grad-case-study

Compare original and translation side by side

🇺🇸

Original

English
🇨🇳

Translation

Chinese

Case Study Research (Yin)

Yin案例研究法

Overview

概述

Case study research is an empirical inquiry that investigates a contemporary phenomenon in depth and within its real-life context, especially when the boundaries between phenomenon and context are not clearly evident. Yin's framework provides systematic design choices — single vs. multiple cases, holistic vs. embedded analysis — and emphasizes triangulation to strengthen construct validity.
案例研究是一种实证研究方法,用于深入探究真实场景中的当代现象,尤其适用于现象与场景边界不清晰的情况。Yin的研究框架提供了系统化的设计选项——单案例vs多案例、整体式vs嵌入式分析,并强调通过三角验证法提升建构效度。

When to Use

适用场景

  • Research questions are "how" or "why" questions about contemporary events
  • The researcher has little or no control over behavioral events
  • Contextual conditions are highly pertinent to the phenomenon of study
  • Boundaries between phenomenon and context are blurred
  • 研究问题为关于当代事件的“如何”或“为什么”类问题
  • 研究者对行为事件几乎没有控制权
  • 场景条件与研究现象高度相关
  • 现象与场景的边界模糊

When NOT to Use

不适用场景

  • When frequency or incidence data is needed (use survey or experiment)
  • When context is irrelevant and can be controlled (use experiment)
  • When the goal is statistical generalization to a population
  • 需要获取频率或发生率数据时(应使用调查或实验法)
  • 场景无关且可被控制时(应使用实验法)
  • 研究目标是对总体进行统计推广时

Assumptions

核心假设

IRON LAW: Case study answers HOW and WHY questions in context — if you
need frequency or incidence data, use a survey or experiment instead.
Applying case study to "how many" or "how much" questions misuses the
methodology.
Key assumptions:
  1. The case is a bounded system — define temporal, spatial, and conceptual boundaries
  2. Multiple sources of evidence are essential for construct validity
  3. Multiple cases follow replication logic (not sampling logic) — each case is an experiment, not a survey respondent
  4. A case study protocol and database enhance reliability
铁则:案例研究用于在场景中回答“如何”和“为什么”类问题——若你需要频率或发生率数据,请改用调查或实验法。将案例研究用于“有多少”或“多少量”类问题属于方法误用。
核心假设:
  1. 案例是一个有界系统——需明确时间、空间和概念边界
  2. 多来源证据对提升建构效度至关重要
  3. 多案例遵循复制逻辑(而非抽样逻辑)——每个案例都是一次实验,而非调查受访者
  4. 案例研究方案和数据库可提升研究可靠性

Methodology

研究步骤

Step 1: Design the Case Study

步骤1:设计案例研究

Define the research question (how/why). Select the case type using Yin's 2x2 matrix:
Single CaseMultiple Case
Holistic (single unit)Critical, unique, or revelatory caseLiteral or theoretical replication
Embedded (multiple units)Multiple units within one caseMultiple units across cases
Develop propositions to guide data collection.
明确研究问题(如何/为什么)。使用Yin的2x2矩阵选择案例类型:
单案例多案例
整体式(单一分析单元)关键、独特或具有揭示性的案例字面复制或理论复制
嵌入式(多个分析单元)单个案例包含多个分析单元多个案例各包含多个分析单元
提出研究命题以指导数据收集。

Step 2: Collect Evidence from Multiple Sources

步骤2:收集多来源证据

Gather data from at least three of six source types: documents, archival records, interviews, direct observation, participant observation, physical artifacts. Maintain a chain of evidence linking questions to data to conclusions.
从以下6类数据源中至少选择3类收集数据:文档、档案记录、访谈、直接观察、参与式观察、实物证据。建立从研究问题到数据再到结论的证据链。

Step 3: Apply Triangulation

步骤3:应用三角验证法

Triangulation TypeDescription
DataMultiple data sources converge on the same finding
InvestigatorMultiple researchers independently analyze the same data
TheoryMultiple theoretical perspectives applied to the same data
MethodologicalMultiple methods (qual + quant) address the same question
三角验证类型说明
数据三角验证多数据源指向同一结论
研究者三角验证多名研究者独立分析同一数据
理论三角验证对同一数据应用多种理论视角
方法三角验证结合定性与定量等多种方法解决同一问题

