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Data Analysis in Scientific Research

Book Title: AI Horizons – Exploring Multidisciplinary Frontiers (Volume 4)

Editors: Dr. Shweta A. Bansal and Dr. Charu Chhabra (PT)

ISBN: 978-81-984464-6-6

Chapter: 4

DOI: https://doi.org/10.59646/aihc4/305

Authors: Preeti, Parinika Arora, Simran Bhatia

Abstract

Narrative analysis is a kind of qualitative analysis that develops , from accounts told by people, the analysis of stories that centre on the people’s lives and experiences. This type of analysis is therefore unique in that it provides the unique voices and stories that people have and how they understand life, thus it is unique in qualitative research. AI tools can be used quickly in both data preparation (cleaning and organizing for analysis) and collection (ingesting from multiple sources). In order to obtain insights and patterns from prepared data, machine learning (ML) models can be built and deployed. The processes of identifying a problem, hypothesizing possible solutions, and developing new information are used in addressing and solving scientific issues using the scientific research method. The three stages of the scientific method involve the use of scientific research: identifying scientific problems in the first phase of synthesis; attempting to solve these problems in the analysis phase; and incorporating newly generated knowledge into the body of existing knowledge in the final phase of synthesis.

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