Empirical Methods in Management
Autumn Semester 2017, Empirical Methods in Management @D-MTEC, ETH Zurich, Prof. Dr. Wangenheim
Autumn Semester 2017, Empirical Methods in Management @D-MTEC, ETH Zurich, Prof. Dr. Wangenheim
43
5.0 (1)
Set of flashcards Details
Flashcards | 43 |
---|---|
Language | English |
Category | Micro-Economics |
Level | University |
Created / Updated | 03.01.2018 / 09.01.2024 |
Weblink |
https://card2brain.ch/box/20180103_empirical_methods_of_management
|
Embed |
<iframe src="https://card2brain.ch/box/20180103_empirical_methods_of_management/embed" width="780" height="150" scrolling="no" frameborder="0"></iframe>
|
Characteristics of lab experiment
- Environment: Artificial
- Control: High
- Reactive Error: High
- Demand Artifacts: High
- Internal Validity: High
- External Validity: Low
- Time: Short
- Number of Units: Small
- Ease of implementation: High
- Cost: Low
Characteristics of a field expirment?
- Environment: Realistic
- Control: Low
- Reactive Error: Low
- Demand Artifacts: Low
- Internal Validity: Low
- External Validity: High
- Time: Long
- Number of Units: Large
- Ease of implementation: Low
- Cost: High
When and why use comparative scales?
- When you need to detect small differences between known stimulus objects (e.g., Pepsi and Coke).
- When you want a scale that is easily understood and applied.
- When you have fewer theoretical assumptions (e.g. about what all constitutes service quality, brand image, etc.).
- When you want to reduce halo or carryover effects from one judgment to another
- When respondent should make a trade-ˇoff (e.g. importance judgments)
- When you have no need to generalize beyond the stimulus objects scaled.
- When the ordinal nature of the data is sufficient for your planned data analysis.