Step 4: Analyze and Report

步骤4:分析与报告

Use pattern matching, explanation building, time-series analysis, or cross-case synthesis. Report the chain of evidence transparently.
使用模式匹配、解释构建、时间序列分析或跨案例综合法进行分析。透明呈现证据链。

Output Format

输出格式

markdown
undefined
markdown
undefined

Case Study Analysis: [Context]

案例研究分析:[研究场景]

Research Question

研究问题

  • Question: [the how/why question]
  • Case type: [single/multiple] x [holistic/embedded]
  • Unit of analysis: [what constitutes the "case"]
  • 问题:[“如何/为什么”类研究问题]
  • 案例类型:[单案例/多案例] x [整体式/嵌入式]
  • 分析单元:[案例的定义范围]

Case Selection Rationale

案例选择理由

CaseRationaleExpected Pattern
[name][why selected][literal/theoretical replication]
案例选择理由预期复制类型
[案例名称][选择的原因][字面复制/理论复制]

Evidence Matrix

证据矩阵

Source TypeData CollectedKey Findings
[documents/interviews/etc.][description][finding]
数据源类型收集的数据关键发现
[文档/访谈等][数据描述][核心发现]

Triangulation Results

三角验证结果

  • Convergent findings: [where sources agree]
  • Divergent findings: [where sources disagree]
  • Explanation: [how divergence is resolved]
  • 共识发现:[多数据源达成一致的内容]
  • 分歧发现:[多数据源存在分歧的内容]
  • 分歧解释:[分歧的解决方式]

Pattern Matching

模式匹配

  • Predicted pattern: [from propositions]
  • Observed pattern: [from evidence]
  • Match assessment: [strong/moderate/weak]
  • 预测模式:[基于研究命题的预期模式]
  • 观察模式:[基于证据的实际观察模式]
  • 匹配程度:[强匹配/中等匹配/弱匹配]

Conclusions

结论

  1. [Key finding with chain of evidence]
  2. [Analytical generalization — how findings extend theory]
undefined
  1. [带证据链的关键发现]
  2. [分析式推广——研究发现如何拓展现有理论]
undefined

Gotchas

注意事项

  • Case studies generalize to THEORY (analytical generalization), not to populations (statistical generalization)
  • A single-case design requires explicit justification: critical, extreme, unique, revelatory, or longitudinal
  • Replication logic in multiple cases means each case must independently confirm or disconfirm a proposition
  • The chain of evidence must be traceable from question to protocol to database to report
  • Do NOT confuse case study with case history or case report — Yin's case study is a research strategy with formal design
  • Rival explanations must be addressed explicitly, not just dismissed
  • 案例研究的推广是理论推广(分析式推广),而非对总体的统计推广
  • 单案例设计需明确的正当理由:关键案例、极端案例、独特案例、揭示性案例或纵向案例
  • 多案例的复制逻辑意味着每个案例需独立验证或推翻研究命题
  • 证据链必须可追溯,从研究问题到研究方案,再到数据库,最后到研究报告
  • 请勿将案例研究与案例史或案例报告混淆——Yin的案例研究是一种具备正式设计的研究策略
  • 需明确回应对立解释,而非仅简单否定

References

参考文献

  • Yin, R. K. (2018). Case Study Research and Applications: Design and Methods (6th ed.). Sage.
  • Stake, R. E. (1995). The Art of Case Study Research. Sage.
  • Eisenhardt, K. M. (1989). Building theories from case study research. Academy of Management Review, 14(4), 532-550.
  • Yin, R. K. (2018). Case Study Research and Applications: Design and Methods (6th ed.). Sage.
  • Stake, R. E. (1995). The Art of Case Study Research. Sage.
  • Eisenhardt, K. M. (1989). Building theories from case study research. Academy of Management Review, 14(4), 532-550.