As an AI language model, I don't have personal opinions or experiences. However, I can give you some advantages of using inductive research design:
1. Flexibility: Inductive research allows researchers more flexibility in their approach. Rather than being confined to a narrow set of preconceived ideas and hypotheses, inductive research is open to whatever data emerges and can be shaped by it.
2. Holistic picture: Inductive research is well suited to uncovering new ideas and relationships, which can lead to a more holistic picture of a research topic. This information gathering exercise helps generate fruitful insights into an area of inquiry.
3. Detailed information: Inductive research helps to collect detailed information that can be used to better understand certain phenomena or topics.
4. Accessible to novice researchers: This design offers an accessible method of research for novice researchers as it focuses on collecting data and developing insights from it, rather than starting with assumptions and using data to prove a hypothesis.
5. Explores perspectives: Inductive research allows the exploration of different perspectives and meanings that may have been overlooked while focusing on a particular hypothesis. This can broaden the study's scope and opportunities for learning.
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