I require help to complete the methodology, results and discussion portion of my masters thesis. I will include the data that that I have researched as well as the rough results. Here is also a general outline for these portions.
The research methodology being used will is quantitive in nature
Chapter 3: Methodology
- Research Design: Choose between qualitative (e.g., detailed case studies), quantitative (e.g., statistical analysis of startup outcomes), or mixed methods (combining both to enhance depth and reliability).
- Data Collection Methods: If qualitative, describe plans for semi-structured interviews with founders and investors. If quantitative, outline surveys measuring key performance indicators of startups.
- Sample and Population: Define criteria such as industry focus, startup stage, and geographical location. Explain sampling techniques—random, stratified, etc.
- Data Analysis: Describe analytical methods—thematic analysis for qualitative data, regression analysis for quantitative data.
- Ethical Considerations: Discuss consent, confidentiality, and the handling of sensitive information.
Chapter 4: Results
- Presentation of Data: Organize findings logically—perhaps themed around different types of strategic influence (e.g., mentoring, networking, strategic direction).
- Analysis: Correlate findings with research questions, using statistical or thematic analysis methods to draw conclusions about the influence of business angels.
Chapter 5: Discussion
- Interpretation of Results: Link back to your theoretical framework and compare your findings with existing literature.
- Implications: Discuss the practical implications for startups and business angels, such as best practices for leveraging angel networks and expertise.
- Limitations: Critically evaluate the limitations of your methods, sample size, or any potential biases.
The data I have captured looks at startups between 2015-2020 and we look at startups who have been backed angels, accelerators, and those who bootstrapped.
Angel Backed Companies: founded between 2015-2020
-8778 (total angel backed companies excl. accelerator backed startups)
-Angel companies the following reached a Series A funding round: 2962 (33.72%)
-Those with a valuations greater than $50M: 2706 (30%)
-Those with valuations greater than $100M: 1739 (19.81%)
– Reached Unicorn status (+$1B value): 249 (2.83%)
-Recieved funding of $10M + : 3102 (35.33%)Accelerator Backed Companies: founded between 2015-2020
-24430 (total accelerator backed companies excl. Angel backed startups)
-Startups reached a Series A funding round: 2902 (11.87%)
-Valutions greater than $50M: 1777 (7.27%)
-Valuations greater than $100M: 973 (3.98%)
-Startups with Unicorn status: 63 (0.25%)
-Recieved funding of $10M+ : 2349(9.62%)Bootstrapped Companies: Founded between 2015-2020
-5292 (total bootstrapped companies)
-Reached Series A: 0
-Valuation greater than $50M: 3 (0.06%)
-Valuation greater than $100M: 3 (0.06%)
-Startups with Unicorn status: 1 (0.02%)
-Recieved funding of $10M+: 23 (0.44%)Success metrics: Should companies reach a series A funding round, it is a positive sign for future success. Anecdotal evidence suggests $10M in funding instills investor confidence. Of course Unicorn status is the ultimate sign of success in the venture capital world.
Some limitations I faced: The data did not allow me to find the averaged funding raised for each group, that would be a great metric to judge success.
If you are able to find secondary data sets ir evidence to support the findings please include.
Evidently you can see from the data provided that startups with angel inlvovement are far more likely to succeed than without, even more than those who go through accelerator programs. Data was caputured from dealroom.co
Also attached are some other research papers as well as my thesis outline and literature rreview
If you have any questions that will help to write the thesis please ask.