Choosing Data Analysis and Presentation Techniques
Use this Shared Activity to give and receive feedback on approaches to data analysis and presentation that you and your colleagues may use in your Management Research Project. This Shared Activity will help you complete your Individual Assignment in this unit, in which you will submit a plan for data analysis and presentation.
Topic:
"Cultural Challenges in Adopting Scrum Methodology"
The Aim Of this research:
The researcher intends to investigate five software development in Saudi Arabia to base on in-depth semi-structured interviews and reviewing some reports and documentations to seek answers. The participants will be those involved in the project development and planning given the fact that they deal directly with the customers throughout the software development and therefore they are better to understand the social and cultural issues in this matter.
My Research Questions
The following questions are what I am looking to tackle in my research:
- What are the drivers behind agile adoption and the challenges faced during adoption?
- What are organizational culture factors that correlate with the effective adoption of the Agile method and what are the challenges that inhibit adoption?
- What are the necessary cultural changes that must be carried out by practitioners and companies for a smooth transition to agile principles?
- How should Scrum Methodology be augmented to become more effective?
To complete this Shared Activity:
Post a detailed description of your chosen approachto data analysis for your research question, including the following in detail:
1. Explain how this data analysis approach will help answer your research question.
2. Discuss how this data analysis approach is appropriate for the type of data you will be collecting and how it will ensure the validity and reliability (if appropriate) of your results.
3. Identify strategies you might use to present the results of this type of data analysis.
4. Identify the challenges you foresee in interpreting and making inferences with this approach to data analysis.
5. Explain how your plan supports your research question and purpose and how it fits with your methodology and methods. Are there alternative analysis tools or strategies that you considered? If so, explain why you did not include them in your plan.
6. What challenges do you anticipate in analyzing and interpreting your data, including both practical and ethical considerations? Are there strategies that you can put in place or changes you can make in your plan to mitigate these challenges? What additional knowledge or skills will you need to acquire in order to implement your plan, and how might you acquire these?
7. Explain how you envision presenting your data:
- What presentation formats did you consider?
- How did you decide what formats to use? (Explain your reasoning.)
- How can the data presentations be designed to avoid misinterpretation?