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Running head: DATA ANALYSIS STRATEGY 1

DATA ANALYSIS STRATEGY 2

Data Analysis Strategy

Mordechai Gofman

Capella University

Data Analysis Strategy

For data collected using ethnographic approach, the most appropriate method of data analysis will be discourse analysis because the data will be based analyzing interview texts. Discourse analysis is dependent on the researcher ability to interpret the texts from data collected using interview approaches (Mullet, 2018). However, the approach has the possibility of alternative interpretation of data collected. Discourse analysis is important in this research because the researcher can effectively interpret the data collected either through written or spoken texts. This strategy to data analysis can be manipulated by the researcher to suit different scenarios and research questions. This makes it easier to discover the perceptions held by the participants regarding the topic under discussion, which other data analysis methods might not uncover. However, this approach can consume considerably huge amounts of time because it focuses on analysis of the language used by the research informants during interviews. This method could also be augmented by other qualitative techniques such as observation and interviewing of focus groups.

On the other hand, phenomenological method of data collection focuses on studying individual’s experience that happen in their lives (Creswell & Poth, 2018). The most suited data analysis strategy that can be used in phenomenological data is narrative analysis. Narrative analysis will be instrumental in understanding how the research participants perceive the influence that digital age has had on their lives. The participants in this case are the first to interpret their own experience of the given research phenomenon by giving a narrative, and then the researcher interpret the narrative from the participants (Haydon, Browne & van der Riet, 2018). The researchers can derive the narratives from interviews and focus groups. Basically, the researcher will analyze the perspectives of the people regarding the research topic, and focusing this perspective in answering the research question. This helps the researcher are representing their experiences about a given research phenomena and how they present it to others.

References

Creswell, J., & Poth, C. (2018). Qualitative inquiry and research design: Choosing 

among five approaches (4th edition). Thousand Oaks, CA: Sage

Haydon, G., Browne, G., & van der Riet, P. (2018). Narrative inquiry as a research methodology exploring person centred care in nursing. Collegian, 25(1), 125-129.

Mullet, D. R. (2018). A general critical discourse analysis framework for educational research. Journal of Advanced Academics, 29(2), 116-142.