization and Measurement
19. Conceptualization and Measurement: Basic Distinctions and Guidelines
20. Measurement Models
21. Measuring Attitudes – Multilevel Modeling with Post-Stratification (MrP)
Part IV Large-Scale Data Collection and Representation Methods
22. Web Data Collection: Potentials and Challenges
23. How to Use Social Media Data for Political Science Research
24. Spatial Data
25. Visualizing Data in Political Science
26. Text as Data: An Overview
27. Scaling Political Positions from Text: Assumptions, Methods and Pitfalls
28. Classification and Clustering
29. Sentiment Analysis and Social Media
30. Big Relational Data: Network-Analytic Measurement
Volume 2
Part V Quantitative-Empirical Methods
31. Econometric Modeling: From Measurement, Prediction, and Causal Inference to Causal-Response Estimation
32. A Principled Approach to Time Series Analysis
33. Time-Series-Cross-Section Analysis
34. Dynamic Systems of Equations
35. Duration Analysis
36. Multilevel Analysis
37. Selection Bias in Political Science and International Relations Applications
38. Dyadic Data Analysis
39. Model Specification and Spatial Interdependence
40. Instrumental Variables: From Structural Equation Models to Design-Based Causal Inference
41. Causality and Design-Based Inference
42. Statistical Matching with Time-Series Cross-Sectional Data: Magic, Malfeasance, or Something in between?
43. Differences-in-Differences: Neither Natural nor an Experiment
44. The Regression Discontinuity Design
45. Network Analysis: Theory and Testing
46. Network Modeling: Estimation, Inference, Comparison, and Selection
47. Bayesian Methods in Political Science
48. Bayesian Ideal Point Estimation
49. Bayesian Model Selection, Model Comparison, and Model Averaging
50. Bayesian Modeling and Inference: A Postmodern Perspective
51. Laboratory Experimental Methods
52. Field Experiments on the Frontier: Designing Better
53. Field Experiments, Theory, and External Validity
54. Survey Experiments and the Quest for Valid Interpretation
55. Deep Learning for Political Science
56. Machine Learning in Political Science: Supervised Learning Models
Part VI Qualitative and ‘Mixed’ Methods
57. Set Theoretic Methods
58. Mixed-Methods Designs
