For your research questions, identify what type of data you will collect in order to address your research question. You will be answering these questions:
Who will your participants be?
Is the data quantitative or qualitative in nature—should it be in the form of numbers or words?
What methods might you apply to glean the information that you seek?
What instruments, measures, or tools would you use in your study?
Also, identify how you would analyze the data that you collect. Will you be conducting statistical analyses of any kind? Or, will you be using coding and categorizing? Will you be using any computer software to assist with the analysis?
Finally, consider the results of the study. Who should know about these results? How will you present them?
By successfully completing this assignment, you will demonstrate your proficiency in the following EPAs and practice behaviors:
C4: Engage In Practice-informed Research and Research-informed Practice
C4.GP.B Apply critical thinking to engage in analysis of quantitative and qualitative research methods and research findings.
Instructions
Include the following components in your paper:
Research Question
Restate your overarching research question.
Evaluate critical sub-questions related to a primary research question. In other words, what questions require answers in order to address the primary question?
Participants
Propose a relevant pool of participants.
Data
Justify data sources (artifacts, literature, et cetera) relevant to a given research problem. Are you seeking information represented by numbers or words? Stated differently, are you interested in quantitative, qualitative data, or both? Describe these.
Data Collection
Analyze contextually appropriate data-collection tools.
Data Interpretation
Evaluate the approach to relevant data interpretation. Be sure to explain why you have selected this approach. Consider whether you will use any computer software or programs to assist with the data analysis.
Audience and Medium
Assess the appropriate audience and medium for final data analysis. Include how you propose to present them and what format would be most appropriate to communicate your results to your audience.
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