RESEARCH METHODOLOGY

Detailed explanation-1: -Typically, results from qualitative research have been assumed to apply only to the small groups studied, such that generalizability of the results to other populations is not expected. For this reason, qualitative research is considered to be hypothesis generating, although some experts dispute this limitation.

Detailed explanation-2: -Qualitative research is used to formulate a hypothesis. If you need deeper information about a topic you know little about, qualitative research can help you uncover themes. For this reason, qualitative research often comes prior to quantitative.

Detailed explanation-3: -Hypothesis generation is a pre-decisional process by which we formulate explanations and beliefs regarding the occurrences we observe in our environment. The hypotheses we generate from long-term memory (LTM) bring structure to many of the ill-structured decision making tasks we commonly encounter.

Detailed explanation-4: -What is Hypothesis Generation? Hypothesis generation is an educated “guess” of various factors that are impacting the business problem that needs to be solved using machine learning. In framing a hypothesis, the data scientist must not know the outcome of the hypothesis that has been generated based on any evidence.

Detailed explanation-5: -In hypothesis generating research, the researcher explores a set of data searching for relationships and patterns, and then proposes hypotheses which may then be tested in some subsequent study. However, while these objectives remain distinct, we see no reason not to pursue both of them in a single research project.