Formulate a Strategy for Data Collection



During Weeks 3 and 4, you learned about various qualitative research designs. This week, you will build on this knowledge. Select two of the five research designs. Define and explain the features of each design using the resources provided and three other quality resources. Next, develop data collection processes for each of the selected designs that include discussions of sample size, sampling technique, data collection materials, and instrumentation. You can include diagrams if you would like.

You are already familiar with the types of instruments used in quantitative data collection, but these are distinctly different from what is useful in qualitative studies. Qualitative instruments must be structured so that you are collecting deep and broad data to fully understand the research question. In most cases, you must design an instrument to extract specific experiential information from your participants. Data collection can occur through face-to-face interviews, focus groups, or observation; there are also other ways to select qualitative data.

When constructing your data collection plan, it must be clear and it must contain all the steps that you will take when collecting information from your participants. You will have to include any secondary data that you will collect. Secondary data can include documents or other evidence that can contribute to understanding the central phenomenon under study. How will you ensure a data saturation? Remember, practices like member checking, follow-up interviews, or transcript review are used by qualitative researchers to ensure data saturation.

Ultimately when writing this section of your study, it must be logical, repeatable, and reproducible. Every research decision must be based on accepted research practices; remember to include sources in your research plan to demonstrate the depth of your knowledge and the support of the academic community.

Length: 4-5 pages, not including cover and references pages.


Please note one design must be Phenomenological