The Effect
Designing Reasearch
1.1
Research Question
Research Question : try to answer/plan to answer by research
good research Question:
- well-defined 清晰定义 (clear)
- answerable 有方法能够回答
- understandable 对他人容易理解的 (知道你在问什么)
flowchart TD
A["Research Question : try to answer/plan to answer by research"]
A --> B["well-defined 清晰定义 (clear)"]
A --> C["answerable 有方法能够回答"]
A --> D["understandable 对他人容易理解的 (知道你在问什么)"]
1.2 Empirical Research
书籍主要关于 quantitative empirical research
- (由数据驱动的实验研究)
Empirical research
Empirical research: 使用结构化观察(来自真实世界)去回答研究问题
Emprical(based on observations from the real world)
举例: 交通问题
不需要对凭空推理司机会做什么
观察司机会做什么 (例如问卷)
flowchart LR
A["不需要对凭空推理司机会做什么"]
B["观察司机会做什么 (例如问卷)"]
Quantitative empirical research
- Empirical research using quantitative measurement
- 更多的data sets
- 更少的interviews
quantitative empirical research 很难
数据
- hard to take precisely (量度)
- hard to interpret accurately(对数据的理解)
统计学
- 很难(内容 知识)
“One particularly sticky problem with quantitative empirical research is that the numbers that we observe often don’t tell us exactly what we want to know.”
data 是 raw 的,可以回答目前的状态, 无法自动回答我们的研究问题
flowchart TD
A["quantitative empirical research 很难"]
A --> B["数据"]
B --> C["hard to take precisely (量度)"]
B --> D["hard to interpret accurately"]
A --> E["统计学"]
E --> F["很难(内容 知识)"]
1.3 Why Research Needs a design
"looking at what happens when it’s not."
Bad Research Design
flowchart LR
A["Bad Research Design"] --> B["Can not answer the original questions"]
Bad Research Design -> Can not answer the original questions
透过良好设计的程序 尽量杜绝错误的发生 例如做题时候的data verfication 大幅降低careless的错误率