Overview of Various Types of Qualitative Research Design and Importance of ATLAS.ti Tool

Abstract

The article explores qualitative research types, highlighting its focus on subjective understanding and context through methodologies like interviews and focus groups. Key attributes include exploratory nature, smaller sample sizes, and a contextual approach, making it suitable for understanding user needs, in contrast to quantitative research. Qualitative research designs include various approaches: Narrative Research focuses on personal stories, while Phenomenology investigates how individuals perceive phenomena. Grounded Theory systematically analyzes data to create theories, and Ethnography 
examines cultural behaviors through immersion in specific groups. Case Studies entail an in-depth analysis of specific cases. It presents ATLAS.ti, a Computer Assisted Qualitative Data Analysis Software that supports various methodologies, enhances team collaboration, and aids in organizing qualitative data. 

Common data sources utilized in ATLAS.ti include interview transcripts, focus group discussions, open-ended survey responses, observation field notes,  and multimedia files such as audio, video, and images. ATLAS.ti offers systematic coding, AI-enhanced analysis, and advanced visualization tools, facilitating  comprehensive qualitative research across diverse data types. By detailing basic activities at each stage of the process and including screenshots, the paper  aims to create an accessible resource for other researchers utilizing ATLAS.ti.