Overview
Title: Data Analysis Plan & Expected Contributions
(Prepares them for actual paper submission)
Objective
To prepare students for execution and academic contribution.
Task Requirements
1. Data Analysis Plan
- Data screening steps
- Reliability testing (Cronbach Alpha)
- Validity (CFA / AVE)
- Hypothesis testing method (Regression / SEM / PLS-SEM)
2. Ethical Considerations
- Consent
- Confidentiality
- Data handling
3. Expected Results
- What relationships do you expect?
- Why?
4. Theoretical Contributions
- Which theory are you extending?
5. Managerial Implications
- How will managers benefit?
Suggested Reading
- Hair et al. (2019). PLS-SEM Primer
- Cohen et al. (2018). Research Methods in Education
Marks Distribution
Component | Marks |
Data analysis plan clarity | 3 |
Ethical considerations | 2 |
Expected results logic | 2 |
Theoretical contribution | 2 |
Managerial relevance | 1 |