59. Case Study Methods: Case Selection and Case Analysis
60. Comparative Analyses of Foreign Policy
61. When Talk Isn't Cheap: Opportunities and Challenges in Interview Research
62. Focus Groups: From Qualitative Data Generation to Analysis
63. Interpretive Approaches in Political Science and International Relations
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对于希望拓展研究边界的学者而言，这本书的价值在于它对“前沿与交叉领域”的关注。它并未固守传统的宏观政治学或国际关系理论的框架，而是勇敢地深入到那些正在新兴的研究领域。例如，其中关于“大数据与计算社会科学在政治学中的应用”的章节，虽然篇幅不算最长，但其前瞻性极强。它探讨了如何利用社交媒体数据来追踪民意波动，以及在使用这些高频、非结构化数据时，如何确保样本的代表性、如何处理算法偏见等伦理和方法论难题。这部分内容让我意识到，现代政治学研究已经不再是只能在图书馆和档案室里完成的“绅士游戏”，它需要研究者具备跨学科的技能。这本书非常成功地扮演了“知识翻译者”的角色，将计算机科学和统计学的概念，用政治学研究者能够理解和接受的方式进行了转译，极大地降低了我们进入这些新兴方法论的门槛。
这本书的广度和深度令人印象深刻，它更像是一张精心绘制的学术地图，而非简单的工具箱说明书。我特别欣赏其中关于“比较研究方法”的那几章。在处理跨国政治现象时，如何平衡案例选择的科学性和解释力的有效性，一直是困扰我的难题。这本书没有提供标准答案，而是细致地剖析了亚历山大·乔治（Alexander L. George）的“理论检验式案例研究”与更侧重于“过程追踪”的定性方法之间的张力与互补。阅读这些章节时，我感觉自己被带入了一个方法论的辩论场，各个学派的代表人物的观点清晰地摆在面前，论证严密，毫不含糊。这种对方法论内在争议的坦诚展示，远比那些只宣传单一优点的教材来得更有价值。它迫使读者，也就是我们这些研究者，必须清晰地界定自己的研究目标和理论立场，从而避免在方法论上“骑墙”，最终形成自己独立而成熟的研究风格。对于那些致力于撰写高质量期刊论文的同行来说，这些关于“研究设计优化”的讨论，简直是金玉良言。
这本书的封面设计着实引人注目，那种深沉的蓝色调配合着烫金的字体，立刻就散发出一种学术的厚重感。我一开始是抱着一种既期待又有些忐忑的心情翻开它的。期待的是它能为我这个初入学术圈的新手提供一座坚实的知识桥梁，能够系统地梳理出政治学和国际关系研究领域那些看似庞杂的方法论。忐忑则是因为这类“大部头”的综合手册，往往内容过于宏大，容易流于表面，让人抓不住重点。然而，当我真正沉下心来阅读导论部分时，那种担忧便烟消云散了。作者们显然花费了大量心血来构建一个清晰的知识框架，他们没有一股脑地堆砌名词和公式，而是将复杂的研究范式，比如定量分析与定性研究的哲学基础，用一种极其精炼且富有逻辑性的方式呈现出来。特别是对于“因果推断”这个核心议题的处理，他们引入了一些非常前沿的计量经济学工具，并巧妙地结合了政治学领域的经典案例，使得那些原本枯燥的统计概念变得生动起来，真正做到了“授人以渔”，让我感觉自己仿佛有了一把开启高级研究之门的钥匙。
总而言之，这是一部极具分量的参考书，它的价值在于它提供了一个“元视角”——一种审视我们如何做研究的宏观框架。许多方法论书籍只关注“如何操作A方法”或“如何执行B技术”，但这本书的视野更宏大，它探讨的是“为什么我们选择A而不是B”的哲学基础。它成功地将本体论、认识论与具体的操作指南有机地结合在一起，形成了一个完整的思想闭环。我尤其赞赏它在处理“研究伦理”和“研究透明度”方面所花费的笔墨。在数据隐私和研究影响力日益受到关注的今天，一本优秀的方法论手册必须超越技术层面，上升到学术责任的高度。这本书在这方面做得非常出色，它不断提醒读者，优秀的研究不仅要有效，更要负责任和可复现。对于任何严肃对待自己研究工作的政治学或国际关系学者来说，这本书都将是案头常备的、能够提供持续启发的中流砥柱。
从阅读体验的角度来看，这本书的编排结构堪称典范。它不像某些手册那样，将方法论的各个分支割裂开来，而是通过一条清晰的“研究生命周期”主线将它们串联起来。从最初的“问题提出与理论构建”，到“数据收集与测量”，再到“分析与论证”，每一步都有对应的专家进行深度解读。我个人对其中关于“文本分析与话语研究”的那部分内容情有独钟。在当前的政治传播和身份政治研究热潮中，如何量化和质化地处理海量文本数据是一个关键挑战。这本书介绍的混合方法策略，尤其是在使用自然语言处理（NLP）技术辅助定性编码时，提供了一套非常务实的操作指南。它不仅介绍了软件工具的使用，更重要的是，它探讨了在使用技术辅助时，研究者如何保持对文本深层语义和语境的敏感性，避免陷入纯粹的数字迷宫。这种对技术与人文关怀的平衡把握，体现了编者对当代政治学研究前沿的深刻洞察。
前沿倒是蛮前沿的
前沿倒是蛮前沿的
前沿倒是蛮前沿的
前沿倒是蛮前沿的
前沿倒是蛮前沿的
