After devising a proper qualitative methodology for your study, you’re ready to embark on the Data Analysis Chapter of your dissertation. There are many forms of qualitative research, including interpretative phenomenological analysis (IPA), other forms of phenomenological protocols, case study, narrative inquiry, grounded theory, and ethnography.

Perhaps the most integral component to completing this step is software, and there are many tools available such as NVivo, ATLAS.ti, Dedoose, and MAXQDA for qualitative data. Generally, the data analysis often involves protocol such as interviews, survey questionnaire, focus groups, and observational notes which allow us to compile and analyze overarching themes and patterns among the study participants.

After the analysis has been completed, our task is to interpret the results in the context of theoretical and conceptual framework previously established–as well as the comparison of results to studies previously considered in your review of literature. The final chapter should also include any limitations of the study conducted, any new findings, recommendations for future research, and implications for social change and theory.

To discuss your specific project and analysis, you can reach out to us via phone or email, and our team will be in touch right away to let you know exactly how we can assist.