Your research proposal must include the following sections:

Background and rationale for the study
Review of the relevant literature
Design and methodology
You must include the following components:

Section One: Introduction

The research proposal should:

Start with a statement of the problem and objective for the study, which articulates the main objectives that the study desires to achieve.
Include a description of the theoretical framework to be utilized and a rationale for choosing a framework.
Describe the significance and relevance of the problem. Why is this particular study needed? How will findings contribute to the field of advanced practice nursing? Why is this research needed?

Section Two: Literature Review

The literature review should:

Be a synthesis of the major concepts from recently published research findings.
Be organized by themes and not just a report about what each author discovered in his or her research findings.
Identify no fewer than six relevant research articles.
Synthesize the literature in relation to where the study fits within the context of the proposed study.
Section Three: Design and Methodology

In this section, what is to be done, and who, what, how, and where are all to be included in your proposal. The methods should be relevant to the question that is to be answered as a result of the research study. There should be information included about the study design, the setting and sample, data collection methods, and data collection analysis procedures. Ethical considerations should also be addressed in this area. Limitations and a plan for communicating the research findings should also be included in this section.

All critical elements of design and methods should be detailed, including:

Definitions of the variables
Identification of the population and sample
Procedures for sampling
Processes for obtaining consent to do the study
Informed consent form to be given to research participants
Data collection procedures
A clearly stated method of data analysis
An explanation on why your data analysis method is appropriate for your research
Issues related to validity and reliability
Ethical considerations (including plans for the protection of human subjects as appropriate)


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