Under this approach, personal histories or experiences of more than one individual are collected to have a deeper and at the same time, expanded understanding of the phenomenon under study. The higher the number of sources of information, the higher the chances of the researcher of generating an insight that would truly provide a meaningful understanding of the event or phenomenon. Like narrative research, phenomenology is also interested in specific details of the phenomenon; however, in phenomenology, the specific details are highlighted as this approach seeks to answer the "what" and "how" of an event or phenomenon. Ethnography involves an understanding the lived experiences of a homogenous group. It shares similarities with narrative research and phenomenology, but the homogenous group component in its approach sets it apart from the others. Since it studies a homogenous group, the researcher's data analysis is more concerned about identifying specific socio-cultural elements in the group that are either recurring or extraordinarily different from the others. The identification of any deviations from the norm in the group is a critical factor that the researcher looks out for, as this provides validation about the consistency and strength...

However, it is also similar with narrative research analysis because it provides a specific scenario relevant to the phenomenon under study. It is through this scenario that analysis -- identification of themes and contexts in which these themes occurred -- will be conducted.
Lastly, grounded theory has perhaps the most systematic method of conducting data analysis in the domain of qualitative research. Under grounded theory, themes are not just identified, but are intensively and extensively coded to identify any concept, idea, or insight that can help describe and analyze the event or phenomenon under study. As this approach's ultimate goal is to establish a model or theory, these themes, concepts, ideas or insights must then be both valid and reliable in as far as qualitative information is concerned. Used against any scenario relevant to the phenomenon, a model and/or theory must be able to prove its applicability/relevance, which would then be proof that indeed, analysis was conducted very well by the researcher.