Health Service Research Proposal Synopsis and Presentation

Health Service Research Proposal Synopsis and Presentation

Instructions:

Health Services Research Proposal Synopsis

This assignment details your Health Services Research Proposal Synopsis. ALL proposals for
any type of scholarly work must cover the 5 bold points in the key elements below:
Section/Chapter1 contains:

  1. Background and need for the work
  2. Problem statement
  3. Scholarly Objective, Research question (and hypotheses if needed)
    Section/Chapter 2 contains
  4. Study-relevant information obtained from a review of the literature
    Section/Chapter 3 contains
  5. Approach (method/design) and some information on 6-13 below
    a. Study design used
    b. Sample, population, participants
    c. Data source, data collection instruments and procedures
    d. Definitions of study variables or study dimensions of interest
    e. Data analysis procedures or procedures for organizing findings of
    qualitative studies
    f. Limitations
    g. Results, expected findings
    h. Potential significance of findings, expected conclusions, importance of
    research
    In 5-6 pages using APA format, write a Research Proposal Synopsis. Utilizing your work from
    assignments 2 and 3, write a proposal synopsis which includes all of the bold elements above and
    conclude your proposal with a brief paragraph (3-4 sentences) describing what you learned from
    this assignment. Students will give a presentation on their proposals.
    When structuring your Methods section of the Research Proposal Synopsis, use part of the
    formal outline of a methods section as listed below. The section headings for
    exploratory/descriptive, case studies, and best practices papers are in parentheses when they
    differ from headings used in hypothesis testing studies.

METHODS
Study Objective(s)
Hypotheses (or Research Questions)
Approach or Study Design
Data Sources (or Population)
Specification of Variables (or Specification of Questions [Opinions or Insights] to be
Elicited)
Data Collection or Data Set Construction (for archival data sets)
Data Analysis
In addition to the 5-6 pages, include a bibliography and separately upload a Word document
containing all 10 of the required annotated bibliographies.
As a guide to writing your proposal synopsis, go through the process of answering the questions
posed below. DO NOT INCLUDE THESE IN YOUR ASSIGNMENT, this is just a process to
assist you. Use the text to help you through this process. Make notes or write drafts as you
proceed.

  1. Restate or revise/clarify the project question you identified in Assignment 2. Based on
    what you have learned, using your Problem Description and your Literature Review,
    what objective (or research questions) do you NOW want your study to meet? (It may
    have changed after your initial research).
  2. What type of scholarly inquiry is your study (they each have different formats for
    writing)?
    a. Is this a project aimed at informing professional practice by integrating what is
    known into a “best practices” or “new insights” document?
    b. Is it an organizational case study or a consulting report?
    c. Is this a prospective study where you collect qualitative data?
    d. Is this a survey using a previously validated instrument?
    e. Are you developing and pilot testing a survey instrument?
    f. Are you analyzing archival data to describe a problem or issues in current
    practice?
    g. Is your study and analysis of archival (previously collected) data that tests a
    hypotheses using inferential statistics?
    h. Will you collect data prospectively and use these data to test a hypothesis?
  3. Where or from whom and how can you get the data or information you need?
  4. How will you collect those data or the information of interest?
  5. How will you measure/record the evidence?
  6. Which factors may affect your findings? Can you measure/and or control many of these
    irrelevant factors?
  7. For quantitative evidence, what statistical approaches will you use to analyze your data?
    For qualitative approaches, how will you organize your responses?
  8. What do you expect to find? How will you report these findings?

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